A wearable device is provided. The wearable device includes a memory configured to store instructions, at least one display having a display area, a frame configured to support the at least one display, the frame including a nose pad in contact with a part of a user's body wearing the wearable device, a photoplethysmography (PPG) sensor exposed through at least a portion of the frame in contact with other part of the user's body, at least one microphone disposed in the nose pad, and a processor. The processor, when executing the instructions, is configured to identify a breathing state of the user, based at least in part on first data acquired through the PPG sensor and second data acquired through the at least one microphone.

A system for collecting data for assessment of cardiovascular function includes a plurality of monitoring devices coupled to different respective body parts. Each monitoring device is configured to measure a respective signal at the respective body part in response to cardiovascular activity. The respective signal includes a cardiovascular component attributable to the cardiovascular activity and an artifact component not attributable to the cardiovascular activity. When the monitoring devices measure the respective signals simultaneously over a same time period, the cardiovascular components are correlated, and the artifact components are not correlated. The system also includes a controller configured to: identify the cardiovascular components included in the signal measurements, according to the correlation of the cardiovascular components; reject the artifact components included in the signal measurements, according to the non-correlation of the artifact components; and determine cardiovascular information from the identified cardiovascular components for an assessment of cardiovascular function.

An electronic device is provided. The electronic device includes a plurality of electrodes, a sensor operably connected to the plurality of electrodes, a memory, and a processor operably connected to the sensor and the memory, wherein the processor may be configured to obtain plural contact impedances through the sensor based on contact between the plurality of electrodes and a user, perform body impedance measurement in case that all the obtained contact impedances are less than a first impedance value, and determine not to perform body impedance measurement in case that at least one of the obtained contact impedances is greater than or equal to the first impedance value.

The present disclosure may provide imaging methods, systems and storage media. The imaging methods may include: obtaining first imaging data acquired by an imaging device, wherein the first imaging data includes data corresponding to a plurality of cardiac cycles; and performing image reconstruction on data corresponding to the plurality of cardiac cycles in the first imaging data to acquire one or more cardiac cines. Each cardiac cine of the one or more cardiac cines may include cardiac images of a plurality of phases in at least one cardiac cycle.

A bio-signal data processing apparatus includes a communicator configured to receive electrocardiogram data from a bio-signal measuring apparatus, a recording unit configured to record the electrocardiogram data, a transmission delay determiner, and an output information generator. The transmission delay determiner is configured to generate transmission delay information by comparing a recording time of the electrocardiogram data with a reception time of the electrocardiogram data, detect whether or not a delay according to data transmission occurs, by considering the transmission delay information, and, when the delay is detected to occur, calculating delay time information that is calculated on the basis of the transmission delay information. The output information generator is configured to correct the electrocardiogram data by using the delay time information and generate output data of the electrocardiogram data corresponding to a user input.

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.

A body motion determination system (100) configured to determine whether or not a subject (S) on a bed (BD) has a body motion includes: a plurality of load detectors (11, 12, 13, 14) each configured to detect the load of the subject on the bed; a respiratory waveform obtaining unit (32) configured to obtain a respiratory waveform of the subject based on a temporal variation of the load of the subject detected by each of the plurality of load detectors; and a body motion determining unit (33) configured to determine whether or not the subject has the body motion based on a comparison between a first threshold value and a standard deviation of the temporal variations in the load of the subject detected by at least one of the plurality of load detectors. The body motion determining unit is configured to compensate the standard deviation to be used in the comparison by an amplitude of the respiratory waveform.

Provided are robotic systems and methods for navigation of luminal network that detect physiological noise. In one aspect, the system includes a set of one or more processors configured to receive first and second image data from an image sensor located on an instrument, detect a set of one or more points of interest the first image data, and identify a set of first locations and a set of second location respectively corresponding to the set of points in the first and second image data. The set of processors are further configured to, based on the set of first locations and the set of second locations, detect a change of location of the instrument within a luminal network caused by movement of the luminal network relative to the instrument based on the set of first locations and the set of second locations.

A computer-implemented method for synchronizing a PPG signal with an ECG signal includes: recording the ECG and PPG signals semi-synchronously; cutting the PPG signal into PPG signal pieces; for a PPG signal piece: determining distances d between a vector of PPG peak times and respective vectors of ECG peak times for respective ECG signal pieces obtained by applying different offsets o; determining a best matching ECG signal piece with minimal distance do; and registering start time x of the PPG signal piece, start time yo of the best matching ECG signal piece, and the minimal distance do; determining an offset and drift between the PPG signal and ECG signal as the offset and slope of a regression model modelling the relation between the start time x and start time yo, inverse weighted by the minimal distance do; applying the offset and drift to the PPG signal.

A system for monitoring includes: multiple EEG sensors spatially positioned on a layer of tissue for capturing EEG signals of a patient; multiple amplifiers coupled with the EEG sensors for amplifying the captured signals; and a low frequency oscillator for generating a synchronizing signal which is distributed to the amplifiers for synchronizing the digitization of the captured signals; wherein each amplifier includes: a voltage controlled oscillator for an adjustable frequency reference; an analog to digital converter for converting the amplified signal to a digital value; and a microcontroller for controlling the frequency of the voltage controlled oscillator and operation of the analog to digital converter by using the synchronizing signal.