A magnetic resonance imaging (MRI) system, method and/or computer readable medium is configured to effect magnetic resonance angiography (MRA) images with reduced motion artifacts includes acquiring a plurality of k-space data sets by traversing a plurality of radial trajectories in three-dimensional (3D) k-space, generating a plurality of 3D MR images derived from k-space populated by the k-space data sets, aligning the 3D MR images with respect to each other, determining one or more motion parameters for the object based upon the aligning, modifying values of k-space data sets using the determined one or more motion parameters, generating a motion-corrected 3D MR image from a combination of acquired k-space data sets including the modified values.

A vital signs measurement system includes a plurality of light sources emitting into a subject's skin. A plurality of photo sensors receives lights reflected from the subject's skin and converts the lights to a plurality of signals. A processing module receives the plurality of signals and transforms the plurality of signals to a PPG signal by analyzing a correlation coefficient between every two ones of the plurality of signals. The vital signs measurement system improves the measurement accuracy of the physiological information of the participant by the correlation coefficient.

Systems, methods and devices for reducing noise in health monitoring including monitoring systems, methods and/or devices receiving a health signal and/or having at least one electrode or sensor for health monitoring.

A method and system for determining blood pressure are disclosed. The method comprises determining a plurality of heart sounds using a microphone of a handheld device and determining a pulse wave using a camera of the handheld device, wherein the plurality of heart sounds and the pulse wave are utilized to determine the blood pressure. The system includes a processor, a memory device coupled to the processor, and an application coupled to the memory device. The system further comprises a microphone coupled to the processor, wherein the microphone is utilized to determine a plurality of heart sounds and a camera coupled to the processor, wherein the camera is utilized to determine a pulse wave, further wherein the application, when executed by the processor, causes the processor to determine the blood pressure using the plurality of heart sounds and the pulse wave.

A respiratory monitoring apparatus comprises at least one motion sensor and a processing device. The at least one motion sensor senses an angular motion of a measured part capable of indicating a respiratory motion, and outputs an angular velocity vector of the measured part; the processing device, connected to the motion sensor, extracts a respiratory angular velocity from the angular velocity vector, and acquires a respiratory wave according to the respiratory angular velocity.

Embodiments provide a method for denoising time series images of a moved structure for a medical device. A movement detector detects the moved structure. The movement detector obtains a measurement of the similarity of two images that each represent the same section of the moved structure. The two images originate from two different time series images. A ratio between spatial and temporal denoising is defined for the section as a function of the measurement of the similarity.

A tremor-reduction system is provided that delivers electric current to a body region of a subject that is associated with a tremor. A computing device stores received data associated with a tremulous movement of the body region and determines measurements associated with the stored data. If a magnitude of the most recent tremulous movement is the same as or greater than magnitudes associated with prior tremulous movements, characteristics of a subsequent electric current to be applied to the body region may be adjusted.

A monitoring apparatus includes a wearable electronic device having an audio port and a headset having at least one earbud, at least one physiological and/or environmental sensor, and circuitry that processes signals produced by the at least one physiological and/or environmental sensor and transmits the processed signals to the electronic device via the audio port. The headset may include a microphone in audio communication with the electronic device via the audio port, and the circuitry modulates audio signals produced by the microphone and signals produced by the at least one physiological and/or environmental sensor for transmission to the electronic device via the audio port. The circuitry may power the at least one physiological and/or environmental sensor via power supplied by the electronic device through the audio port and may include a processor that coordinates collection, modulation, and/or transmission of signals produced by the at least one physiological and/or environmental sensor.

The invention is a method for estimating a cardiac frequency via the detection of radiation backscattered or transmitted by a bodily zone. The part is illuminated, simultaneously or successively, by light radiation extending over a first spectral band and a second spectral band. A photodetector detects radiation emitted by the bodily zone under the effect of its illumination, in each of the spectral bands. A first detection function and a second detection function are formed from the radiation detected in each spectral band, respectively. The method allows the cardiac frequency to be determined via the determination of characteristic instants that are identified from the first detection function and the second detection function simultaneously.

An evoked potential measuring apparatus includes: an evoked potential acquiring section which is configured to acquire a plurality of evoked potential waveforms from a subject in response to stimulation; an average processing section which is configured to arithmetically average the plurality of evoked potential waveforms to acquire an average waveform; a first statistical value calculator which, each time a waveform set including an N (N is 2 or more) number of evoked potential waveforms is acquired, is configured to calculate a first statistical value of the waveform set; and an updation processing section which is configured to update the average waveform to eliminate a waveform set in which the first statistical value exceeds a first threshold, from the arithmetic average.