In an embodiment, a rehabilitation support system includes: a sensor data acquirer configured to acquire biometric information on a user measured by a sensor; an estimator configured to estimate a state of the user based on the biometric information; a first determiner configured to determine whether the state of the user estimated by the estimator has occurred within a set time, the set time comprising a time slot defined for implementation of a rehabilitation; a first storage device configured to store a mode of a spatiotemporally changing item; a selector configured to select the mode of the spatiotemporally changing item, in accordance with a result of the determination by the first determiner; and a presenter configured to present the mode of the spatiotemporally changing item selected by the selector.

A gripping apparatus includes: a temperature adjusting device held in a substrate wherein the substrate defines an open region; a phase change material held within the open region and thermally coupled with the temperature adjusting device such that a temperature change in the temperature adjusting device causes a temperature change in the phase change material; and a controller connected to the temperature adjusting device and configured to send a signal to the temperature adjusting device to change its temperature and thereby change the temperature of the phase change material that is thermally coupled with the temperature adjusting device. The phase change material is either in a solid state and configured to grip a stick or in a liquid state and the phase change material and configured to loosen its grip on the stick such that the stick is capable of moving through the phase change material.

An evaluation system including a hardware system for collecting real-time data for evaluating sleeping comfort performance of a bedding system is disclosed. The hardware system includes a thermal and moisture comfort measurement system, a thermal and moisture comfort control system, a biomechanical comfort control system, and a biomechanical comfort measurement system. The evaluation system also includes a computational system having a processor and a tactile database, and a portable device. The computational system is configured to receive and process the real-time data from the hardware system, and is communicatively connected to the portable device for transmitting real-time data for evaluating the bedding system and adjusting the hardware system. A mobile application executable on the portable device is configured to collect subjective opinion of the sleeper using questionnaires, and the processor is configured to perform combined analysis of the subjective opinion and the real-time data of the bedding system.

A wearable device includes a housing with a window and an electronic module supported by the housing. The electronic module includes a photoplethysmography sensor, a motion sensor, and a signal processor that processes signals from the motion sensor and signals from the photoplethysmography sensor. The signal processor is configured to remove frequency bands from the photoplethysmography sensor signals that are outside of a range of interest using a band-pass filter to produce pre-conditioned signals, and to further process the pre-conditioned signals using the motion sensor signals to reduce motion artifacts from footsteps during subject running. The device includes non-air light transmissive material in optical communication with the photoplethysmography sensor and the window that serves as a light guide for the photoplethysmography sensor. The window optically exposes the photoplethysmography sensor to a body of a subject wearing the device via the non-air light transmissive material.

An inhaler includes a mouthpiece cover, a pressure sensor, a first indicator and a second indicator. The first indicator may be configured to indicate based on a state of the cover, and the second indicator may be configured to indicate based on an output of the pressure sensor. For example, when the mouthpiece cover opens, the first indicator may illuminate and a dose of medication may be transferred from a reservoir to a dosing cup. The second indicator may illuminate if an amount of inhaled medication reaches a predetermined threshold for successful inhalation.

A vital signs monitoring system includes a peak pattern detection module configured to output a peak prediction signal from sensor signals based on a peak prediction algorithm; a vital sign estimating module configured to estimate a vital sign based on the peak prediction signal; an activity and context detector module configured to output a context signal based on at least one environmental condition and/or activity level of the person; and a concept drift detection module configured to output a drift signal based on drift detected in the estimated vital sign. The peak pattern prediction module is configured to update the peak prediction algorithm based on the context signal and the drift signal.

An apparatus and a method for monitoring a bio-signal measuring condition are disclosed. The apparatus includes a bio-signal receiver configured to receive a bio-signal that is measured from a user, and a processor configured to extract any one or any combination of a waveform feature, a period feature, and an amplitude feature, from the received bio-signal, determine whether the extracted any one or any combination of the waveform feature, the period feature, and the amplitude feature are normal, using at least one predetermined determination reference corresponding to the extracted any one or any combination of the waveform feature, the period feature, and the amplitude features, and monitor a measuring condition of the received bio-signal, based on whether the extracted any one or any combination of the waveform feature, the period feature, and the amplitude feature are determined to be normal.

Aspects of the present disclosure provide methods, apparatuses, and systems for closed-loop sleep protection and/or sleep regulation. According to an aspect, a biosignal parameter and ambient noise are measured. The biosignal parameter is used to determine sleep condition of a subject. The sleep condition is determined based on one or more of personalized sleep data or historical sleep data collected using a subset of society. Based on the sleep condition, an arousal threshold is determined. Based on the ambient noise and the determined sleep condition, one or more actions are taken to regulate sleep and avoid sleep disruption.

A monitoring system for obtaining a video related to medication adherence of a user, includes: a wireless communication device comprising a motion sensor, an ambient light sensor, a first transceiver transmitting data to an external device, and a first controller configured to control the motion sensor, the ambient light sensor, and the first transceiver, the wireless communication device having an attaching portion for being attached to an object containing a medication; and a wearable device including a camera, a second transceiver receiving a signal from the first transceiver, and a second controller configured to obtain video data through the camera based on the signal received through the second transceiver.

Methods and systems are provided for lowering power consumption in an optical sensor, such as a pulse oximeter. In one example, a method for an optical sensor includes illuminating a light emitter of the optical sensor according to set sensor parameters, the sensor parameters set based on hardware noise or external interference characterization and light transmission or reflection of a tissue contributing to a signal output by the optical sensor, the sensor parameters including current drive parameters of the light emitter, and adjusting the current drive parameters of the light emitter to maintain a target signal to noise ratio of the signal output by the optical sensor.