Disclosed is a vital sign monitoring system. The system comprises a segmented electrode forming an in-plane electrode array, wherein the electrode comprise a skin contacting skin adhering contact layer mounted on an electrode backing material, a deformation sensor arranged for identifying deformation information of the electrode, a signal processor arranged to receive a vital sign signal from the electrode and process the deformation information to remove artefacts from the vital sign signal, wherein the electrode comprises multiple electrode segments and wherein the signal processor is arranged to select that electrode segment that has a lowest deformation of all electrode segments of the electrode.

Disclosed is a vital sign monitoring system. The system comprises a segmented electrode forming an in-plane electrode array, wherein the electrode comprise a skin contacting skin adhering contact layer mounted on an electrode backing material, a deformation sensor arranged for identifying deformation information of the electrode, a signal processor arranged to receive a vital sign signal from the electrode and process the deformation information to remove artefacts from the vital sign signal, wherein the electrode comprises multiple electrode segments and wherein the signal processor is arranged to select that electrode segment that has a lowest deformation of all electrode segments of the electrode.

In this biological information measurement device, the following are provided within a shield frame 315 in which the interior is shielded from the outside when attached to a sensor sheet 100: a terminal (a spring probe 312) that is connected to a sensor (an electrode 133) of the sensor sheet 100; and an external terminal (a USB terminal 313) for connection to an external device.

In this biological information measurement device, the following are provided within a shield frame 315 in which the interior is shielded from the outside when attached to a sensor sheet 100: a terminal (a spring probe 312) that is connected to a sensor (an electrode 133) of the sensor sheet 100; and an external terminal (a USB terminal 313) for connection to an external device.

Methods, systems, and devices are disclosed for wearable, real-time multimodal sensing of electrochemical and electrophysiological and/or physical parameters of a user. In some aspects, a multimodal sensor device includes a flexible substrate; an electrochemical sensor disposed on the substrate and including electrochemical sensing electrodes operable to measure an electrical signal corresponding to a reaction including a chemical substance via an electrochemical sensing electrode and an analyte at the electrochemical sensor; and an electrophysiological sensor including two or more electrodes disposed on the substrate to acquire an electrophysiological signal of the user, such that when the multimodal sensor device is electrically coupled to an electronics unit and adhered to the user, the device is operable to simultaneously monitor an electrochemical parameter and an electrophysiological parameter of the user.

Stretchable condition-monitoring biopatch devices are disclosed. The stretchable condition-monitoring biopatches may include an elastomer layer. The elastomer layer may adhere to the skin without use of an adhesive. The devices described herein In may include stretchable electrodes configured to sense physiological potentials from the patient or subject. The device may include a stretchable circuit board. The stretchable electrodes may be in electrical communication with the stretchable circuit board via stretchable circuits. Methods for providing machine-learning neural networks are disclosed. These methods may include convolution neural networks that incorporate inception-type convolution units that may classify and diagnose conditions based on signals detected by the condition-monitoring biopatches.

Stretchable condition-monitoring biopatch devices are disclosed. The stretchable condition-monitoring biopatches may include an elastomer layer. The elastomer layer may adhere to the skin without use of an adhesive. The devices described herein In may include stretchable electrodes configured to sense physiological potentials from the patient or subject. The device may include a stretchable circuit board. The stretchable electrodes may be in electrical communication with the stretchable circuit board via stretchable circuits. Methods for providing machine-learning neural networks are disclosed. These methods may include convolution neural networks that incorporate inception-type convolution units that may classify and diagnose conditions based on signals detected by the condition-monitoring biopatches.

Systems, methods and devices for reducing noise in health monitoring including monitoring systems, methods and/or devices receiving a health signal and/or having at least one electrode or sensor for health monitoring.

Systems, methods and devices for reducing noise in health monitoring including monitoring systems, methods and/or devices receiving a health signal and/or having at least one electrode or sensor for health monitoring.

Systems, methods and devices for reducing noise in health monitoring including monitoring systems, methods and/or devices receiving a health signal and/or having at least one electrode or sensor for health monitoring.