Description:Brief Description of the Drawings

Generally, the present disclosure relates to medical devices. Particularly, the present disclosure relates to a Mini Electromyography (EMG) device.
Background
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.
The field of electromyography (EMG) has significantly evolved over the years, transitioning from a clinical tool to a versatile device applicable in various contexts including sports science, rehabilitation, and ergonomics. Traditional EMG devices often require professional installation, are bulky, and lack the flexibility needed for dynamic or long-term monitoring. Additionally, the need for real-time, precise muscle activity monitoring outside clinical settings has grown, highlighting the limitations of existing technologies in terms of portability, ease of use, and adaptability to various body parts.
The advent of 3D printing technology offers a revolutionary approach to creating customized medical and health-monitoring devices. This technology enables the production of components tailored to fit the unique contours of individual users, enhancing comfort and accuracy in data collection. Despite these advancements, integrating 3D printed components with sophisticated EMG sensing and data processing capabilities remains a challenge.
Most conventional EMG systems comprise bulky sensors that require careful placement and calibration by skilled personnel, making them impractical for everyday use by individuals without technical expertise. Furthermore, these systems often involve complex wiring and external power sources, restricting mobility and user comfort. The integration of sensors, especially in a manner that ensures consistent contact with the skin for accurate signal detection, presents a significant engineering challenge.
The recording and interpretation of EMG signals for meaningful use also pose considerable technical hurdles. Traditional systems rely on separate components for signal detection, processing, and analysis, leading to increased complexity and potential for error. The ability to accurately detect muscle activation, recruitment patterns, and changes in neuronal firing patterns requires sophisticated algorithms and processing units. However, integrating such capabilities into a compact, user-friendly device has been a persistent challenge in the field.
Existing EMG devices typically provide raw data or simplistic analyses, lacking the capacity to offer immediate, actionable insights to the user. For individuals seeking to understand their muscle activity for fitness, rehabilitation, or research purposes, the absence of a comprehensive, real-time display of muscle activation patterns limits the utility of these devices.
The Mini Electromyography (EMG) device described herein addresses these challenges by incorporating a customized 3D printed sensor mounting bracket, a novel fastening mechanism for easy attachment to various body parts, and integrated EMG sensors that ensure consistent contact with the skin. The device also features a user-actuated switch for convenient power management, a multiplexer for efficient data streamlining, a sophisticated control unit for advanced signal analysis, and a display module for immediate feedback on muscle activity. This invention represents a significant advancement in the field of EMG technology, providing a portable, user-friendly, and accurate system for monitoring muscle activity in various settings.
Summary
The following presents a simplified summary of various aspects of this disclosure in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements nor delineate the scope of such aspects. Its purpose is to present some concepts of this disclosure in a simplified form as a prelude to the more detailed description that is presented later.
The following paragraphs provide additional support for the claims of the subject application.
In an aspect, the present disclosure provides a Mini Electromyography (EMG) device comprising a customized 3D printed sensor mounting bracket, a fastener for attaching the customized 3D printed mounting bracket to enable attachment to body parts of a user, at least three EMG sensors integrated within the bracket, at least one user-actuated switch for controlling power supply to each of the EMG sensors to record the electrical parameter of muscle of the user, a multiplexer for combining multiple sensor inputs into a single data stream, a control unit that analyses the single data stream to detect muscle activation, recruitment patterns, and changes in neuronal firing patterns, and a display module operationally connected to the control unit for displaying the detected muscle activation, recruitment patterns, and changes in neuronal firing patterns. The control unit is further configured to calibrate the EMG sensors based on at least one from body part and demographic data of the user. The device also includes a power supply module comprising a rechargeable battery associated with overcharge protection unit to extend battery life, an input interface for sensitivity adjustments of each of the EMG sensors, an alert unit to alert the user when EMG readings are below a predefined threshold, and a reservoir in the mounting bracket to store gel, with a discharge unit to apply the gel at the EMG sensor surface in contact with the skin. Moreover, the multiplexer optimizes the signal-to-noise ratio of the combined inputs. The control unit transmits the detected muscle activation, recruitment patterns, and changes in neuronal firing patterns to an external computing device.

