1. A portable sleep quality monitoring device, comprising: a set of sensors configured to detect physiological and environmental parameters associated with sleep; a processor for analyzing detected parameters in real-time; a memory for storing user sleep data over multiple sessions; and a communication interface for transmitting sleep data to an external device or cloud-based system.

2. The device of claim 1, wherein the set of sensors includes heart rate, respiration rate, body temperature, and ambient light sensors.

3. The device of claim 1, further comprising: a display for providing real-time feedback and historical sleep quality summaries to the user.

4. The device of claim 1, wherein the processor is further configured to determine sleep phases, including REM and non-REM cycles, based on the detected physiological parameters.

5. The device of claim 1, further comprising: a power management system allowing for extended monitoring periods without the need for frequent recharging or battery replacement.

6. A method for monitoring sleep quality using a portable device, comprising: detecting physiological and environmental parameters associated with a user's sleep using a set of sensors; processing the detected parameters in real-time to assess sleep quality; storing sleep data in a memory for longitudinal sleep quality tracking; and transmitting stored sleep data for further analysis or backup.

7. The method of claim 6, further comprising: alerting the user of potential sleep disturbances or anomalies based on the real-time analysis of detected parameters.

8. The method of claim 6, further comprising: analyzing historical sleep data to identify trends, improvements, or deteriorations in sleep quality over time.

9. The method of claim 6, wherein processing the detected parameters includes categorizing sleep into various phases, such as REM, light sleep, and deep sleep, and determining the duration spent in each phase.

10. The method of claim 6, further comprising: providing recommendations to the user on potential interventions or changes in behaviour to enhance sleep quality based on the accumulated sleep data. PORTABLE SLEEP QUALITY MONITORING DEVICE Abstract A state-of-the-art portable device tailored for comprehensive monitoring of sleep quality. Equipped with an array of sensors, this device adeptly captures both physiological markers and surrounding environmental nuances integral to sleep experiences. A nimble processor within ensures real-time analysis of the gathered parameters, whilst an inbuilt memory archives sleep metrics across numerous sessions. Complementing its core functions, a versatile communication interface stands ready to relay the collated sleep data, facilitating seamless transmissions either to an external gadget or a cloud-centric platform, thereby offering a holistic solution for tracking and enhancing sleep health. , Claims:Claims :

1. A portable sleep quality monitoring device, comprising: a set of sensors configured to detect physiological and environmental parameters associated with sleep; a processor for analyzing detected parameters in real-time; a memory for storing user sleep data over multiple sessions; and a communication interface for transmitting sleep data to an external device or cloud-based system.

2. The device of claim 1, wherein the set of sensors includes heart rate, respiration rate, body temperature, and ambient light sensors.

3. The device of claim 1, further comprising: a display for providing real-time feedback and historical sleep quality summaries to the user.

4. The device of claim 1, wherein the processor is further configured to determine sleep phases, including REM and non-REM cycles, based on the detected physiological parameters.

5. The device of claim 1, further comprising: a power management system allowing for extended monitoring periods without the need for frequent recharging or battery replacement.

6. A method for monitoring sleep quality using a portable device, comprising: detecting physiological and environmental parameters associated with a user's sleep using a set of sensors; processing the detected parameters in real-time to assess sleep quality; storing sleep data in a memory for longitudinal sleep quality tracking; and transmitting stored sleep data for further analysis or backup.

7. The method of claim 6, further comprising: alerting the user of potential sleep disturbances or anomalies based on the real-time analysis of detected parameters.

8. The method of claim 6, further comprising: analyzing historical sleep data to identify trends, improvements, or deteriorations in sleep quality over time.

9. The method of claim 6, wherein processing the detected parameters includes categorizing sleep into various phases, such as REM, light sleep, and deep sleep, and determining the duration spent in each phase.

10. The method of claim 6, further comprising: providing recommendations to the user on potential interventions or changes in behaviour to enhance sleep quality based on the accumulated sleep data.

