Wireless bioelectric monitoring device

Abstract

Methods and systems described herein may comprise a rigid bioelectric patch comprising one or more electrodes disposed on the outside of the rigid bioelectric patch and configured to allow conduction of an electroencephalogram (EEG) signal; and a signal processing unit configured to receive the EEG signal and determine user's medical information. Further comprising a hydrogel configured to be fixed to a user's forehead and conduct the EEG signal to the one or more electrodes, wherein the hydrogel is an adhesive of.01 N / cm − 1,000 N / cm for peel strength and a conductive material of.0001-9:1020 S / m.

Description

Attorney Docket No. 1910-00602Wireless Bioelectric Monitoring DeviceBACKGROUND

[0001] Current sleep monitoring technologies and studies, particularly Polysomnography (PSG), remain the gold standard for diagnosing sleep disorders, yet they come with substantial technical and practical shortcomings that hinder their effectiveness. While PSG is capable of providing detailed, multi-channel data on brain activity, eye movement, muscle tone, heart rate, and respiration, the process is far from seamless. Preparing the user for monitoring, including attaching multiple electrodes to the scalp, face, chest, and legs takes an average of 1.5 hours. This lengthy setup can significantly disrupt the user's sleep cycle even before the monitoring begins. The presence of cumbersome wires and sensors can further prevent the user from achieving a natural sleep state, which directly affects the accuracy of the results.

[0002] Moreover, PSG technology is confined to clinical environments due to the need for specialized equipment, which exacerbates the problem. Sleep laboratories are often booked months in advance due to limited bed availability, significantly delaying diagnosis and treatment for users. This long latency period between symptom onset and diagnosis can lead to worsened sleep conditions and a decline in the user’s overall health.

[0003] Another major limitation is the reliance on manual interpretation of the data, which is both labor-intensive and time-consuming. Each night of data requires roughly two hours of a professional's time to analyze. Given the rising incidence of sleep disorders, this method is inefficient and strains healthcare resources.

[0004] Perhaps most concerning is that PSG systems are largely unsuitable for home-based or ambulatory use, a critical flaw in today’s era of telemedicine and user-centric care. The inability to monitor users in their natural sleep environments diminishes the validity of the data collected, as hospital-induced stress or discomfort can skew results. Home monitoring is becoming increasingly important, as real -world data is often more reflective of a user’s true sleep patterns. Without portable, user-friendly solutions, current PSG systems and devices fail to meet the growing demand for continuous, real-time, and at-home monitoring.

[0005] In summary, while PSG remains a cornerstone of sleep disorder diagnosis, it is encumbered by its complex setup, hospital-based limitations, time-consuming data interpretation, and lack of adaptability for home monitoring. These limitations highlight the urgent need for more advanced,Attorney Docket No. 1910-00602efficient, and user-friendly sleep monitoring technologies that can keep pace with the growing demand for accurate and accessible diagnostics.BRIEF DESCRIPTION OF DRAWINGS

[0006] These drawings illustrate certain aspects of some examples of the present disclosure and should not be used to limit the disclosure.

[0007] Figure 1 illustrates current methods for acquiring biometric sleeping data;

[0008] Figure 2A illustrates an example of rigid bioelectric electrode patch;

[0009] Figure 2B illustrates a layered overview of rigid bioelectric electrode patch;

[0010] Figure 3 A illustrates another example of rigid bioelectric electrode patch with one hole for multiple electrodes;

[0011] Figure 3B illustrates a layered overview of rigid bioelectric electrode patch with one hole;

[0012] Figure 4A illustrates rigid bioelectric electrode patch with removable electrodes;

[0013] Figure 4B illustrates a layered overview of rigid bioelectric electrode patch with removable electrodes;

[0014] Figure 4C illustrates an overview of removable electrode with installed hydrogel; and

[0015] Figure 5 illustrates a processing scheme.DETAILED DESCRIPTION

[0016] Methods and systems herein may utilize a rigid bioelectric electrode patch, detachable housing, and a signal processing unit located within the detachable housing. The rigid bioelectric electrode patch may be equipped with a first connector part that enables mechanical and electrical connection with the signal processing unit. Applying this set up for monitoring a user may be less than a minute and serves very little to no disruption to sleep cycles. In addition, there is little to no user discomfort. The user may feel little to no discomfort and trouble sleeping because the rigid bioelectric electrode patch may be applied for in-home use and acquire at least the same measurements and more as traditional PSG techniques. Moreover, there may be additional beneficial determination of user data from the acquired measurements. The detachable housing may comprise an opening for exposing a second connector part of the signal processing unit.