Field of the Invention

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:
FIG. 1 illustrates a block diagram of a Mini Electromyography (EMG) device (100), in accordance with the embodiments of the present disclosure.
FIG. 2 illustrates the electronic circuit layout integral to the functioning of the mini EMG device, in accordance with the embodiments of the present disclosure.
FIG. 3 illustrates the practical application of the mini EMG device, showing it attached to the bicep muscle of an arm, in accordance with the embodiments of the present disclosure.
FIG. 4 illustrates a graphical reading of the EMG data as it would appear on a screen, mobile phone, or laptop, in accordance with the embodiments of the present disclosure.
FIG. 5 illustrates an exemplary reading screen that likely accompanies the mini EMG device, in accordance with the embodiments of the present disclosure.
Fig. 6 illustrates an exemplary mini EMG device comprises three electrodes (to measure electrical properties of muscle), in accordance with embodiment of present disclosure.

Detailed Description
In the following detailed description of the invention, reference is made to the accompanying drawings that form a part hereof, and in which is shown, by way of illustration, specific embodiments in which the invention may be practiced. In the drawings, like numerals describe substantially similar components throughout the several views. These embodiments are described in sufficient detail to claim those skilled in the art to practice the invention. Other embodiments may be utilized and structural, logical, and electrical changes may be made without departing from the scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined only by the appended claims and equivalents thereof.
The use of the terms “a” and “an” and “the” and “at least one” and similar referents in the context of describing the invention (especially in the context of the following claims) are to be construed to cover both the singular and the plural, unless otherwise indicated herein or clearly contradicted by context. The use of the term “at least one” followed by a list of one or more items (for example, “at least one of A and B”) is to be construed to mean one item selected from the listed items (A or B) or any combination of two or more of the listed items (A and B), unless otherwise indicated herein or clearly contradicted by context. The terms “comprising,” “having,” “including,” and “containing” are to be construed as open-ended terms (i.e., meaning “including, but not limited to,”) unless otherwise noted. Recitation of ranges of values herein are merely intended to serve as a shorthand method of referring individually to each separate value falling within the range, unless otherwise indicated herein, and each separate value is incorporated into the specification as if it were individually recited herein. All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g., “such as”) provided herein, is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention unless otherwise claimed. No language in the specification should be construed as indicating any non-claimed element as essential to the practice of the invention.
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.
The term "Mini Electromyography (EMG) device" as used throughout the present disclosure relates to a compact, portable device designed to measure and analyze electrical activities produced by skeletal muscles. The Mini EMG device, encompasses a comprehensive system for non-invasive monitoring and analysis of muscle function in real-time.
The term "customized 3D printed sensor mounting bracket" as used throughout the present disclosure relates to a support structure designed specifically to hold EMG sensors. This bracket, is manufactured using 3D printing technology, allowing for customization to fit various body parts of different users snugly and comfortably.
The term "fastener" as used throughout the present disclosure relates to a component, used for securely attaching the customized 3D printed sensor mounting bracket to the body parts of a user. This fastener ensures that the bracket, and thus the sensors contained within, maintains optimal contact with the user's skin for accurate signal acquisition.
The term "EMG sensors" as used throughout the present disclosure relates to devices integrated within the bracket that are capable of detecting electrical signals generated by muscle fibers during contraction. At least three of these sensors, are incorporated to ensure comprehensive coverage and accurate monitoring of muscle activity.
The term "user-actuated switch" as used throughout the present disclosure refers to a mechanism, that allows the user to control the power supply to each of the EMG sensors. This switch enables the user to initiate or terminate the recording of electrical parameters of muscles as required.
The term "multiplexer" as used throughout the present disclosure denotes a device, responsible for combining inputs from multiple EMG sensors into a single data stream. This consolidation facilitates efficient processing and analysis of signals from various sensors simultaneously.
The term "control unit" as used throughout the present disclosure refers to a processing module, tasked with analyzing the single data stream produced by the multiplexer. The control unit detects muscle activation, recruitment patterns, and changes in neuronal firing patterns, offering insights into muscle function and health.
The term "display module" as used throughout the present disclosure describes a component, that is operationally connected to the control unit. The display module presents the results of the control unit's analysis, including muscle activation, recruitment patterns, and changes in neuronal firing patterns, allowing for immediate interpretation of the data by the user or healthcare professionals.