Description:PORTABLE SLEEP QUALITY MONITORING DEVICE
Field of the Invention
[0001] The present invention intersects the domains of portable medical diagnostic devices and sleep science. Specifically, this invention relates to a portable device meticulously engineered to monitor, analyze, and report on sleep quality. Equipped with compact yet powerful sensors, adaptive algorithms, and user-friendly interfaces, the device effortlessly captures and interprets various physiological parameters associated with sleep. Whether tracking sleep cycles, respiratory rhythms, or nocturnal movements, this portable apparatus delivers accurate insights into sleep health and disturbances. Its convenience and precision make it a vanguard tool, bridging the gap between clinical sleep studies and daily self-monitoring, ensuring individuals achieve optimal rest and well-being.
Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Sleep quality plays a critical role in overall health and well-being. Traditional methods of assessing sleep quality, such as self-reporting and polysomnography (PSG) conducted in sleep clinics, have limitations in terms of accuracy, accessibility, and convenience. The emergence of portable sleep quality monitoring devices has revolutionized sleep assessment by providing individuals with the ability to monitor their sleep patterns and gather valuable insights in the comfort of their own homes.
[0004] Wearable sleep trackers, often in the form of smartwatches or fitness bands, were among the earliest portable devices for sleep quality monitoring. These devices use accelerometers and heart rate sensors to track movement and physiological changes during sleep. They provide metrics such as total sleep time, sleep efficiency, time spent in different sleep stages, and even detect disturbances like sleep apnea events. Examples include products from Fitbit, Garmin, and Apple.
[0005] Bedside sleep monitors are devices that are placed on or near the bed to measure sleep parameters without the need to be worn on the body. These devices often use ballistocardiography (BCG) or piezoelectric sensors to detect movement caused by breathing and other physiological processes. The SleepScore Max is an example of a device that uses BCG to assess sleep quality without requiring direct contact with the body.
[0006] Some innovative devices utilize radio frequency (RF) technology or radar to monitor sleep without any physical contact with the user. These devices capture breathing patterns, heart rate variability, and movement during sleep. Google's Soli technology is an example of radar-based contactless sleep monitoring that can analyze even subtle movements to assess sleep quality.
[0007] Mobile apps equipped with advanced audio analysis algorithms offer a novel way to assess sleep quality. These apps use the smartphone's microphone to capture audio signals associated with breathing sounds, snoring, and other sleep-related noises. By analyzing these sounds, the apps can provide insights into sleep disturbances and potentially diagnose sleep disorders.
[0008] Some devices combine sleep monitoring with other functions, such as alarm clocks or smart home integration. These devices can wake users up at optimal points in their sleep cycles, enhancing the waking experience. They may also integrate with other smart home devices to adjust environmental factors like lighting and temperature to improve sleep quality.
[0009] Portable sleep quality monitoring devices offer several key advancements. These devices enable individuals to monitor their sleep quality without the need for clinical visits or cumbersome equipment, promoting widespread access to sleep assessment. The ability to monitor sleep over extended periods allows for the analysis of trends and changes in sleep patterns, facilitating a deeper understanding of individual sleep habits.
[00010] Many devices offer personalized recommendations based on the collected data, helping users make lifestyle adjustments to improve their sleep quality. Immediate feedback on sleep quality empowers users to make informed decisions about their sleep habits and potential interventions. The non-intrusive design of these devices eliminates the need for uncomfortable wires or sensors attached to the body, promoting user comfort and compliance.
[00011] In conclusion, portable sleep quality monitoring devices have transformed the field of sleep assessment by offering individuals a convenient and accurate way to track their sleep patterns. By leveraging a range of technologies from wearables to contactless monitoring, these devices empower users to take control of their sleep health and make informed decisions to improve their overall well-being.
[00012]
[00013] All references, including publications, patent applications, and patents, cited herein are hereby incorporated by reference to the same extent as if each reference were individually and specifically indicated to be incorporated by reference and were set forth in its entirety herein.
Summary
[00014] Various objects, features, and advantages of the disclosed subject matter can be more fully appreciated with reference to the following detailed description of the disclosed subject matter when considered in connection with the following drawings, in which like reference numerals identify like elements.
[00015] The present invention intersects the domains of portable medical diagnostic devices and sleep science. Specifically, this invention relates to a portable device meticulously engineered to monitor, analyze, and report on sleep quality. Equipped with compact yet powerful sensors, adaptive algorithms, and user-friendly interfaces, the device effortlessly captures and interprets various physiological parameters associated with sleep. Whether tracking sleep cycles, respiratory rhythms, or nocturnal movements, this portable apparatus delivers accurate insights into sleep health and disturbances. Its convenience and precision make it a vanguard tool, bridging the gap between clinical sleep studies and daily self-monitoring, ensuring individuals achieve optimal rest and well-being.
