A method intended for the evaluation of the quality of ratio of ratios (RR) values computed for at least two photoplethysmographic (PPG) signals corresponding to distinct wavelengths, each PPG signal including successive heartbeat patterns. The method includes the steps of: segmenting the PPG signals into a plurality of signal segments each corresponding to one heartbeat pattern; for each given signal segment, computing a sequence of RR values; and evaluating, for each given signal segment, a quality index of the sequence of computed RR values on the basis of a computed heart rate and/or a measured peripheral temperature corresponding to the given signal segment.

A biological information measuring device (100a) includes a light source configured to emit probe light; a total reflection member (16) configured to totally reflect the probe light with the total reflection member (16) brought into contact with a subject (S) to be measured; a light intensity detector configured to detect light intensity of the probe light reflected from the total reflection member (16); a biological information output unit (2a) configured to output biological information, the biological information being acquired based on the light intensity; and a display unit (506) configured to display the light intensity or an absorbance of the probe light, the absorbance being acquired based on the light intensity. Preferably a pressure detector is provided configured to detect a pressure of the subject (S) with respect to the total reflection member (16).

A system for differentiating between magnetic field distortion and physical movement in a hybrid magnetic and impedance tracking system can comprise a first drive patch and a second drive patch configured to generate an electrical field within the body for locating an electrode on the medical device, a magnetic localization system configured to generate a magnetic field, a magnetic sensor configured to receive signals from the magnetic localization system, and an electronic control unit configured to receive location data from the impedance localization system and magnetic sensor location data from the magnetic localization system. The electronic control circuit can be configured to detect a location change of the magnetic sensor and use the drive patch location data and magnetic sensor location data to determine whether the detected location change of the magnetic sensor is caused by a magnetic field distortion or a physical movement of the magnetic sensor.

Techniques are disclosed for detecting arrhythmia episodes for a patient. A medical device may receive one or more sensor values indicative of motion of a patient. The medical device may determine, based at least in part on the one or more sensor values, an activity level of the patient. The medical device may determine a heart rate threshold for triggering detection of an arrhythmia episode based at least in part on the activity level of the patient. The medical device may determine whether to trigger detection of the arrhythmia episode for the patient based at least in part on comparing a heart rate of the patient with the heart rate threshold. The medical device may, in response to triggering detection of the arrhythmia episode, collect information associated with the arrhythmia episode.

Certain aspects relate to systems and techniques for luminal network navigation. Some aspects relate to incorporating respiratory frequency and/or magnitude into a navigation system to implement patient safety measures. Some aspects relate to identifying, and compensating for, motion caused by patient respiration in order to provide a more accurate identification of the position of an instrument within a luminal network.

The present disclosure relates to a method and a system for detecting a neurological disease and an eye gaze-pattern abnormality related to the neurological disease of a user. The method comprises displaying stimulus videos on a screen of an electronic device and simultaneously filming with a camera of the electronic device to generate a video of the user's face for each one of the stimulus videos, each one of the stimulus videos corresponding to a task. The method further comprises providing a machine learning model for gaze predictions, generating the gaze predictions for each video frame of the recorded video, and determining features for each task to detect the neurological disease using a pre-trained machine learning model.

A monitoring system configured to measure the user's health-related parameters while in a certain state is disclosed. Based on whether the user is in the certain state and/or one or more criteria being met, the monitoring system can perform a physiological measurement such as a blood pressure measurement. The monitoring system can be capable of dynamically adjusting the measurement parameters, criteria, and acquired information based one or more scalers. The criteria can be based on user states or conditions such that user disruptions can be reduced and the measurement accuracy and/or efficiency can be enhanced. The monitoring system can also measure the user's parameters during the measurement and may abort the measurement if the measurement may not have accurate information and/or to reduce any disruption to the user. Alternatively, the measurement can be annotated so that the measurement can be used during data interpretation with certain qualifiers attached.

An electrocardiogram signal processing apparatus includes a controller and a communication unit transmitting an electrocardiogram signal. The controller is configured to (i) extract points satisfying a determined standard from the electrocardiogram signal and convert the extracted points into a two-dimensional graph expressed as frequencies for a plurality of class sections, (ii) generate a cumulative graph in which an order of the plurality of class sections is rearranged in an order of magnitude of the frequencies, and (iii) calculate a Gini index based on the cumulative graph and determine whether the electrocardiogram signal is an abnormal signal by using the Gini index.

An ear device for arrangement at an ear of a person and provided with at least two electrodes for having skin contact and detecting a bioelectrical signal when in use, the ear device includes a deformable ear canal part adapted to be arranged in an ear canal of the person, and an external ear part adapted to be arranged at the ear external to the ear canal and being provided with at least one external ear electrode for detecting a bioelectrical signal, the external ear part includes at least one bendable arm which is connected to the ear canal part and is adapted to exert a pressure such that the at least one external ear electrode is pressed against the skin when in use.

A motion data processing method and a motion monitoring system provided in the present disclosure may process an electromyography (EMG) signal in the frequency domain or time domain to identify an abnormal signal in the EMG signal, such as an abrupt signal, a missing signal, a saturation signal, an oscillation signal, etc. caused by a high-pass filtering algorithm. The motion data processing method and the motion monitoring system may further perform a data sampling operation on the EMG signal through a data sampling algorithm, and predict data corresponding to the time point when the abnormal signal appears based on the sampling data, so as to obtain prediction data, and replace the abnormal signal by using the prediction data to correct the abnormal signal. The motion data processing method and the motion monitoring system may not merely accurately identify the abnormal signal, but further correct the abnormal signal, so that the corrected data may be more in line with an actual motion of a user, thereby improving user experience.