Optionally, the Mini EMG device can be equipped with additional features to enhance its functionality, such as wireless connectivity for data transmission, adjustable sensor sensitivity, and customizable alert thresholds for specific monitoring requirements.
In operation, the Mini EMG device provides a user-friendly, efficient means of monitoring muscle activity, suitable for use in clinical, sports science, and rehabilitation settings. By integrating advanced sensor technology, data processing capabilities, and user-centric design, the device offers significant advancements in the field of electromyography.
FIG. 1 illustrates a block diagram of a Mini Electromyography (EMG) device (100), in accordance with the embodiments of the present disclosure. Said device comprises a customized 3D printed sensor (102) mounting bracket, designed to conform to the contours of a user's body part. A fastener (104) is employed to secure the mounting bracket to said body part, ensuring stable attachment and reliable signal acquisition. Integrated within said bracket are at least three EMG sensors (106), each sensor making contact with the user's skin to detect electrical activity of the muscles. A user-actuated switch (108) is provided to control the power supply to each of the EMG sensors, enabling the recording of muscle electrical parameters. Said recording is facilitated by a multiplexer (110), which serves to combine inputs from multiple sensors into a singular data stream for processing. The control unit (112) analyses the consolidated data stream, detecting muscle activation, recruitment patterns, and changes in neuronal firing patterns. Additionally, a display module (114) is operationally connected to the control unit, allowing for the visual representation of the analyzed muscle activities. The display module assists users in monitoring the detected muscle functions, offering insights into the neuromuscular health of the individual. Each element is configured to function synergistically, ensuring that the Mini EMG device operates effectively as a comprehensive system for electromyographic analysis.
In an embodiment, the Mini Electromyography (EMG) device (100), includes a control unit (112), which is specially configured to calibrate the EMG sensors (106), marked as, based on at least one from: the body part where the device is attached and the demographic data of the user. This calibration functionality ensures that the device adjusts its sensitivity and parameters to accommodate different muscle types and user characteristics, enhancing the accuracy and relevance of the muscle activity data collected. By considering variables such as the thickness of skin and subcutaneous tissue, as well as muscle density that varies with age, gender, and physical condition, the control unit tailors the device’s operation for individualized precision. This personalized calibration is critical for applications ranging from clinical diagnostics to athletic performance monitoring, as it enables a more nuanced understanding of muscle function. The incorporation of demographic data further optimizes the device's functionality, accommodating a wider range of users by adapting to physiological differences that influence EMG signals.
In another embodiment, the Mini EMG device (100), comprises a power supply module that includes a rechargeable battery. This battery is associated with an overcharge protection unit to extend the battery life, ensuring that the device remains operational for extended periods without needing frequent recharging. The overcharge protection unit safeguards the battery against the potential damages caused by excessive charging, thus maintaining the battery's efficiency and longevity. This feature is particularly beneficial for users who rely on the device for continuous monitoring of muscle activity, such as individuals undergoing rehabilitation or athletes focused on performance optimization. By providing a reliable and durable power source, the Mini EMG device facilitates uninterrupted usage, enhancing the convenience and effectiveness of electromyographic monitoring.
In a further embodiment, the Mini EMG device (100), encompasses a control unit (112), designed to transmit the detected muscle activation, recruitment patterns, and changes in neuronal firing patterns to an external computing device. This capability enables the comprehensive analysis and storage of muscle activity data on devices with more substantial computing power and storage capacity, such as personal computers or cloud-based servers. The transmission of data not only facilitates detailed long-term monitoring and analysis but also allows for the sharing of information with healthcare providers or trainers. By leveraging external computing resources, users and professionals can access sophisticated analytical tools and collaborative platforms, enhancing the utility of the EMG data in clinical assessments, rehabilitation programs, and sports science research.
In an additional embodiment, the Mini EMG device (100), incorporates an input interface for adjusting the sensitivity of each of the EMG sensors (106). This feature permits users to modify the sensitivity settings of the sensors to match the specific requirements of different muscle groups or monitoring scenarios. By allowing for sensitivity adjustments, the device can be fine-tuned to detect subtle variations in muscle activity, catering to both high and low-intensity applications. Whether for capturing the delicate nuances of fine motor movements or the robust signals of vigorous muscle contractions, the adjustable sensitivity ensures that the device remains versatile and effective across a broad spectrum of electromyographic monitoring tasks.