[00016] The portable sleep quality monitoring device represents a breakthrough in sleep assessment technology, combining advanced sensors, real-time analysis, and user-friendly features to provide comprehensive insights into sleep patterns and quality.
[00017] At its core, this device is equipped with a set of sensors designed to capture a wide array of physiological and environmental parameters associated with sleep. These sensors, including heart rate, respiration rate, body temperature, and ambient light sensors, create a holistic picture of the user's sleep environment and physiology.
[00018] The device's processor plays a pivotal role in delivering immediate insights. It analyzes the detected parameters in real-time, enabling users to gain valuable information about their sleep quality and patterns as they unfold during the night.
[00019] The device's memory ensures the accumulation of user sleep data over multiple sessions. This historical data storage empowers users to track their sleep trends, observe improvements over time, and make informed decisions about their sleep habits.
[00020] To extend the device's capabilities beyond its physical boundaries, a communication interface enables the transmission of sleep data to external devices or cloud-based systems. This connectivity fosters seamless integration with other health-monitoring tools and platforms, facilitating a comprehensive view of the user's overall well-being.
[00021] A user-centric approach is evident in the device's design. It includes a display that offers real-time feedback, allowing users to monitor their sleep quality and make on-the-fly adjustments to their sleep environment if needed. Additionally, the display provides summaries of historical sleep quality, empowering users to make informed decisions about their sleep routines.
[00022] One of the device's notable features is its ability to determine sleep phases, such as REM and non-REM cycles, based on the detected physiological parameters. This level of sophistication provides users with deeper insights into their sleep patterns, facilitating a more comprehensive understanding of their sleep quality.
[00023] Addressing the need for convenience, the device incorporates a power management system that ensures extended monitoring periods without the hassle of frequent recharging or battery replacement. This design choice enables users to experience uninterrupted sleep monitoring over extended periods.
[00024] In conclusion, the portable sleep quality monitoring device represents a paradigm shift in sleep assessment and monitoring. Its sophisticated sensors, real-time analysis capabilities, historical data storage, and user-friendly features converge to empower individuals to take charge of their sleep health. By offering insights, trends, and actionable recommendations, the device becomes an invaluable tool for enhancing sleep quality and overall well-being.
[00025] The method for monitoring sleep quality using a portable device offers a comprehensive solution to understanding and improving sleep health through advanced sensor technology and data analysis.
[00026] The foundation of this method is its ability to detect a wide range of physiological and environmental parameters associated with a user's sleep. Utilizing a set of sensors, including those for heart rate, respiration rate, body temperature, and ambient light, the device gathers crucial data that paints a detailed picture of the user's sleep environment and bodily responses.
[00027] In real-time, the method processes the detected parameters to assess the user's sleep quality. By analyzing this data, the device provides immediate insights into the quality of sleep the user is experiencing, allowing for informed decisions on sleep routines or environments.
[00028] To facilitate long-term sleep quality tracking, the method incorporates a memory function. The user's sleep data is stored over multiple sessions, enabling users to track trends, make correlations, and monitor improvements or setbacks in their sleep quality over time.
[00029] A further dimension to this method is its capability to transmit stored sleep data for further analysis or backup. This connectivity ensures that sleep data is securely stored and can be used for in-depth analysis, enabling healthcare professionals or users to gain a comprehensive view of sleep patterns and health.
[00030] The method goes beyond simple data collection by providing actionable insights to users. It can alert the user of potential sleep disturbances or anomalies based on real-time analysis, empowering them to address potential issues and take proactive measures to improve sleep quality.
[00031] By analyzing historical sleep data, the method identifies trends, improvements, or deteriorations in sleep quality over time. This allows users to make data-driven decisions to optimize their sleep routines and overall well-being.
[00032] The method also categorizes sleep into various phases, such as REM, light sleep, and deep sleep, and determines the duration spent in each phase. This granularity offers a deeper understanding of sleep patterns and helps users identify areas for improvement.
[00033] In addition to providing insights, the method offers recommendations to users on potential interventions or changes in behavior to enhance sleep quality. By leveraging accumulated sleep data, the device becomes a personalized guide, suggesting strategies to optimize sleep health.
[00034] In conclusion, the method for monitoring sleep quality using a portable device presents a holistic approach to sleep health management. By combining advanced sensor technology, real-time analysis, data storage, and actionable recommendations, the method equips users with the tools they need to make informed decisions, foster positive sleep habits, and ultimately improve their overall quality of life.
Brief Description of the Drawings
[00035] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00036] FIG. 1 represents an architectural overview of a portable sleep quality monitoring device, according to some embodiments of the present disclosure.
[00037] FIG. 2 shows an exemplary detailed schematic flow diagram of a method for monitoring sleep quality using a portable device, according to some embodiments of the present disclosure.