[0017] The signal processing unit may achieve mechanical and electrical connection with the rigid bioelectric electrode patch through the cooperation of the first and second connector parts. The signal processing unit may be disposed on a signal acquisition circuit board which may compriseAttorney Docket No. 1910-00602an inertial detection module and an electromyography processing module. The processing may occur in real-time and provide users with instant results. This also decreases a user’s time to be diagnosed. In addition, the processing may comprise algorithms for automatized data interpretation. As such, costs are reduced because resources do not have to be allocated for manually interpreting data. Further, real-time biometric data may be acquired in a more convenient and comfortable example. As such, systems and methods herein enable bioelectric and inertial detection of users and significantly reduces size, providing a comfortable in-home wearing experience which applies state of the real-time automated data processing.

[0018] This improves the effectiveness of sleep monitoring by allowing for simpler device and less complex measurement capabilities. In addition, in home sleep monitoring may be realized. Further applications may comprise monitoring and controlling Bluetooth capable technologies, such as smart phones, sound systems, air conditioning and heating systems, smell enhancement systems, lighting systems, computers, interface with artificial intelligent platforms, internet of things (loT) systems comprising at least pillow, mattress, aromatherapy device, light, air conditioning, and / or any other electronic or loT device. Additional applications may comprise assistance in the diagnosis and treatment of neural diseases comprising depression, Alzheimer’s, Dementia, and / or the like.

[0019] Figure 1 illustrates current methods for acquiring biometric sleeping data of user 100. Air flow sensors 102 may be utilized at the nose to measure air flow. However, these sensors are relatively invasive and inhibit user 100 ability to sleep. In addition, electrodes 104 may be utilized to measure eye and brain movement. For example, electroencephalogram (EEG) signals from the scalp or other region, and then the signal processing unit and / or signal acquisition circuit board completes the analog-to-digital conversion for further data processing, to be discussed further below. Scalp EEG signals may comprise and kind of signals of brain activity comprising body movements, locational brain activity, extent of brain activity, parameters of sleep quality and determination, and / or the like.

[0020] As illustrated, electrodes 104 must be placed in precise and / or several locations along the head of the user. These may be uncomfortable for user 100 and hinder sleep. They also require a trained professional’s expertise to properly implement. This can be time consuming to implement because the cables running from the user to computer 106 may be heavy and become tangled. This can be difficult and time consuming, hurting the overall process of recording user 100 sleep. ThisAttorney Docket No. 1910-00602is merely one example. In addition, data used within the computer of cables running from the user to computer 106 may be processed manually and / or controlled in some way to another trained professional. Housing information in an onsite location may cause logistical constraints. Wireless techniques, easy to use implementations, electrodes 104 patches as patches, and / or light technology are all utilized herein and not previously before. These examples greatly reduce the cost and resources required for each user. A more sophisticated and smaller design may be beneficial.

[0021] Figure 2A illustrates an example of rigid bioelectric electrode patch 200. Electrodes 202 may be disposed on the bottom of the outer surface of rigid bioelectric electrode patch 200. Herein, an electroencephalogram (EEG) signal may be described as an electrical signal or current. In examples, EEG signals may come from a user or user to electrodes 202. In operation and monitoring of user 100 (e.g., referring to Figure 1) hydrogel 204 and substrate 208 may be fixed into place along the bottom outer surface of rigid bioelectric electrode patch 200. Hydrogel 204 may be a highly conductive material. In examples, hydrogel 204 may be an adhesive of .01 N / cm - 1,000 N / cm for peel strength and conductive material of .0001-9: IO20S / m, configured to be directly attached and fixed to the forehead of user 100. Substrate 208 may be formed of any insulative and / or strong rigid material. It may comprise tape on both outer surfaces so it may be fixed in place onto rigid bioelectric electrode patch 200 on one end and allow hydrogel 204 to be fixed in place at the other end.

[0022] The double sided tape properties enable both hydrogel 204 and substrate 208 to be removed from rigid bioelectric electrode patch 200. As such, substrate 208 may insulate electrical signals along or current along hydrogel 204 from rigid bioelectric electrode patch 200. However, holes 206 of substrate 208 may allow for electrodes 202 to be in direct contact or at least conductivity between with hydrogel 204. Electrodes 202 may have a pin type, pogo pin, or any other electrical or wireless connection to a processing unit disposed within rigid bioelectric electrode patch 200.

