A pressure sensing device including an elongate housing configured to be at least partially inserted into a user, and that defines an external surface having a proximal end and a distal end defining a longitudinal axis therebetween. The device includes a first pressure sensor, configured to sense pressure applied to a first portion of the external surface and to convert the sensed pressure to first pressure data, and a second pressure sensor, configured to sense pressure applied to a second portion of the external surface and to convert the sensed pressure to second pressure data. Sensor is spaced, along the longitudinal axis, toward the distal end from sensor.

The method and system for monitoring cough comprises receiving audio signals or audio recordings, where said signals or audio recordings comprises one or more of silent segments, cough sound segments, speech segments and extraneous noise. The processing of said received sound signals or sound recordings comprise one or more of removing one or more speech components from speech segments to render the speech unintelligible and clipping said silent segments, wherein one or more speech components include vowel sounds. Further processing of said received audio signals or audio recordings further comprises compressing said audio signals or audio recordings. In the alternative, processing of audio signals or audio recordings comprises compressing a resultant signal after said removal of one or more speech components and/or clipping of silent segments from said audio signals.

The present disclosure presents glucose sensing methods and systems. One such system comprises an electrospun-nanofibrous-membrane (ENFM)-based amperometric glucose sensor integrated on a silicon chip, in which the glucose sensor has a working electrode, a reference electrode, and a counter electrode, wherein the working electrode comprises an ENFM-based sensing electrode. The system further comprises a potentiostat circuit integrated on the silicon chip such that the potentiostat circuit comprises a voltage control unit to control a voltage difference between the working electrode and the reference electrode and a transimpedance amplifier to measure a current flow between the working electrode and the counter electrode, in which a strength of the current flow corresponds to an amount of glucose present in a sample of blood on the glucose sensor.

The present invention is related to a biological data sensor for measuring biological data from a user. The biological data sensor comprises a sensing module and a wearable charging module. The sensing module is formed by flexible printed circuit (FPC) and attached to the user's skin. The sensing module includes light emitting units, at least one sensing unit, and a rechargeable battery. The light emitting unit emits a first sensing light onto the user's skin. The first sensing light is transmitted onto the user's skin and reflected from the user's skin as a second detecting light. The sensing unit receives the second sensing light and outputs the biological data. The rechargeable battery is electrically connected to the light emitting units and the sensing unit, and the rechargeable battery provides power to the light emitting units and the sensing unit. The wearable charging module is worn on a part of the user adjacent to the sensing module. The wearable charging module includes a charger and a first transmitter. The first transmitter is electrically connected to the charger, obtains power from the charger, wirelessly transmits the power to the rechargeable battery of the sensing module, and receives the biological data from the sensing module.

An electrode sheet is capable of suppressing an influence of noise that is applied on a wire, and a biological signal measuring device uses the electrode sheet. The electrode sheet is provided with a sheet, a biological signal receiving electrode formed at the sheet and exposed from the sheet, a biological signal amplifier formed at the sheet, an interface part for connection to an external biological signal processing unit, a first wire that connects the biological signal receiving electrode and an input part of the biological signal amplifier to each other, and a second wire that connects the interface part and an output part of the biological signal amplifier to each other.

Methods and devices to monitor an analyte in body fluid are provided. Embodiments include continuous or discrete acquisition of analyte related data from a transcutaneously positioned in vivo analyte sensor automatically or upon request from a user. The in vivo analyte sensor is coupled to an electronics unit holding a memory with instruction to cause processing circuitry to initiate a predetermined time period that is longer than a predetermined life of the sensor, during the predetermined time period, convert signals from the sensor related to glucose to respective corresponding glucose levels, without relying on any post-manufacture independent analyte measurements from a reference device, and at the expiration of the predetermined time period, disable, deactivate, or cease use of one or more feature.

A system for outputting a representation of a wound in tissue comprises a housing configured to removably receive at least a portion of a wireless communication device. At least one light source coupled to the housing is configured to emit excitation light to illuminate a target which includes at least a portion of the wound. A power supply contained in the housing is configured to provide power to the light source. A non-transitory computer-readable medium stores a program executable to cause the performance of operations comprising detecting signals responsive to illumination of the target, outputting the representation of the target based thereon, storing data relative to one or more target surface parameter based on the detected signals, and displaying the representation. The signals correspond to at least one of endogenous or exogeneous fluorescence, absorbance, and reflectance from at least one biological component in and/or on the target.

A method, apparatus and computer program, the method comprising: receiving a first biopotential signal obtained by a first capacitive sensor; receiving a second biopotential signal obtained by a second capacitive sensor, the first capacitive sensor and the second capacitive sensor being positioned at different locations on a subject; synchronising biopotential signals obtained by the first capacitive sensor and the second capacitive sensor by applying a time adjustment to biopotential signals obtained by at least one of the first capacitive sensor or the second capacitive sensor; wherein features in at least one of the first biopotential signal and the second biopotential signal are used to synchronise the biopotential signals obtained by the first capacitive sensor and the second capacitive sensor.

An exemplary method is disclosed that can be used in the diagnosis of hypertrophic cardiomyopathy (HCM) using a biophysical-sensor system configured to non-invasively and concurrently acquire electrocardiographic signals, seismographic signals, photoplethysmographic, and/or phonocardiographic signals, collectively referred to herein as biophysical signals, from at least the thoracic region of a subject. The acquired biophysical signals may be assessed for one or more conditions or indicators of hypertrophic cardiomyopathy and concurrently with other cardiac diseases, conditions, or indicators of either.

A blood pressure prediction method and an electronic device using the same are provided. The method includes the following steps. A training data set is collected. A first blood pressure prediction model is established according to the training data set. Hemodialysis parameter data of a target patient is received, wherein the hemodialysis parameter data includes a first hemodialysis parameter at a previous time point and a second hemodialysis parameter at a current time point. A hemodialysis parameter variation amount between the first hemodialysis parameter and the second hemodialysis parameter is calculated. The hemodialysis parameter variation amount is provided to the first blood pressure prediction model to generate a prediction blood pressure variation associated with a next time point. An operation is performed according to the prediction blood pressure variation of the target patient.