In yet another embodiment, the Mini EMG device (100), features an alert unit designed to notify the user when the EMG readings fall below a predefined threshold. This alert mechanism serves as a critical feedback tool, indicating potential issues with sensor placement, muscle inactivity, or abnormal patterns of muscle activation. By promptly alerting the user to such conditions, the device aids in the immediate correction of sensor alignment or the investigation of underlying muscle health issues. This proactive alert system enhances the reliability of muscle activity monitoring, ensuring that users and healthcare providers are well-informed of the status and functioning of the monitored muscles, thereby contributing to more effective management and rehabilitation strategies.
In a further embodiment, the Mini EMG device (100), is equipped with a mounting bracket that includes a reservoir for storing gel, and a discharge unit to apply the stored gel at the surface of the EMG sensors (106), which come into contact with the skin. The presence of the gel enhances the conductivity between the sensors and the skin, improving the quality of the EMG signals captured. This feature is especially useful for ensuring consistent signal quality over extended periods of monitoring or in situations where sweat and movement might otherwise compromise the sensor-skin interface. By automating the gel application process, the device simplifies the preparation required for accurate EMG recording, making it more user-friendly and effective in various settings, from clinical assessments to athletic training.
In yet another embodiment, the Mini EMG device (100), includes a multiplexer (110), designed to optimize the signal-to-noise ratio of the combined inputs from the EMG sensors (106). This optimization is crucial for ensuring the clarity and accuracy of the electromyographic data collected. By enhancing the signal-to-noise ratio, the multiplexer improves the device's ability to distinguish between genuine muscle activity signals and background electrical noise, facilitating more precise and reliable muscle activity analysis. This feature is particularly beneficial in environments with high levels of electromagnetic interference or when monitoring subtle muscle activations, where signal clarity is paramount. The ability to optimize signal quality enhances the diagnostic and monitoring capabilities of the Mini EMG device, supporting its application in a wide range of medical, sports, and research contexts.
In an embodiment, the EMG device of present disclosure offers solutions to various technical problems within the domain of muscle function, movement dynamics, and rehabilitation. This compact, wireless device provides real-time monitoring and actionable insights which are invaluable in research, clinical practice, sports training, and everyday health monitoring. The device facilitates real-time muscle monitoring for clinicians/sport coach/athlete to observe muscle contractions, fatigue, and performance during physical activities. It is crucial in identifying muscle recruitment patterns, aiding in the optimization of exercise routines, sports techniques, and rehabilitation protocols to improve muscle strength, coordination, and endurance. Furthermore, the EMG device supports biofeedback training programs by providing feedback on muscle activity levels, aiding in the control and modulation of muscle contractions for rehabilitation, performance enhancement, and stress management. Further, the EMG device can be transomed as a wearable health monitor, continuously tracking muscle activity, posture, and movement patterns, providing insights into physical activity levels, gait abnormalities, and fall risks, particularly in older adults or individuals with mobility impairments. The Mini EMG system is used to assess muscle function, monitor progress, and guide personalized treatment plans. The EMG device also can be useful tool in sports performance analysis, enabling athletes to analyze muscle activation patterns, identify asymmetries, and optimize training techniques.
In another embodiment, the EMG device can be used for remote health monitoring, where muscle function and rehabilitation progress can be monitored remotely, enhancing telemedicine and remote healthcare applications. Thus, the EMG device of present disclosure provides multiple advantages as data can be transmitted to external computing device (e.g., laptop, smartphone) through wireless connectivity, via Bluetooth and Wi-Fi, eliminates the need for cables, enhancing user mobility. The real-time data streaming to smart devices facilitates immediate feedback. Furthermore, EMG device can be associated with user-friendly interfaces, such as touchscreen displays and mobile apps, make the device easy to use.
FIG. 2 illustrates the electronic circuit layout integral to the functioning of the mini EMG device, in accordance with the embodiments of the present disclosure. The layout illustrates a battery unit, specifically a polymer lithium-ion battery, that powers the system. A battery charging unit enables that the device maintains adequate power levels. The microcontroller-based board that processes the signals received from the EMG sensor. The microcontroller is connected with a power and internet LED, indicating the device's operational status and connectivity, and a data transfer indicator, which shows when the device is actively transmitting data. The EMG sensor is connected to this board, which is the primary transducer for detecting electrical activity within muscles.