Detailed Description
[00038] The following is a detailed description of exemplary embodiments to illustrate the principles of the invention. The embodiments are provided to illustrate aspects of the invention, but the invention is not limited to any embodiment. The scope of the invention encompasses numerous alternatives, modifications and equivalent; it is limited only by the claims.
[00039] In view of the many possible embodiments to which the principles of the present discussion may be applied, it should be recognized that the embodiments described herein with respect to the drawing figures are meant

to be illustrative only and should not be taken as limiting the scope of the claims. Therefore, the techniques as described herein contemplate all such embodiments as may come within the scope of the following claims and equivalents thereof.
[00040] The detailed description is described with reference to the accompanying figures. In the figures, the left-most digit(s) of a reference number identifies the figure in which the reference number first appears. The use of the same reference numbers in different instances in the description and the figures may indicate similar or identical items.
[00041] Pursuant to the "Detailed Description" section herein, whenever an element is explicitly associated with a specific numeral for the first time, such association shall be deemed consistent and applicable throughout the entirety of the "Detailed Description" section, unless otherwise expressly stated or contradicted by the context.
[00042] The present invention intersects the domains of portable medical diagnostic devices and sleep science. Specifically, this invention relates to a portable device meticulously engineered to monitor, analyze, and report on sleep quality. Equipped with compact yet powerful sensors, adaptive algorithms, and user-friendly interfaces, the device effortlessly captures and interprets various physiological parameters associated with sleep. Whether tracking sleep cycles, respiratory rhythms, or nocturnal movements, this portable apparatus delivers accurate insights into sleep health and disturbances. Its convenience and precision make it a vanguard tool, bridging the gap between clinical sleep studies and daily self-monitoring, ensuring individuals achieve optimal rest and well-being.
[00043] Pursuant to the "Detailed Description" section herein, whenever an element is explicitly associated with a specific numeral for the first time, such association shall be deemed consistent and applicable throughout the entirety of the "Detailed Description" section, unless otherwise expressly stated or contradicted by the context.
[00044] Sleep is a fundamental aspect of human health and well-being, influencing various physiological and psychological processes. Monitoring sleep quality has become increasingly important as poor sleep can lead to a range of health issues. In response to this need, the portable sleep quality monitoring device has emerged as a cutting-edge solution. According to a pictorial portrayal in FIG. 1, illustrating an architectural setup of the device 100 that employs a combination of sensors, a robust processor, memory storage, and communication capabilities to provide users with a comprehensive overview of their sleep patterns.
[00045] This detailed disclosure presents an in-depth exploration of a revolutionary portable sleep quality monitoring device 100. The device incorporates a sophisticated set of sensors 102 designed to detect both physiological and environmental parameters related to sleep. With a powerful processor 104 for real-time analysis, a memory 106 for storing sleep data over multiple sessions, and a communication interface 108 for data transmission, this device 100 aims to provide users with accurate insights into their sleep patterns. The disclosure also discusses the device's various features, such as its sensors, real-time feedback display, sleep phase detection capabilities, and power management system.
[00046] In an embodiment, the core of the portable sleep quality monitoring device lies in its set of sensors that are strategically positioned to detect both physiological and environmental parameters associated with sleep. These sensors work harmoniously to capture essential data that contribute to a detailed sleep analysis. For instance, heart rate sensor measures the user's heart rate throughout the sleep cycle, revealing fluctuations that might indicate changes in sleep stages, such as transitions from light sleep to deep sleep or rapid eye movement (REM) sleep. Respiration rate sensor monitor the user's respiration rate offers insights into breathing patterns, potential breathing disturbances, and the presence of conditions like sleep apnea. Body temperature sensor detect changes in body temperature can highlight variations that occur during different sleep phases. For example, body temperature tends to drop during the night's deeper sleep stages. The ambient light sensor gauges the user's sleeping environment, recognizing light exposure that might disrupt sleep or influence circadian rhythms.
[00047] At the heart of the device is a powerful processor responsible for real-time analysis of the data collected by the sensors. This processor employs advanced algorithms to interpret the physiological and environmental data, enabling it to identify sleep phases, such as REM and non-REM cycles. By correlating heart rate, respiration rate, body temperature, and ambient light data, the device can estimate the different stages of sleep a user experiences throughout the night.
[00048] For instance, when the heart rate and respiration rate are relatively stable and body temperature drops, the device can infer that the user is in a deep sleep phase. Conversely, rapid fluctuations in heart rate and respiration rate, coupled with increased body temperature, may suggest REM sleep.
[00049] In yet another embodiment, the device 100 features a memory storage system that allows users to accumulate sleep data over multiple sessions. This stored information serves as a valuable resource for individuals and their healthcare providers to identify long-term trends in sleep patterns. By observing changes in sleep quality and duration over weeks or months, users can make informed decisions to improve their sleep hygiene and overall well-being.
[00050] In yet another embodiment, the communication interface is a pivotal aspect of the device, enabling users to transmit their sleep data to external devices or cloud-based systems. This data sharing feature facilitates a comprehensive analysis by healthcare professionals, researchers, or the users themselves. Users can gain deeper insights into their sleep habits, detect patterns, and receive personalized recommendations for optimizing their sleep quality.
[00051] To enhance user engagement and awareness, the device incorporates a display that provides real-time feedback on sleep quality metrics. During the night, users can access immediate information about their sleep stages, heart rate, respiration rate, and other relevant data. Additionally, the display offers historical sleep quality summaries, enabling users to track their progress over time.
[00052] In yet another embodiment, the device's power management system is designed for extended monitoring periods without frequent recharging or battery replacement. This feature ensures that users can comfortably use the device throughout the night without concerns about interruption due to low battery. The power management system employs energy-efficient strategies to maximize the device's usability.
[00053] The portable sleep quality monitoring device has a wide range of practical applications. Individuals can use the device to gain insights into their sleep patterns, identify disturbances, and implement strategies for better sleep quality. Healthcare professionals can utilize the device's data to diagnose sleep disorders like sleep apnea or insomnia, leading to more targeted treatment plans. Researchers can leverage the large dataset collected by the device to conduct studies on sleep patterns, environmental influences, and their impact on health outcomes.
[00054] Referring to one or more preceding embodiments, the portable sleep quality monitoring device represents a groundbreaking advancement in sleep monitoring technology. By combining a sophisticated set of sensors, real-time analysis, memory storage, communication capabilities, and user-friendly features, this device empowers users to take charge of their sleep health. As our understanding of the importance of sleep deepens, tools like this device are poised to play a pivotal role in improving the sleep quality and overall well-being of individuals across the globe.