[0023] Figure 2B illustrates a layered overview of rigid bioelectric electrode patch 200. Figures 2A and 2B illustrate an example with three holes 206 for three electrodes 202. In other examples, any number of holes 206 with the same number of electrodes 202 for rigid bioelectric electrode patch 200 may also be possible. In addition, multiple electrodes 202, may also share one or multiple holes 206.Attorney Docket No. 1910-00602

[0024] Figure 3 A illustrates another example of rigid bioelectric electrode patch 200 with one hole 206 for multiple electrodes 202. The same material properties may be held consistent such that substrate 208 may insulate electrical signals or current from rigid bioelectric electrode patch 200. However, the single hole 206 of substrate 208 may allow for all electrodes 202 to be in direct contact with hydrogel 204. Figure 3A illustrates three electrodes 202, however, any number of electrodes may be utilized along the back outer surface of bioelectric electrode patch 200.

[0025] Figure 3B illustrates a layered overview of rigid bioelectric electrode patch 200 with one hole. Figures 2A, 2B, 3A, and 3B all illustrate examples of applying rigid bioelectric electrode patch 200 with installed electrodes 202 in direct contact with hydrogel 204 through various schemes of holes 206 in substrate 208. However, these electrodes 202 may be permanently installed within rigid bioelectric electrode patch 200. They may not be removed and must be cleaned between different users 100. As discussed above, only substrate 208 and hydrogel 204 may be removed from rigid bioelectric electrode patch 200. In other examples, electrodes 202 may be utilized which may be removed from rigid bioelectric electrode patch 200.

[0026] Figure 4A illustrates rigid bioelectric electrode patch 200 with removable electrodes 202. Electrodes 202 may comprise an output pin 402 which may both transmit electrical signals to rigid bioelectric electrode patch 200 via input port 404 (discussed below) and be configured to attach directly to input port 404. The connection between input port 404 and output pin 402 may be both electrical and physical. For example, the connection may allow for direct electrical communication of electrical signals and current from electrode 202 and physically fastened to rigid bioelectric electrode patch 200 such that it may not physically move away from and out of input port 404. In examples, output port 404 (not illustrated) may be slid on rails vertically and / or horizontally or otherwise rearranged along rigid bioelectric electrode patch 200 to allow for different locations of electrodes 202. Thus, the positioning of the electrodes may be arranged to multiple configurations along a user’s forehead.

[0027] The physical connection between input port 404 and output pin 402 may be popped in and out with relative ease. Users such as medical professionals, or even at home users may easily install and remove electrodes 202 to and from rigid bioelectric electrode patch 200. In addition, electrodes 202 may comprise a hydrogel 204 material along its outer surface, opposite of output pin 402. Hydrogel material 204 may be placed directly in contact with user 100. As such, rigid bioelectric electrode patch 200 may be in direct contact with a hydrogel 204, however, unlike Figures 2A-3B,Attorney Docket No. 1910-00602electrodes 202 are removable, thus reducing the need to clean them as they can be replaced between users. Once received at input port 404, EEG signals may be measured from the input port 404 into a signal processing unit 406 (not illustrated) disposed within rigid bioelectric electrode patch 200.

[0028] Figure 4B illustrates a layered overview of rigid bioelectric electrode patch 200 with removable electrodes 202. Figure 4C illustrates an overview of removable electrode 202 with installed hydrogel 204. As illustrated, between output pin 402 and hydrogel 204, there may be a disk of substrate 208 with an inner radius indicated by the dotted line and an outer radius of the solid line. This prevents electrical signals from outside substrate 208 from reaching output pin 402 and only signals inside the disk of substate 208 may reach output pin 402.

