A smartphone plugin determines the heart rate and the breathing rate of a user, who is either holding the smartphone in his/her hand or who has the smartphone resting on his/her chest when lying in a supine position, using only smartphone accelerometer output data and no external sensors. The smartphone is preloaded with spectral entropy to weight mapping information for each of a plurality of use cases. The plugin performs frequency domain processing on accelerometer output data to determine an estimated heart rate EHR and an estimated breathing rate EBR. The spectral entropy of accelerometer output data is determined, and is used along with an appropriate spectral entropy to weight mapping, to determine an EHR weight for each EHR value and an EBR weight for each EBR value. The weights are used to adjust the EHR and EBR values to generate more accurate heart rate and breathing rate values.

The present invention relates to an apparatus and method for determining blood pressure of a subject. To automatically trigger calibration the apparatus comprises a sensor signal input configured to obtain an arterial pulse wave sensor signal of the subject, a feature extraction unit configured to extract multiple features from the obtained arterial pulse wave sensor signal, an estimation unit configured to determine multiple blood pressure estimation values for individual extracted features and/or groups of extracted features and to determine the subject's blood pressure from said multiple blood pressure estimation values, a calibration unit configured to calibrate the estimation unit based on blood pressure reference measurements, and a calibration trigger unit configured to trigger calibration by the calibration unit if the multiple blood pressure estimation values diverge more than a divergence limit.

A computer-implemented method for contact photoplethysmography, abbreviated contact PPG, comprises obtaining during a time interval plural PPG signals for sub-regions of a lens or video frame; and combining the plural PPG signals to thereby obtain a multi-region PPG signal.

Data-stream bridging for sensor transitions is described. A first data stream of glucose measurements is received from a first glucose sensor worn by a user. A termination event for the first glucose sensor is detected when production and/or communication of the first glucose measurements via the first data stream ceases. Next, a second data stream of glucose measurements is received from a second glucose sensor worn by the user that replaces the first glucose sensor. During a warmup period for the second glucose sensor, estimated glucose values are output for the user based on both the first data stream of glucose measurements received from the first glucose sensor prior to the termination event and the second data stream of glucose measurements received from the second glucose sensor.

Methods for capturing medical images associated with a patient using a mobile image-capturing device are disclosed. One example method includes accessing patient identifying information through an electronic health record (EHR) application installed in the mobile image-capturing device. A user may launch a scan application installed in the mobile image-capturing device from the EHR application and upon launching of the scan application, the scan application may be provided with the patient identifying information from the EHR application. The scan application may capture medical images using an imaging equipment of the mobile image-capturing device, associate the captured images with the patient identifying information, and transmit the captured images with the patient identifying information to a storage location.

A method for detecting cardiac arrhythmia based on a photoplethysmographic (PPG) signal is provided. The method includes: receiving a PPG signal and a motion signal corresponding to a motion made by a user; extracting PPG signal segments and motion signal segments corresponding to a time period from the PPG signal and the motion signal, respectively, at every time period; filtering out motion artifact noise in the PPG signal segments according to the PPG signal segments and the motion signal segments, and converting the PPG signal segments and the motion signal segments into PPG spectrum diagrams and motion spectrum diagrams, respectively; obtaining an estimated heart rate according to the PPG spectrum diagrams and the motion spectrum diagrams; and determining whether cardiac arrhythmia is present based on the filtered PPG signal segments and the estimated heart rate.

An electronic device for enhancing accuracy upon contactless body temperature measurement is provided. The electronic device includes an image sensor for obtaining an image of an object, a temperature sensor disposed at a position adjacent to the image sensor for measuring a temperature of the obtained object, and a controller for performing control to determine the temperature of the object using a focal length of a camera module including the image sensor corresponding to a time of obtaining the image of the object and a temperature output from the temperature sensor corresponding to the time of obtaining the image of the object.

An adaptive noise quantification system and associated methods are disclosed for use in the dynamic biosignal analysis of a user. In at least one embodiment, the system includes a biosignal sensor positioned and configured for obtaining and transmitting data related to a select at least one vital of the user as a biosignal, and a motion sensor positioned and configured for obtaining and transmitting data related to a motion level of the user as a motion signal. A computing device is configured for receiving and processing the biosignal and motion signal.

A fingerprint capture system, a fingerprint capture device, an image processing apparatus, a fingerprint capture method, and a storage medium that can acquire a high quality fingerprint image are provided. A disclosed example includes: a capture unit that captures a fingerprint; an image processing unit that processes a transferred fingerprint image captured by the capture unit; a display unit on which the fingerprint image transferred to the image processing unit is displayed; a recording unit where the fingerprint image transferred to the image processing unit is recorded by the image processing unit; and an instruction unit that inputs, in the image processing unit, a record instruction that instructs the image processing unit to record the fingerprint image in the recording unit. The image processing unit records, in the recording unit, the fingerprint image displayed on the display unit at the time the record instruction is input by the instruction unit.

A device and method for spectrum analysis in which differences among skin spectra are quantitatively analyzed, and a blood glucose measurement device are provided. The device for spectrum analysis includes an obtainer configured to acquire a plurality of skin spectra; and a processor configured to generate a plot of difference degree of spectra which represents differences among the acquired plurality of skin spectra, and determine whether the plurality of skin spectra are appropriate for blood glucose measurement based on the plot of difference degree of spectra.