[00055] In today's fast-paced world, the significance of sleep quality cannot be underestimated. Monitoring sleep patterns has become essential for maintaining good health and well-being. This disclosure explores an innovative method 200 that capitalizes on a portable device's capabilities to meticulously monitor sleep quality. By integrating a set of sensors, real-time data processing, memory storage, and communication features, this method offers a holistic approach to understanding and improving sleep habits.
[00056] This detailed exploration delves into a pioneering method 200 for monitoring sleep quality using a portable device. Figuratively depicted in FIG. 2, representing a flow diagram of the method 200 that harnesses a sophisticated array of sensors to (at step 202) detect both physiological and environmental parameters associated with a user's sleep. These parameters are (at step 204) processed in real-time to provide an immediate assessment of sleep quality. The collected sleep data is (at step 206) stored in memory for longitudinal tracking, and the data can also be (at step 208) transmitted for further analysis or backup purposes.
[00057] The method 200 encompasses features like user alerts, historical trend analysis, sleep phase categorization, and personalized recommendations. By providing users with actionable insights and enhancing their sleep habits, this method contributes to improved overall well-being. Central to the method's success is the utilization of a set of sensors that capture a wide array of physiological and environmental parameters associated with sleep. These sensors are strategically designed to work in harmony, providing a comprehensive view of the user's sleep experience. For instance, by measuring the user's heart rate throughout the night, the method can identify variations in heart rate that correspond to different sleep stages. Elevated heart rate might indicate stress or wakefulness during sleep. Monitoring the user's respiration rate helps to detect irregular breathing patterns that might be indicative of sleep disorders like sleep apnea. Changes in body temperature are associated with distinct sleep phases. A drop in body temperature signifies the onset of deeper sleep stages. Ambient light sensor gauges the user's sleep environment, capturing variations in light exposure that could disrupt sleep or influence circadian rhythms.
[00058] The method's core feature is the real-time processing of the data collected by the sensors. A powerful processor employs advanced algorithms to analyze the physiological and environmental parameters. This enables the device to provide an immediate assessment of sleep quality to the user. For example, If the heart rate remains steady, respiration is regular, and body temperature drops, the method can deduce that the user is likely in a deep sleep phase. Conversely, if heart rate fluctuates, respiration is irregular, and body temperature increases, the device may infer that the user is in a REM sleep phase.
[00059] The method ensures that sleep data is not only analyzed in the short term but also stored for longitudinal tracking. The sleep data is securely stored in the device's memory, allowing users to observe trends and changes in their sleep quality over time.
[00060] Additionally, the method includes a communication feature that allows users to transmit their sleep data to external devices or cloud-based systems. This data sharing enables further analysis by medical professionals, researchers, or users themselves, leading to a more profound understanding of sleep patterns and their implications.
[00061] Based on real-time analysis, the method can alert users to potential sleep disturbances or anomalies. For instance, if irregular breathing is detected, the device can notify the user to seek medical attention. By analyzing historical sleep data, the method enables users to track trends, improvements, or deteriorations in their sleep quality over extended periods. This insight can aid users in making informed decisions about their sleep habits.
[00062] The method categorizes sleep into various phases such as REM, light sleep, and deep sleep. It determines the duration spent in each phase, helping users understand their sleep composition. The accumulated sleep data empowers the method to offer tailored recommendations for interventions or changes in behavior to enhance sleep quality. These suggestions could include adjusting sleep schedules, optimizing sleep environments, or adopting relaxation techniques.
[00063] The method's applications are wide-ranging. Individuals can proactively monitor their sleep health, detect potential issues, and make informed decisions to improve sleep quality. Healthcare professionals can employ the method to diagnose and manage sleep disorders more effectively, facilitating personalized treatment plans.
[00064] Researchers can leverage the collected dataset for in-depth studies on sleep patterns, factors affecting sleep, and their consequences on overall health.
[00065] Referring to one or more preceding embodiments, the method 200 for monitoring sleep quality using a portable device represents a significant leap in sleep monitoring technology. By integrating sensors, real-time analysis, memory storage, communication capabilities, and user-centric features, this method empowers individuals to take control of their sleep health. With its ability to provide real-time insights, historical tracking, and personalized recommendations, this method holds the potential to revolutionize the way we perceive and manage our sleep, ultimately leading to improved overall well-being.
[00066] Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are contained in the above discussions, these should not be construed as limitations on the scope of the subject matter described herein, but rather as descriptions of features that may be specific to particular embodiments. Certain features that are described in this specification in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable sub-combination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a sub-combination or variation of a sub-combination.
[00067] The term “memory,” as used herein relates to a volatile or persistent medium, such as a magnetic disk, or optical disk, in which a computer can store data or software for any duration. Optionally, the memory is non-volatile mass storage such as physical storage media. Furthermore, a single memory may encompass and in a scenario wherein computing system is distributed, the processing, memory and/or storage capability may be distributed as well.
[00068] Throughout the present disclosure, the term ‘server’ relates to a structure and/or module that include programmable and/or non-programmable components configured to store, process and/or share information. Optionally, the server includes any arrangement of physical or virtual computational entities capable of enhancing information to perform various computational tasks.
[00069] Throughout the present disclosure, the term “network” relates to an arrangement of interconnected programmable and/or non-programmable components that are configured to facilitate data communication between one or more electronic devices and/or databases, whether available or known at the time of filing or as later developed. Furthermore, the network may include, but is not limited to, one or more peer-to-peer network, a hybrid peer-to-peer network, local area networks (LANs), radio access networks (RANs), metropolitan area networks (MANS), wide area networks (WANs), all or a portion of a public network such as the global computer network known as the Internet, a private network, a cellular network and any other communication system or systems at one or more locations.
[00070] Throughout the present disclosure, the term “process”* relates to any collection or set of instructions executable by a computer or other digital system so as to configure the computer or the digital system to perform a task that is the intent of the process.
[00071] Throughout the present disclosure, the term ‘Artificial intelligence (AI)’ as used herein relates to any mechanism or computationally intelligent system that combines knowledge, techniques, and methodologies for controlling a bot or other element within a computing environment. Furthermore, the artificial intelligence (AI) is configured to apply knowledge and that can adapt it-self and learn to do better in changing environments. Additionally, employing any computationally intelligent technique, the artificial intelligence (AI) is operable to adapt to unknown or changing environment for better performance. The artificial intelligence (AI) includes fuzzy logic engines, decision-making engines, preset targeting accuracy levels, and/or programmatically intelligent software.