FIG. 3 illustrates the practical application of the mini EMG device, showing it attached to the bicep muscle of an arm, in accordance with the embodiments of the present disclosure. This placement is essential for the device to accurately capture the electrical signals generated by muscle fibers during contraction and relaxation. The sensor adheres to the skin, detecting the electromyographic signals that are then processed by the device.
FIG. 4 illustrates a graphical reading of the EMG data as it would appear on a screen, mobile phone, or laptop, in accordance with the embodiments of the present disclosure. The graph exhibits a continuous, fluctuating signal representative of muscle activity, with the amplitude and frequency of these fluctuations providing information about muscular performance and condition. Accompanying the graph is an amplitude histogram that aggregates the signal intensity over a period, and metrics such as peak-to-peak amplitude, mean rectified voltage, RMS voltage, and turns per second provide quantitative analysis of the muscle's electrical activity.
FIG. 5 illustrates an exemplary reading screen that likely accompanies the mini EMG device, in accordance with the embodiments of the present disclosure. It includes a display for visualizing the data in real-time, a power switch, and a button for user interaction. The simple interface facilitates the user's ability to operate the device and monitor the readings directly, suggesting that the device is designed for ease of use and accessibility for both professional and personal monitoring of muscle activity.
Fig. 6 illustrates an exemplary mini EMG device comprises three electrodes (to measure electrical properties of muscle), in accordance with embodiment of present disclosure. The images depict an exemplary embodiment of a mini electromyography (EMG) device equipped with three electrodes for measuring the electrical properties of muscles. The compact device houses a rechargeable battery, enhancing its portability and ease of use in various settings. The electrodes are strategically positioned on the device's surface to facilitate optimal contact with the skin, thereby ensuring accurate recordings of muscle activity. The integration of a rechargeable battery within the mini EMG device negates the need for constant replacements, providing an economical and environmentally friendly solution. Its small form factor is tailored for user convenience, allowing for the device to be used discreetly and with minimal setup.
Example embodiments herein have been described above with reference to block diagrams and flowchart illustrations of methods and apparatuses. It will be understood that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, respectively, can be implemented by various means including hardware, software, firmware, and a combination thereof. For example, in one embodiment, each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations can be implemented by computer program instructions. These computer program instructions may be loaded onto a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions which execute on the computer or other programmable data processing apparatus create means for implementing the functions specified in the flowchart block or blocks.
Throughout the present disclosure, the term ‘processing means’ or ‘microprocessor’ or ‘processor’ or ‘processors’ includes, but is not limited to, a general purpose processor (such as, for example, a complex instruction set computing (CISC) microprocessor, a reduced instruction set computing (RISC) microprocessor, a very long instruction word (VLIW) microprocessor, a microprocessor implementing other types of instruction sets, or a microprocessor implementing a combination of types of instruction sets) or a specialized processor (such as, for example, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), or a network processor).
The term “non-transitory storage device” or “storage” or “memory,” as used herein relates to a random access memory, read only memory and variants thereof, in which a computer can store data or software for any duration.
Operations in accordance with a variety of aspects of the disclosure is described above would not have to be performed in the precise order described. Rather, various steps can be handled in reverse order or simultaneously or not at all.
While several implementations have been described and illustrated herein, a variety of other means and/or structures for performing the function and/or obtaining the results and/or one or more of the advantages described herein may be utilized, and each of such variations and/or modifications is deemed to be within the scope of the implementations described herein. More generally, all parameters, dimensions, materials, and configurations described herein are meant to be exemplary and that the actual parameters, dimensions, materials, and/or configurations will depend upon the specific application or applications for which the teachings is/are used. Those skilled in the art will recognize, or be able to ascertain using no more than routine experimentation, many equivalents to the specific implementations described herein. It is, therefore, to be understood that the foregoing implementations are presented by way of example only and that, within the scope of the appended claims and equivalents thereto, implementations may be practiced otherwise than as specifically described and claimed. Implementations of the present disclosure are directed to each individual feature, system, article, material, kit, and/or method described herein. In addition, any combination of two or more such features, systems, articles, materials, kits, and/or methods, if such features, systems, articles, materials, kits, and/or methods are not mutually inconsistent, is included within the scope of the present disclosure.

