Abstract: Embodiments of the present invention relate to a novel medical device for monitoring respiratory health, designed to detect critical parameters such as airflow, oxygen saturation, and respiratory rate. The device integrates a multi-functional sensor module, a wireless communication unit for real-time data transmission to mobile applications or remote servers, and an intuitive display for immediate feedback on health status. Additionally, advanced machine learning algorithms analyze historical and real-time data to predict potential exacerbations of respiratory diseases. The device supports user engagement through a mobile application, allowing personalized health tracking and recommendations while synchronizing with other health-monitoring devices to provide a comprehensive overview of the user's overall health. This innovative approach significantly enhances the management and monitoring of respiratory conditions.
Description:For the purpose of promoting an understanding of the principles of the invention, reference will now be made to the embodiment illustrated in the drawings, and specific language will be used to describe the same. It will nevertheless be understood that no limitation of the scope of the invention is thereby intended, such alterations and further modifications in the illustrated system, and such further applications of the principles of the invention as illustrated therein being contemplated as would normally occur to one skilled in the art to which the invention relates.
It will be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the invention and are not intended to be restrictive thereof. Reference throughout this specification to “an aspect,” “another aspect,” or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, appearances of the phrases “in an embodiment,” “in another embodiment,” and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.
The terms "comprises," "comprising," or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such process or method. Similarly, one or more devices or sub-systems or elements or structures or components preceded by "comprises...a" does not, without more constraints, preclude the existence of other devices or other sub-systems or other elements or other structures or other components or additional devices or additional sub-systems or additional elements or additional structures or additional components.
Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The system, methods, and examples provided herein are illustrative only and not intended to be limiting.
In an embodiment, the medical device incorporates a sensor module specifically configured to detect essential respiratory parameters, including airflow, oxygen saturation, and respiratory rate. This sensor module works continuously to provide accurate and timely data that is critical for effective monitoring of respiratory health.
In another embodiment, the device features a wireless communication unit that facilitates real-time data transmission to a mobile application or remote server. This capability allows for ongoing analysis and monitoring of the patient’s respiratory metrics, significantly improving the accessibility of health information.
Additionally, in an embodiment, the device includes an integrated display that provides immediate feedback on the user’s respiratory health status. This feature enhances user engagement and enables individuals to make informed decisions regarding their health in real time.
Moreover, the sensor module may incorporate accelerometers and gyroscopes to assess respiratory effort during physical activities. This innovation is vital for understanding the impact of exercise on respiratory health and overall well-being.
In yet another embodiment, the device employs advanced machine learning algorithms within its data analysis system. This integration enables the prediction of potential exacerbations of respiratory diseases by analyzing historical data alongside real-time inputs, thereby facilitating proactive health management.
Furthermore, the device is designed for user-friendly interaction through a dedicated mobile application. Users can easily track their respiratory health over time and receive personalized recommendations based on their individual data patterns.
Lastly, in an embodiment, the device is capable of synchronizing with other health-monitoring devices, creating a comprehensive overview of the patient’s overall health status. This interconnected approach promotes holistic health management and enhances the quality of care provided to users.
, Claims:I/We Claim:
1. A medical device for monitoring respiratory health, comprising:
A sensor module configured to detect critical respiratory parameters, including airflow, oxygen saturation, and respiratory rate;
A wireless communication unit for real-time data transmission to remote servers or mobile applications.
2. The device of claim 1, wherein the wireless communication unit facilitates seamless data transmission, enabling real-time monitoring and analysis.
3. The device of claim 1, wherein the device continuously monitors respiratory parameters and generates alerts based on predefined thresholds.
4. The device of claim 1, further comprising an integrated display configured to provide immediate feedback on the user's respiratory health status.
5. The device of claim 1, wherein the sensor module includes accelerometers and gyroscopes to assess respiratory effort during physical activities.
6. The device of claim 1, further comprising machine learning algorithms within a data analysis system for predictive insights into potential disease exacerbations based on historical and real-time data.
7. The device of claim 1, wherein a mobile application enables users to track respiratory health over time and receive personalized recommendations.
8. The device of claim 1, wherein the device can synchronize with other health-monitoring devices to provide a comprehensive overview of the user's health status.
| # | Name | Date |
|---|---|---|
| 1 | 202411098055-FORM-9 [11-12-2024(online)].pdf | 2024-12-11 |
| 2 | 202411098055-FORM-5 [11-12-2024(online)].pdf | 2024-12-11 |
| 3 | 202411098055-FORM 3 [11-12-2024(online)].pdf | 2024-12-11 |
| 4 | 202411098055-FORM 1 [11-12-2024(online)].pdf | 2024-12-11 |
| 5 | 202411098055-FIGURE OF ABSTRACT [11-12-2024(online)].pdf | 2024-12-11 |
| 6 | 202411098055-DRAWINGS [11-12-2024(online)].pdf | 2024-12-11 |
| 7 | 202411098055-COMPLETE SPECIFICATION [11-12-2024(online)].pdf | 2024-12-11 |