Claims
I/We Claim:
1. A portable sleep quality monitoring device, comprising:
a set of sensors configured to detect physiological and environmental parameters associated with sleep;
a processor for analyzing detected parameters in real-time;
a memory for storing user sleep data over multiple sessions; and
a communication interface for transmitting sleep data to an external device or cloud-based system.
2. The device of claim 1, wherein the set of sensors includes heart rate, respiration rate, body temperature, and ambient light sensors.
3. The device of claim 1, further comprising: a display for providing real-time feedback and historical sleep quality summaries to the user.
4. The device of claim 1, wherein the processor is further configured to determine sleep phases, including REM and non-REM cycles, based on the detected physiological parameters.
5. The device of claim 1, further comprising: a power management system allowing for extended monitoring periods without the need for frequent recharging or battery replacement.
6. A method for monitoring sleep quality using a portable device, comprising:
detecting physiological and environmental parameters associated with a user's sleep using a set of sensors;
processing the detected parameters in real-time to assess sleep quality; storing sleep data in a memory for longitudinal sleep quality tracking; and
transmitting stored sleep data for further analysis or backup.
7. The method of claim 6, further comprising: alerting the user of potential sleep disturbances or anomalies based on the real-time analysis of detected parameters.
8. The method of claim 6, further comprising: analyzing historical sleep data to identify trends, improvements, or deteriorations in sleep quality over time.
9. The method of claim 6, wherein processing the detected parameters includes categorizing sleep into various phases, such as REM, light sleep, and deep sleep, and determining the duration spent in each phase.
10. The method of claim 6, further comprising: providing recommendations to the user on potential interventions or changes in behaviour to enhance sleep quality based on the accumulated sleep data.

