Appropriate processing is executed in a method for excluding body motion data and image reconstruction according to a type and a characteristic of a body motion, so as to reduce an influence of the body motion, and prevent deterioration of image quality caused by exclusion of data generated during the body motion. An MRI apparatus includes a processing determination unit that collects k-space data and acquires body motion information from a sensor capable of detecting not only a respiratory motion but also general body motions, analyzes the body motion information obtained by the sensor, and branches and executes processing for subsequent data collection and image reconstruction according to the analysis result. The MRI apparatus determines, based on a temporal characteristic such as a duration and a frequency, and a spatial characteristic of the body motion, particularly a generation pattern in a k-space, body motion data to be excluded, and executes image reconstruction suitable for k-space data after exclusion of the body motion data.

An apparatus is suitable for measuring a photoplethysmogram (PPG). A photoplethysmographic sensor apparatus may include a casing defining a surface, a plurality of optical emitters configured to emit radiation extending from the surface, at least one photo sensor configured to capture radiation emitted by at least a subset of the plurality of optical emitters. At least a first measurement configuration and a second configuration is defined by the plurality of optical emitters and the at least one photo sensor such that the first and the second measurement configuration provide different measurement channels by including at least partially different sets of at least one optical emitter and at least one photo sensor. The first and second measurement configurations define different spatial configurations, each of which is line symmetric with respect to an imaginary line along the surface.

A measuring apparatus as an aspect of the present invention includes: a first signal acquirer that acquires a pulse wave signal of a living body; a second signal acquirer that acquires a body motion signal of the living body; a frequency analyzer that converts the pulse wave signal and the body motion signal to a frequency domain to generate frequency domain signals, and estimates a frequency of a pulse wave of the living body on the basis of the frequency domain signals; and a time domain analyzer that calculates biological information about the living body on the basis of the frequency.

Provided is an electronic device to monitor a user's biological measurements, where a sensor is configured to acquire a first signal from a user, and a diagnostic processor is configured to pre-process the first signal to generate a second signal, segment the second signal to form signal segments, determine at least one event location for each of the signal segments, match adjacent signal segments for feature alignment, and provide a third signal using results of the feature alignment.

A method for controlling a medical device may be provided. The method may include obtaining, via one or more cameras, first data regarding a first motion of a subject in an examination space of the medical device. The method may include obtaining, via one or more radars, second data regarding a second motion of the subject. The method may further include generating, based on the first data and the second data, a control signal for controlling the medical device to scan at least a part of the subject.

Physiological signal processing systems include a photoplethysmograph (PPG) sensor that is configured to generate a physiological waveform, and an inertial sensor that is configured to generate a motion signal. A physiological metric extractor is configured to extract a physiological metric from the physiological waveform that is generated by the PPG sensor. The physiological metric extractor includes an averager that has an impulse response that is responsive to the strength of the motion signal. Related methods are also described.

Provided are systems for measuring an electrocardiogram (ECG) using a wearable device. An example system includes the wearable device. The wearable device has a means for recording an electrical signal from a single wrist of a patient. The wearable device also has a means for detecting a pulse of the patient and recording a photoplethysmogram (PPG) signal, via a PPG optical sensor associated with the wearable device. The wearable device further has a means for generating the electrical signal segments being time-locked to the PPG signal by utilizing the PPG signal as a reference signal. Furthermore, the wearable device has a means for summing the electrical signal segments in a given time period and dividing by the number of segments to produce an average ECG waveform.

[Object] To provide an information processing apparatus, a biological data measurement system, an information processing method, and a program that can improve the accuracy of acquired biological data. [Solving Means] An information processing apparatus according to the present technology includes a body motion noise prediction unit and a control unit. The body motion noise prediction unit predicts, on the basis of a reference signal that is body motion information of a person to be measured detected by a reference signal sensor, that body motion noise caused by body motion of the person to be measured is added to a detection biological signal detected by a biological sensor from the person to be measured. The control unit controls signal processing of the detection biological signal on the basis of a prediction result of the body motion noise prediction unit.

According to an aspect, there is provided a computer-implemented method for determining a heart rate of a subject, the method comprising: receiving data representing a signal generated by a pressure sensor configured to be placed on a suprasternal notch of a subject, the data representing a first component of the signal comprising respiratory information associated with the subject and/or a second component of the signal comprising cardiac information associated with the subject; determining, by applying a first algorithm to the data, a respiration parameter of the subject; applying at least one filter to the data to obtain first filtered data, the at least one filter comprising a first filter to attenuate the first component of the signal in the data based on the determined respiration parameter; and determining a heart rate of the subject by applying a second algorithm to the first filtered data.

A biological information measuring apparatus includes a detector, a measuring unit, a calculator, and a determining unit. The detector detects pulse waves continuously. The measuring unit measures first biological information. The calculator calculates second biological information from the pulse waves based on the first biological information. The measuring unit suspends the measurement and resumes the measurement after a lapse of a period in a case where the determining unit does not determine that the result of measurement is normal, and the measuring unit continues the measurement in other cases where the body motion is not generated, the pulse waves are not irregular or the blood pressure value fails to vary.