A system comprising a plurality of neuromuscular sensors, each of which is configured to record a time-series of neuromuscular signals from a surface of a user's body; and at least one computer hardware processor programmed to perform: applying a source separation technique to the time series of neuromuscular signals recorded by the plurality of neuromuscular sensors to obtain a plurality of neuromuscular source signals and corresponding mixing information; providing features, obtained from the plurality of neuromuscular source signals and/or the corresponding mixing information, as input to a trained statistical classifier and obtaining corresponding output; and identifying, based on the output of the trained statistical classifier, and for each of one or more of the plurality of neuromuscular source signals, an associated set of one or more biological structures.

A system and method for identifying sleep states of a subject are provided. In some aspects, the method includes acquiring physiological data from a subject over a sleep period using sensors positioned about the subject, and assembling the physiological data into time-series datasets. The method also includes selecting a temporal window in which signals associated with the time-series datasets are substantially stationary, computing a time bandwidth product based on a selected spectral resolution and the selected temporal window, and determining a number of tapers using the computed time bandwidth product. The method further includes computing a spectrogram using the determined number of tapers and the time-series datasets, analyzing the spectrogram to identify signatures of sleep in the subject, and generating, using the identified signatures, a report indicative of sleep states of the subject.

According to an aspect, there is provided a method of sending a message to a subject, the method comprising obtaining (30; 502) measurements of one or more physiological characteristics of a subject over time; determining (32; 504) a psychological state of the subject for a plurality of time periods from the measurements; and in the event that it is determined that the subject is in a psychological state of interest in a first time period, sending (34; 514) a message to the subject in a time period subsequent to the first time period in which it is determined that the subject is not in the psychological state of interest.

A surface of a vehicle component can be dynamically deformable surface. The dynamically deformable surface can be configured to undergo deformations to dynamically form a dynamic button or other user interface element on demand. The dynamically deformable surface can include one or more biosensors. When a user engages the dynamic button with a portion of the body, the one or more biosensors can acquire user biodata. The user biodata can be used by the vehicle as input for various purposes. For instance, the vehicle can operate as a health-monitoring and/or comfort monitoring system. As a result of these arrangements, buttons and other user interface elements can appear and disappear depending on the need and/or application, providing a cleaner vehicle cockpit interface and greatly expanding the possibilities of where such buttons can be located at and how many things can be controlled by the driver using physical interfaces.

Embodiments herein relate to ear-wearable systems and devices for detecting heat stress and related methods. In an embodiment, an ear-wearable heat stress risk assessment system is included having a control circuit, a microphone, and a sensor package. The system is configured to process signals of one or more sensors of the sensor package and/or the microphone, detect dehydration symptoms, environmental conditions, and activity levels of a device wearer based on the processed signals, and determine a heat stress risk level based on detected dehydration symptoms, environmental conditions, and activity levels of the device wearer. Other embodiments are also included herein.

Embodiments are directed to a patch for coupling a watch body to a body of a user. The patch can include a substrate formed from a flexible material and an adhesive disposed over a surface of the substrate and configured to couple the patch to the body of the user. The patch can include a watch-mounting component disposed over a surface of the substrate and configured to couple the watch body to the patch. The patch can include one or more sensing elements, each having a terminal configured to contact the user, an interface element configured to interface with a watch sensing element of the watch body, and a conduit operably coupling the first terminal to the first interface element. The sensing elements can transmit signals to the watch body and the watch body can determine a physiological measurement of the user using the first and second signals.

Methods, systems, and devices for temperature analysis are described. The method may include receiving physiological data associated with a user collected via a first set of sensors of a wearable device. The physiological data may include skin temperature data. The method may include receiving surrounding temperature data associated with an environment surrounding the user. The surrounding temperature data may be collected via the first set of sensors, a second set of sensors, or both. The method may additionally include identifying one or more physiological characteristics associated with the user based at least in part on a comparison of the skin temperature data and the surrounding temperature data, and causing a graphical user interface (GUI) of a user device to display an indication of the one or more physiological characteristics, a message or alert associated with the one or more physiological characteristics, or both.

A system for selection and configuration of an automated robotic process includes a media input module structured to receive at least one functional media, a media analysis module structured to analyze the at least one functional media and identify an action parameter; and a solution selection module structured to select at least one component of an AI solution for use in an automated robotic process, wherein the selection is based, at least in part, on the action parameter.

The present invention relates to a device, system and method for determining an emotional state of a user based on emotion-induced cortisol estimation. The device comprises an interface (11) for obtaining a psychophysiological signal trace (22) indicative of one or more measured stimulus responses corresponding to a neural stress response; a processing unit (12) for processing the psychophysiological signal trace, wherein the processing unit is configured to determine one or more stimulus responses (29) in the psychophysiological signal trace (22); to determine a first contribution (91) to an estimated future cortisol level trace (93) based on the one or more determined stimulus responses (29) in the psychophysiological signal trace (22);to determine a second contribution (92) to the estimated future cortisol level trace (93) based on one or more anticipated future stimulus responses (96); and to determine an estimated future emotional state of the user based on said first and said second contribution to the estimated future cortisol level trace (93). The invention further relates to a corresponding computer program and a wearable device (30).

The present invention relates to a device, system and method for determining an emotional state of a user based on emotion-induced cortisol estimation. The device comprises an interface (11) for obtaining a psychophysiological signal trace (22) indicative of one or more measured stimulus responses corresponding to a neural stress response; a processing unit (12) for processing the psychophysiological signal trace, wherein the processing unit is configured to determine one or more stimulus responses (29) in the psychophysiological signal trace (22); to determine a first contribution (91) to an estimated future cortisol level trace (93) based on the one or more determined stimulus responses (29) in the psychophysiological signal trace (22);to determine a second contribution (92) to the estimated future cortisol level trace (93) based on one or more anticipated future stimulus responses (96); and to determine an estimated future emotional state of the user based on said first and said second contribution to the estimated future cortisol level trace (93). The invention further relates to a corresponding computer program and a wearable device (30).