The present invention is directed to a system for monitoring a physiological parameter of a cyclist, and methods of using the system. The system comprises a garment, a sensor, and a signal processor. The garment is configured to be worn by the cyclist. The sensor is fixedly coupled to the garment and configured to measure a signal representative of the physiological parameter during pedaling. The signal processor is operatively coupled to the sensor and configured to determine a diagnosis based on the measured signal. An alert is generated in response to the diagnosis substantially in real time.

Systems and methods for a self-powered wireless wearable sensor system include a photovoltaic (PV) panel array, used as a power source for a wearable sensor. The PV panel array may be attached to an area of the human body exposed to a light source. Exposure to a light source may generate an electric field and power a wearable device sufficiently to support data transmission and continuous monitoring. An integrated self-powered wireless wearable sensor system may include a microfluidic sweat sensor patch that may be connected to lower-power wireless sensor circuitry for regulating power efficiently and may be powered by the PV panel array.

A vehicle seat has at least one occupant comfort actuator suited for acting on a part of the body of an occupant of the seat. The actuator is driven based on at least one measurement of one sensor of sweat from the occupant of the seat.

Support structures for positioning sensors on a physiologic tunnel for measuring physical, chemical and biological parameters of the body and to produce an action according to the measured value of the parameters. The support structure includes a sensor fitted on the support structures using a special geometry for acquiring continuous and undisturbed data on the physiology of the body. Signals are transmitted to a remote station by wireless transmission such as by electromagnetic waves, radio waves, infrared, sound and the like or by being reported locally by audio or visual transmission. The physical and chemical parameters include brain function, metabolic function, hydrodynamic function, hydration status, levels of chemical compounds in the blood, and the like. The support structure includes patches, clips, eyeglasses, head mounted gear and the like, containing passive or active sensors positioned at the end of the tunnel with sensing systems positioned on and accessing a physiologic tunnel.

Methods, systems, and devices are described herein for various embodiments of using a sample analysis system to analyze a sample of bodily fluid from a user to determine parameters associated with the user including states of hydration, dehydration, rehydration, electrolyte loss, wellness, recovery, and the like. In some embodiments, the methods disclosed can be implemented using a device worn by a user, and operatively coupled to a sample analysis system configured to collect a sample of bodily fluid, and measure and analyze the bodily fluid to determine a property of the bodily fluid and/or a physiological/wellness parameter (e.g., degree of hydration, electrolyte losses, perspiration rate, etc.) of the user.

A method of using an electrochemical device includes at least first and second electrodes; a chamber for receiving a fluid sample and defining a volume partially bounded by a first portion of the first electrode and a second portion of the second electrode, the first portion having a first characteristic for influencing an electrochemical reaction at the first portion, the second portion having a second characteristic for influencing an electrochemical reaction at the second portion, the first and second characteristics having a predetermined relationship. The method also includes receiving a fluid sample in the chamber; measuring first and second electrical outputs at least one of the first and second electrodes; and determining whether the first and second electrical outputs are related according to the predetermined relationship.

A computer-implemented method or system for generating health data is provided. The method includes receiving a sensor data set measured by one or more sensors of a wearable device over an interval of time, the sensor data set indicating a time series profile of a body parameter of a user of the wearable device over the interval of time. The method also includes determining an activity type of the user matching the time series profile; and calculating a value associated with a health metric, wherein the value is calculated based on the activity type.

An embodiment of the invention provides a method to control a mechanical system based on the cognitive state of a user, where a first action is performed at an input device that is associated with the user. The cognitive state of the user is detected at the input device; and, a change to the first action is determined based on the cognitive state of the user. A controlled action is performed based on the recommended change. A system can include an input device associated with user, where a first action is performed at the input device. A processor connected to the input device detects the cognitive state of the user at the input device and determines a change to the first action based on the cognitive state of the user. A controller connected to the processor performs a controlled action based on the recommended change.

An electronic system for monitoring a physical parameter includes an ADM comprising an accumulation mode sensor for measuring the physical parameter by generating electrical energy associated with the physical parameter in response to a surrounding condition, and an energy storing device coupled to the accumulation mode sensor for accumulatively storing the generated electrical energy; a power source; and an SoC coupling with the ADM and the power source, configured such that the stored electrical energy is monitored, and when the stored electrical energy is equal to or greater than a pre-defined threshold, a wake-up event is generated to trigger the SoC to operates in a run mode in which the physical parameter is wirelessly transmitted to a receiver and the stored electrical energy in the energy storing device is discharged, and then the SoC returns to a sleep mode in which a minimal power is consumed.

A biomarker diagnostic system includes a sensor to collect a sweat sample from a biological subject; a processor operatively connected to the sensor, wherein the processor is configured to perform metabolic and proteomic profiling of biomarkers in the sweat sample. The metabolic and proteomic profile is compared to a predetermined profile of the biomarkers and to determine a physiological status of the biomarkers. The system further includes a feedback unit operatively coupled to the sensor and the processor and configured to output physiological performance data based on the physiological status.