A medical sensor system comprising a sensor implantable under the skin of a user and an on-body module attachable to the skin in the region of the implantable sensor, wherein the on-body module has a self-adhering flexible electronics patch including a first transmitter which is operable to exchange data with the implantable sensor via a short-range wireless connection.

A wound dressing for wireless communication with a transceiver includes a radio-frequency antenna circuit disposed on a flexible substrate, and an electrochemical moisture sensor circuit disposed on a surface of the flexible substrate. An adhesive is provided to attach the wound dressing skin of a user. The electrochemical moisture sensor is arranged between the adhesive and the flexible substrate.

It is commonly known within the art of cutaneous/transcutaneous blood gas monitoring to warm up the skin of the patient to allow carbon dioxide and oxygen to diffuse easily through the skin. This is especially the case for transcutaneous partial pressure monitoring of oxygen. Heating the skin to 43° C. to 45° C. over several hours or days may cause damage to the skin. In order to avoid or minimize the risk of these damage, it is proposed to monitor the blood gases at a lower temperature with a cutaneous sensor, and intermittently warm up the skin to a temperature of 42° C. or more for a short duration to monitor the transcutaneous partial pressure of oxygen, before lowering the temperature to the lower set point.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving physiological data of a patient, obtaining ecological momentary assessment (EMA) data by sending an EMA data prompt, and receiving patient input responsive to the EMA data prompt; and generating, based on the EMA data and the physiological data, a graphical representation of the patient's idiomatic psychopathology symptom network as a symptom network graph.

In one embodiment the invention provides a process of capturing a biopotential signal at a surface of a body using a sensor receiver which forms a first signal connection the body wherein one or more parameters of impedance of the first signal connection are unknown. The process comprises receiving the biopotential signal at an output of a first signal channel having a first transfer function which is dependent on the one of more unknown first impedance parameters. The process also comprises receiving the biopotential signal at an output of a second signal channel having a second transfer function dependent on the one of more unknown first impedance parameters. The process also comprises deriving a set of relations for the biopotential signal. The set of relations is defined dependent on the transfer function of the first signal channel, the transfer function of the second signal channel, and outputs of the first and second signal channels; and solving the set of relations to determine the captured biopotential signal.

Methods and systems for tracking movement of a person, including a method comprising: arranging a plurality of sensors of a motion tracking system on a body of the person; tracking movement of the person with the plurality of sensors at least while the person performs a movement; digitally estimating, with a computing device, a position of either the first joint or the sensor on the second body member, wherein the position of the first joint is estimated using measurements of the first sensor and the position of the sensor is estimated using measurements of both the first sensor and the sensor arranged on the second body member, and wherein the position is estimated while movement of the person is tracked; digitally computing, with the computing device, an acceleration of the estimated position while movement of the person is tracked; digitally computing, with the computing device, a first comparison between the computed acceleration of the estimated position and acceleration measurements of the sensor arranged on the second body member; and digitally determining, with the computing device, the movement performed by the person based on the first comparison.

Wrist-worn devices and methods for measuring blood oxygen saturation using a wrist-worn device compute blood oxygen saturation by processing an output signal from one or more photodetectors indicative of absorption of light by a finger interfaced with the one or more photodetectors. A method includes transmitting a first wavelength light into a finger from a first light emitter mounted to a wrist band of the wrist-worn device. A second wavelength light is transmitted into the finger from a second light emitter mounted to the wrist band. An output signal indicative of absorption by the finger of the first wavelength light and the second wavelength light is generated by one or more photodetectors interfaced with the finger and disposed on a housing of the wrist-worn device. The output signal is processed with a processor disposed in the housing to compute blood oxygen saturation.

A method for determining spatial information for a multi-segment articulated rigid body system having at least an anchored segment and a non-anchored segment coupled to the anchored segment, each segment in the multi-segment articulated rigid body system representing a respective body part of a user, the method comprising: obtaining signals recorded by a first autonomous movement sensor coupled to a body part of the user represented by the non-anchored segment; providing the obtained signals as input to a trained statistical model and obtaining corresponding output of the trained statistical model; and determining, based on the corresponding output of the trained statistical model, spatial information for at least the non-anchored segment of the multi-segment articulated rigid body system. Determining the spatial information may include determining the position and/or orientation of the non-anchored segment relative to the anchor point and/or determining a spatial relationship between the anchored and non-anchored segments.

A sensor device is described herein. The sensor device includes a multi-dimensional optical sensor and processing circuitry, wherein the multi-dimensional optical sensor generates images and the processing circuitry is configured to output data that is indicative of hemodynamics of a user based upon the images. The sensor device is non-invasive, and is able to be incorporated into wearable devices, thereby allowing for continuous output of the data that is indicative of the hemodynamics of the user.

The electronics arrangement comprising a processor (201); and a memory (203), the at least one memory (203) storing instructions, the instructions, when executed by the processor (201), cause the processor (201) to perform operations comprising: obtaining a current version of a machine-learned model; obtaining first data from at least one sensor (211) of the wearable article (20); and employing the current version of the machine-learned model to generate an inference using the first data. The processor (201) may determine whether to update the machine-learned model based on the generated inference. The processor (201) may comprise a hardware accelerator. The processor (201) may cause data to be transmitted to a base station for updating the machine-learned model.