Claims

I/We Claims

A Mini Electromyography (EMG) device (100) comprising:
a customized 3D printed sensor (102) mounting bracket;
a fastener (104) for attaching the customized 3D printed mounting bracket to enable attachment to a body parts of a user.
at least three EMG sensors (106) integrated within said bracket, wherein the each EMG sensor contacts a skin of the user;
at least one user-actuated switch (108) for controlling power supply to the each of the EMG sensor to record the electrical parameter of muscle of the user;
a multiplexer (110) for combining multiple sensor inputs into a single data stream;
a control unit (112) analyses the single data stream to detect muscle activation, recruitment patterns, and changes in neuronal firing patterns; and
a display module (114) operationally connected to said control unit (112) for displaying the detected muscle activation, recruitment patterns, and changes in neuronal firing patterns.
The Mini EMG device (100) of claim 1, wherein control unit (112) is configured to calibrate the EMG sensors (106) based on a at lest one from: body part and demographic data of user.
The Mini EMG device (100) of claim 1, comprising a power supply module comprising a rechargeable battery associated with overcharge protection unit to extend battery life.
The Mini EMG device (100) of claim 1, wherein control unit (112) transmits the detected muscle activation, recruitment patterns, and changes in neuronal firing patterns to an exeternal computing device.
The Mini EMG device (100) of claim 1, comprises an input interface for sensitivity adjustments of each of EMG sensors.
The Mini EMG device (100) of claim 1, comprising an alert unit to alert the user when EMG readings are below a predefined threshold.
The Mini EMG device (100) of claim 1, wherein the mounting bracket comprising a reservoir to store a gel, and discharge unit to discharge the stored gel at EMG sensor surface, which come in contact with skin.
The Mini EMG device (100) of claim 1, wherein the multiplexer (110) optimizes a signal-to-noise ratio of the combined inputs.

PORTABLE MINI ELECTROMYOGRAPHY DEVICE FOR MUSCLE ACTIVITY ANALYSIS

Disclosed is a Mini Electromyography (EMG) device comprising a customized 3D printed sensor mounting bracket; a fastener for attaching the customized 3D printed mounting bracket to enable attachment to body parts of a user; at least three EMG sensors integrated within the bracket, wherein each EMG sensor contacts skin of the user; at least one user-actuated switch for controlling power supply to each of the EMG sensors to record the electrical parameter of muscle of the user; a multiplexer for combining multiple sensor inputs into a single data stream; a control unit that analyses the single data stream to detect muscle activation, recruitment patterns, and changes in neuronal firing patterns; and a display module operationally connected to the control unit for displaying the detected muscle activation, recruitment patterns, and changes in neuronal firing patterns.

, Claims:I/We Claims

A Mini Electromyography (EMG) device (100) comprising:
a customized 3D printed sensor (102) mounting bracket;
a fastener (104) for attaching the customized 3D printed mounting bracket to enable attachment to a body parts of a user.
at least three EMG sensors (106) integrated within said bracket, wherein the each EMG sensor contacts a skin of the user;
at least one user-actuated switch (108) for controlling power supply to the each of the EMG sensor to record the electrical parameter of muscle of the user;
a multiplexer (110) for combining multiple sensor inputs into a single data stream;
a control unit (112) analyses the single data stream to detect muscle activation, recruitment patterns, and changes in neuronal firing patterns; and
a display module (114) operationally connected to said control unit (112) for displaying the detected muscle activation, recruitment patterns, and changes in neuronal firing patterns.
The Mini EMG device (100) of claim 1, wherein control unit (112) is configured to calibrate the EMG sensors (106) based on a at lest one from: body part and demographic data of user.
The Mini EMG device (100) of claim 1, comprising a power supply module comprising a rechargeable battery associated with overcharge protection unit to extend battery life.
The Mini EMG device (100) of claim 1, wherein control unit (112) transmits the detected muscle activation, recruitment patterns, and changes in neuronal firing patterns to an exeternal computing device.
The Mini EMG device (100) of claim 1, comprises an input interface for sensitivity adjustments of each of EMG sensors.
The Mini EMG device (100) of claim 1, comprising an alert unit to alert the user when EMG readings are below a predefined threshold.
The Mini EMG device (100) of claim 1, wherein the mounting bracket comprising a reservoir to store a gel, and discharge unit to discharge the stored gel at EMG sensor surface, which come in contact with skin.
The Mini EMG device (100) of claim 1, wherein the multiplexer (110) optimizes a signal-to-noise ratio of the combined inputs.

PORTABLE MINI ELECTROMYOGRAPHY DEVICE FOR MUSCLE ACTIVITY ANALYSIS