[0029] In examples, methods and systems described herein may comprise a rigid bioelectric patch comprising one or more electrodes disposed on the outside of the rigid bioelectric patch and configured to allow conduction of an electroencephalogram (EEG) signal; and a signal processing unit configured to receive the EEG signal and determine user’s medical information. Further comprising a hydrogel configured to be fixed to a user’s forehead and conduct the EEG signal to the one or more electrodes, wherein the hydrogel is an adhesive of .01 N / cm - 1,000 N / cm for peel strength and a conductive material of .0001-9: IO20S / m. Further comprising a substrate between the one or more electrodes and the hydrogel, wherein the substrate is an insulator and prevents conduction of EEG signals between the hydrogel and electrodes. Further comprising one hole in the substrate for two or more electrodes, wherein the hole allows for direct contact or conduction of EEG signals between two or more electrodes and hydrogel. Further comprising one hole in the substrate for one electrode, wherein the hole allows for direct contact or conduction of EEG signals between the electrode and hydrogel. Further comprising an input port disposed on the outer surface of rigid bioelectric electrode patch and configured to allow EEG measurements or conduction of EEG signals by the or to the signal processing unit, wherein the input port may be moved horizontally or vertically along the rigid bioelectric electrode patch and, wherein the electrodes comprise input pins configured to allow conduction of EEG signals, and wherein the output pin connects into the input port to allow conduction of EEG signals to the signal processing unit and, wherein a hydrogel is disposed on the opposite side of the of the electrode as the input pin, and wherein the hydrogel is an adhesive of .01 N / cm - 1,000 N / cm for peel strength and a conductive material of .0001-9: IO20S / m.Attorney Docket No. 1910-00602

[0030] Figure 5 illustrates processing scheme 500 performed on signal processing unit 406 (not illustrated) and / or signal processing circuit board. In examples, raw data may be converted to a digital signal within signal processing unit 406 (not illustrated) disposed within rigid bioelectric electrode patch 200. In examples, the digital signal may be transmitted via communication lines 530 and / or 532 to adaptive processor 502 and application on personal device 510, respectively. In examples, communication lines 530 and 532 may be any wired or wireless communication. Adaptive processor 502 may be disposed on signal processing circuit board and configured to be communicatively coupled to with signal processing unit 406 (not illustrated). Wireless communications may comprise Bluetooth, Radio Frequency Identification (RFID), any networking data transfer, and / or the like. Further, non-digitized raw data and / or digitized signals may be communicated to adaptive processor 502 and / or application on personal device 510 via communication lines 530 and 532. Once received at adaptive processor 502,

[0031] Adaptive processor 502 may be disposed on signal processing circuit board and disposed on a signal acquisition circuit board comprise control unit 504, arithmetic logic unit (ALU) 506, and register 508. In examples, adaptive processor is a physical processor or a cloud-based processor with one or more locations. Control unit 504 may acquire algorithms to use for processing. In examples, algorithms may comprise machine learning and classification algorithms. Machine learning and classification algorithms may receive user’s EEG and IMU measurements in the form of non-digitized raw data and / or digitized signals may be used to produce a sleep report. EEG signals may be obtained via conduction of EEG signals from the electrodes and measured with signal processing unit 406 (not illustrated) and IMU measurements may be obtained by standard measuring operations with IMU sensors disposed such as inertial detection module on the signal processing circuit board and / or the signal processing unit 406 (not illustrated?. In examples, feature recognition and classification based on American Academy of Sleep Medicine (AASM) and create some indexes. EEG and IMU combined may yield unique indices, such as Brain Recovery Index, Sleep Demand Dispersal Index, Sleep Memory Consolidation Index, Sleep Immersion Index, Sleep Stability Index etc. All these indices may be defined. In examples, an algorithm may be executed on the data after the screen splitting of SI to obtain a sleep stage prediction for each screen, and four staging parameters, namely, waking time, light sleep time (N1 stage + N2 stage), deep sleep time and rapid eye movement sleep time, are further calculated. The algorithm model may be a deep neural network model obtained through a certain amount of labeledAttorney Docket No. 1910-00602data training. Labeled training data may be pre-defined and / or previously processed data or it may be synthetic modeled data. In other examples, initially EEG and IMU data may be stored on an application on personal device 510 in any format. Upon clicking the report generation button, the data files may be uploaded to multi component networking server or a local server. Subsequently, cloud-based and / or local algorithms may compute the results. The results may then be returned to application on personal device 510 to generate a comprehensive sleep report, to be discussed below.

[0032] In examples, an algorithm may be based on a single-channel sleep staging algorithm. Where each stage is divided through the course of one or more sleeping cycle into different time periods. The EEG signal is input into a lightweight Convolutional neural network (CNN)- Long short-term memory (LSTM) model for sleep scoring, where CNN may be used for representation learning and LSTM for sequence learning. A CNN is a deep learning model designed for processing structured grid data like images, where it automatically detects patterns and features through layers of convolution and pooling. It excels at tasks like image classification, object detection, and facial recognition by learning spatial hierarchies. An LSTM is a type of recurrent neural network (RNN) designed to capture long-range dependencies in sequential data by using gates to regulate the flow of information. It excels at tasks like time series prediction and natural language processing by maintaining context over long sequences.