PORTABLE SLEEP QUALITY MONITORING DEVICE
Abstract
A state-of-the-art portable device tailored for comprehensive monitoring of sleep quality. Equipped with an array of sensors, this device adeptly captures both physiological markers and surrounding environmental nuances integral to sleep experiences. A nimble processor within ensures real-time analysis of the gathered parameters, whilst an inbuilt memory archives sleep metrics across numerous sessions. Complementing its core functions, a versatile communication interface stands ready to relay the collated sleep data, facilitating seamless transmissions either to an external gadget or a cloud-centric platform, thereby offering a holistic solution for tracking and enhancing sleep health.
, Claims:Claims
I/We Claim:
1. A portable sleep quality monitoring device, comprising:
a set of sensors configured to detect physiological and environmental parameters associated with sleep;
a processor for analyzing detected parameters in real-time;
a memory for storing user sleep data over multiple sessions; and
a communication interface for transmitting sleep data to an external device or cloud-based system.
2. The device of claim 1, wherein the set of sensors includes heart rate, respiration rate, body temperature, and ambient light sensors.
3. The device of claim 1, further comprising: a display for providing real-time feedback and historical sleep quality summaries to the user.
4. The device of claim 1, wherein the processor is further configured to determine sleep phases, including REM and non-REM cycles, based on the detected physiological parameters.
5. The device of claim 1, further comprising: a power management system allowing for extended monitoring periods without the need for frequent recharging or battery replacement.
6. A method for monitoring sleep quality using a portable device, comprising:
detecting physiological and environmental parameters associated with a user's sleep using a set of sensors;
processing the detected parameters in real-time to assess sleep quality; storing sleep data in a memory for longitudinal sleep quality tracking; and
transmitting stored sleep data for further analysis or backup.
7. The method of claim 6, further comprising: alerting the user of potential sleep disturbances or anomalies based on the real-time analysis of detected parameters.
8. The method of claim 6, further comprising: analyzing historical sleep data to identify trends, improvements, or deteriorations in sleep quality over time.
9. The method of claim 6, wherein processing the detected parameters includes categorizing sleep into various phases, such as REM, light sleep, and deep sleep, and determining the duration spent in each phase.
10. The method of claim 6, further comprising: providing recommendations to the user on potential interventions or changes in behaviour to enhance sleep quality based on the accumulated sleep data.