An apparatus and a method of monitoring fat burning in a subject non-invasively by measuring capacitance of the skin is described. In some embodiments, capacitance is measured at one or more skin depths for measuring acetone concentration and/or production as an indicator of fat burning or ketosis.

An apparatus and a method of monitoring fat burning in a subject non-invasively by measuring capacitance of the skin is described. In some embodiments, capacitance is measured at one or more skin depths for measuring acetone concentration and/or production as an indicator of fat burning or ketosis.

An autoclavable medical device is provided that includes a metal housing having an electrical conductor embedded in an inorganic fixing material. The conductor and fixing material define an electrical feedthrough that extends from an interior of the housing through at least a portion of the fixing material. The electrical feedthrough forms part of a sensor of an actuation means for the autoclavable medical device.

Disclosed is an energy self-sufficient real time bio-signal monitoring and nutrient and/or drug delivery system based on salinity gradient power generation. The energy self-sufficient real time bio-signal monitoring and/or nutrient delivery system based on salinity gradient power generation includes: an electricity generation and nutrient and/or drug delivery module including a reverse electrodialysis device which generates electricity by using a nutrient and/or drug solution and discharge a diluted nutrient solution; and a bio-signal measuring unit inserted into the electricity generation and nutrient and/or drug delivery module and configured to receive electricity from the electricity generation and nutrient and/or drug delivery module and measure a bio-signal.

Embodiments of the present disclosure provide techniques and configurations for an apparatus for a user's physiological context measurements. In one instance, the apparatus may include a processing block and first and second piezoelectric sensors coupled with the processing block. The first and second sensors may include respectively first and second electrodes to provide contact with a user's body in response to mounting of the apparatus on the user's body. The processing block may comprise a multi-modal sensing system configured to perform measurements of a user's physiological context during the contact of the user's body with the first and second electrodes, based at least in part on a voltage signal generated by the user's body and provided to the processing block via the first and second electrodes. Other embodiments may be described and/or claimed.

A system for monitoring medical conditions including pressure ulcers, pressure-induced ischemia and related medical conditions comprises at least one sensor adapted to detect one or more patient characteristic including at least position, orientation, temperature, acceleration, moisture, resistance, stress, heart rate, respiration rate, and blood oxygenation, a host for processing the data received from the sensors together with historical patient data to develop an assessment of patient condition and suggested course of treatment, including either suspending or adjusting turn schedule based on various types of patient movement. Compliance with Head-of-Bed protocols can also be performed based on actual patient position instead of being inferred from bed elevation angle. The sensor can include bi-axial or tri-axial accelerometers, as well as resistive, inductive, capacitive, magnetic and other sensing devices, depending on whether the sensor is located on the patient or the support surface, and for what purpose.

In a first aspect, the present disclosure relates to a computer-implemented method for generating a personalized lecture for a user. The method comprises obtaining at least one time series of electrodermal activity data of a user from a sensor and identifying a mental state of the user based on the at least one time series of electrodermal activity data. The method further comprises obtaining teaching content and generating a personalized lecture based on the mental state and the teaching content.

In a first aspect, the present disclosure relates to a computer-implemented method for generating a personalized lecture for a user. The method comprises obtaining at least one time series of electrodermal activity data of a user from a sensor and identifying a mental state of the user based on the at least one time series of electrodermal activity data. The method further comprises obtaining teaching content and generating a personalized lecture based on the mental state and the teaching content.

Systems and computer-implemented methods of automated physiological monitoring and prognosis of a plurality of subjects. A system includes a plurality of monitoring devices, each having a portion configured for deployment on a surface either opposite a concha or over a mastoid region of a subject, where real-time physiological parameter monitoring is performed. Each monitoring device also includes processor-executable program code configured to periodically generate respective values indicative of real-time physiological signs for the respective subject, and a transmitter configured to periodically and wirelessly transmit these periodically generated respective values to a mobile communication and display device. The mobile communication and display device is configured to use these periodically received respective values for the plurality of subjects from the plurality of monitoring devices to periodically generate a respective prognosis score for each subject, and to periodically generate an alert for at least two of the subjects.

Systems and methods of processing raw electrocardiogram (ECG) waveform data of a patient into estimated real-time ECG waveform data. The method includes sensing-at least one physical non-cardiac influence on the raw ECG waveform data, constructing a time domain computer model of the at least one physical, non-cardiac influence on the raw ECG waveform data, and adaptively filtering the raw ECG waveform data in the time domain using the constructed time domain computer model of the at least one physical non-cardiac influence on the raw ECG waveform data to form the estimated real-time ECG waveform data. The system can include an ECG device for collecting raw ECG waveform data, at least two ECG electrodes positioned on the patient and electrically coupled to the ECG device, and a processor coupled to the ECG device and configured to compute a time domain model of an artifact created by chest compressions.