[0033] The LSTM may score each stage based on the quality, length, and any other EEG or IMU measurements. By measuring and analyzing signal quality, body position, and IMU-based sleep staging, the EEG sleep staging may be optimized while each stage is computed. Then, the aggregate of each stage may form the whole sleep report. The sleep report may be generated over the course of one night or multiple nights. The sleep report may convey a pattern unique for every user 100 (e g., referring to Figure 1).

[0034] The outputs of algorithms and indices may be sent to application on personal device 510 via communication line 534. In addition, user inputs from application on personal device 510 may be received via communication 536. Examples of inputs may be requests for more detailed breakdowns of specific times in the night of a sleep report, tracking breathing heart rates in different periods, and / or the like. User inputs may prompt / initiate control unit 504 to alter algorithms or apply new recognition and classification algorithms.Attorney Docket No. 1910-00602

[0035] ALU 506 may operate the algorithms described above. Register 508 may store EEG and IMU measurements in the form of non-digitized raw data and / or digitized signals and / or outputs of the algorithms described above. As discussed above, application on personal device 510 may receive EEG and IMU measurements in the form of non-digitized raw data and / or digitized signals via communication lines 532. In examples, application on personal device 510 may perform the same functions as control unit 504, arithmetic logic unit (ALU) 506, and register 508 in addition to user inputs as discussed above. Further, application on personal device 510 may provide an interface. An interface may allow users to access and interact with outputs from the algorithms discussed above. The interface of application on personal device 510 may be designed for any form of a computer, desktop, laptop, tablet, smartphone, or any other electronic device. In examples, application on personal device 510 may be accessed by health care providers and / or users. Methods and systems described above may be utilized to acquire EEG and IMU measurements on signal processing unit 406 (not illustrated) and / or signal processing circuit board, and determine user’s medical information from brain activity. This may comprise neurological issues like epilepsy, seizures, strokes, brain tumors, dementia, sleep disorders, and effects of head injuries by spotting abnormal bursts, slowing, unusual rhythms, and / or any other user information from brain activity. In addition, medical information may comprise any information from a user’s body which may be measured by EEG and / or IMU.

[0036] As it is impracticable to disclose every conceivable embodiment of the technology described herein, the figures, examples, and description provided herein disclose only a limited number of potential embodiments. A person of ordinary skill in the art would appreciate that any number of potential variations or modifications may be made to the explicitly disclosed embodiments, and that such alternative embodiments remain within the scope of the broader technology. Accordingly, the scope should be limited only by the attached claims. Further, the compositions and methods are described in terms of "comprising," "containing," or "including" various components or steps, the compositions and methods may also "consist essentially of' or "consist of' the various components and steps. Moreover, the indefinite articles "a" or "an," as used in the claims, are defined herein to mean one or more than one of the elements that it introduces. Certain technical details, known to people of ordinary skill in the art, may be omitted for brevity and to avoid cluttering the description of the novel aspects.Attorney Docket No. 1910-00602

[0037] For further brevity, descriptions of similarly named components may be omitted if a description of that similarly named component exists elsewhere in the application. Accordingly, any component described with respect to a specific figure may be equivalent to one or more similarly named components shown or described in any other figure, and each component incorporates the description of every similarly named component provided in the application (unless explicitly noted otherwise). A description of any component is to be interpreted as an optional embodiment — which may be implemented in addition to, in conjunction with, or in place of an embodiment of a similarly-named component described for any other figure.

[0038] As used herein, adjective ordinal numbers (e.g., first, second, third, etc.) are used to distinguish between elements and do not create any particular ordering of the elements. As an example, a "first element" is distinct from a "second element", but the "first element" may come after (or before) the "second element" in an ordering of elements. Accordingly, an order of elements exists only if ordered terminology is expressly provided (e.g., "before", "between", "after", etc.) or a type of "order" is expressly provided (e.g., "chronological", "alphabetical", "by size", etc.). Further, use of ordinal numbers does not preclude the existence of other elements. As an example, a "table with a first leg and a second leg" is any table with two or more legs (e.g., two legs, five legs, thirteen legs, etc.). A maximum quantity of elements exists only if express language is used to limit the upper bound (e.g., "two or fewer", "exactly five", "nine to twenty", etc.). Similarly, singular use of an ordinal number does not imply the existence of another element. As an example, a "first threshold" may be the only threshold and therefore does not necessitate the existence of a "second threshold".

