The present application discloses various methods and apparatuses for determining a head movement, wherein a method for determining a head movement disclosed comprises: acquiring, in response to a head movement of a human body, brain electricity detection information of a human body; and determining the head movement corresponding to the brain electricity detection information. The present application provides a new solution for head movement recognition, by which accuracy of head movement recognition is improved.

A technology for a wearable medical device for monitoring medical parameters. Medical measurement data can be received at the wearable medical device from a medical measurement sensor attached to the wearable medical device or a medical measurement sensor in communication with the wearable medical device. A calibration coefficient can be determined for calibrating the wearable medical device based on the medical measurement data. The wearable medical device can be calibrated based on the calibration coefficient.

The non-invasive blood glucose level measurement device (1) is provided with a pulse waveform measurement unit (2) having FBG sensors (4) for measuring an acceleration pulse wave of a test subject; and a data-processing unit (3) for calculating the blood glucose level of the test subject at the point in time of measurement of the acceleration pulse wave, from waveform information of the measured acceleration pulse wave, on the basis of a predetermined correlation. The correlation is a calibration curve constructed by carrying out a PLS regression analysis, using the blood glucose level measured by a non-invasive blood glucose method as the objective variable, and a simultaneously-measured acceleration pulse wave as the explanatory variable. A non-invasive blood glucose level measurement device capable of measuring blood glucose level at about the same measurement accuracy as an invasive blood glucose measurement device can be achieved thereby.

A fall detection system includes a wearing apparatus for wearing by a user and a processor connected to the wearing apparatus. The wearing apparatus is set with an inertial sensor for detecting user motion data. The processor is connected with the inertial sensor of the wearing apparatus. When the user's fall state is recognized, further obtaining the motion data of the user at the time of the stand by the inertial sensor and comparing the motion data according to a normal posture condition and/or an abnormal posture condition in a database to determine damage severity of the user.

Cardiac electrograms are recorded in a plurality of channels. Beats are classified automatically into respective classifications according to a resemblance of the morphologic characteristics of the beats to members of a set of templates. Respective electroanatomic maps of the heart are generated from the classified beats.

In the present invention, a system and associated method is provided for monitoring vital parameters of a patient. The monitoring system includes sensors disposed on the patient and operably connected to a monitor. The parameters that are sensed by the sensors are transmitted to the monitor and compared with alarm thresholds and operational criteria stored within the monitor. When an alarm condition is sensed by the system, the system can actively solicit patient assistance in the confirmation of the alarm condition based on a set of reactive inputs stored within the system to enable medical personnel to appropriately respond to clinically relevant sensed alarm condition(s).

An esophageal device is used to recognize, diagnose, characterize, or relieve an impact of an abnormal or defective UES anatomy, physiology, or functionality. In one implementation, the esophageal device measures a UES response to esophageal fluid infusion to detect or characterize an abnormality or defective UES anatomy, physiology, or functionality. An Upper Esophageal Sphincter compression device is used to increase intra-luminal pressure within the Upper Esophageal Sphincter of a patient in order relieve an impact of an abnormal or defective UES anatomy, physiology, or functionality.

A physiological sensor has light emitting sources, each activated by addressing at least one row and at least one column of an electrical grid. The light emitting sources are capable of transmitting light of multiple wavelengths and a detector is responsive to the transmitted light after attenuation by body tissue.

There is described a method and system for measuring a level of anxiety. Measured data comprising EEG data collected from a parietal (P) EEG electrode is received. A group 8 indicator based on a power, P-power (dt), associated with a delta-theta frequency band, dt, within a delta-theta frequency range is extracted. Based on said group 8 indicator, a level of anxiety, LoA, is determined which is a value indicative of the level of anxiety of the subject.

A bio-signal quality assessment apparatus may include: a bio-signal obtainer configured to obtain a bio-signal; and a processor configured to extract periodic signals from the obtained bio-signal, and determine a signal quality index based on at least one of similarity between the extracted periodic signals and signal variability of the obtained bio-signal.