[0039] As used herein, the word "data" may be used as an "uncountable" singular noun — not as the plural form of the singular noun "datum". Accordingly, throughout the application, "data" is generally paired with a singular verb (e.g., "the data is modified"). However, "data" is not redefined to mean a single bit of digital information. Rather, as used herein, "data" means any one or more bit(s) of digital information that are grouped together (physically or logically). Further, "data" may be used as a plural noun if context provides the existence of multiple "data" (e.g., "the two data are combined").

[0040] As used herein, the term "operative connection" (or "operatively connected") means the direct or indirect connection between devices that allows for interaction in some way (e.g., via the exchange of information). For example, the phrase 'operatively connected' may refer to a directAttorney Docket No. 1910-00602connection (e.g., a direct wired or wireless connection between devices) or an indirect connection (e.g., multiple wired and / or wireless connections between any number of other devices connecting the operatively connected devices).

[0041] As used herein, indefinite articles "a" and "an" mean "one or more". That is, the explicit recitation of "an" element does not preclude the existence of a second element, a third element, etc. Further, definite articles (e.g., "the", "said") mean "any one of (the "one or more" elements) when referring to previously introduced element(s). As an example, there may exist "a processor", where such a recitation does not preclude the existence of any number of other processors. Further, "the processor receives data, and the processor processes data" means "any one of the one or more processors receives data" and "any one of the one or more processors processes data". It is not required that the same processor both (i) receive data and (ii) process data. Rather, each of the steps ("receive" and "process") may be performed by different processors.

Claims

Attorney Docket No. 1910-00602CLAIMSWhat is claimed is:

1. A system comprising:a rigid bioelectric patch comprising one or more electrodes disposed on the outside of the rigid bioelectric patch and configured to allow conduction of an electroencephalogram (EEG) signal; anda signal processing unit configured to receive the EEG signal and determine user’s medical information.

2. The system of claim 1, further comprising a hydrogel configured to be fixed to a user’ s forehead and conduct the EEG signal to the one or more electrodes.

3. The system of claim 2, wherein the hydrogel is an adhesive of .01 N / cm - 1,000 N / cm for peel strength and a conductive material of .0001-9: IO20S / m.

4. The system of claim 2, further comprising a substrate between the one or more electrodes and the hydrogel.

5. The system of claim 4, wherein the substrate is an insulator and prevents conduction of EEG signals between the hydrogel and electrodes.

6. The system of claim 5, further comprising one hole in the substrate for two or more electrodes, wherein the hole allows for direct contact or conduction of EEG signals between two or more electrodes and hydrogel.

7. The system of claim 5, further comprising one hole in the substrate for one electrode, wherein the hole allows for direct contact or conduction of EEG signals between the electrode and hydrogel.

8. The system of claim 1, further comprising an input port disposed on the outer surface of rigid bioelectric electrode patch and configured to allow EEG measurements or conduction of EEG signals by the or to the signal processing unit.Attorney Docket No. 1910-006029. The system of claim 8, wherein the input port may be moved horizontally or vertically along the rigid bioelectric electrode patch.

10. The system of claim 8, wherein the electrodes comprise input pins configured to allow conduction of EEG signals.

11. The system of claim 10, wherein the output pin connects into the input port to allow conduction of EEG signals to the signal processing unit.

12. The system of claim 11, wherein a hydrogel is disposed on the opposite side of the of the electrode as the input pin.

13. The system of claim 12, wherein the hydrogel is an adhesive of .01 N / cm - 1,000 N / cm for peel strength and a conductive material of .0001-9: IO20S / m.

14. A method comprising:allowing conduction of an electroencephalogram (EEG) signal via one or more electrodes disposed on the outside of a rigid bioelectric patch; anda signal processing unit configured to receive the EEG signal and determine user’s medical information.

15. The method of claim 14, wherein an input port is disposed on the outer surface of the rigid bioelectric electrode patch and configured to allow EEG measurements or conduction of EEG signals by the or to the signal processing unit.

16. The method of claim 15, wherein the input port may be moved horizontally or vertically along the rigid bioelectric electrode patch.

17. The system of claim 16, wherein the electrodes comprise input pins configured to allow conduction of EEG signals.Attorney Docket No. 1910-0060218. The method of claim 17, wherein the output pin connects into the input port to allow conduction of EEG signals to the signal processing unit.

19. The method of claim 18, wherein a hydrogel is disposed on the opposite side of the of the electrode as the input pin.

20. The method of claim 19, wherein the hydrogel is an adhesive of .01 N / cm - 1,000 N / cm for peel strength and a conductive material of .0001-9: IO20S / m.

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