Various examples are provided for non-contact vital sign acquisition. Information can be provided regarding vibrations of a target using a radar signal such as, e.g., non-contact vital sign measurement. Examples include estimation of heart rate, change in heart rate, respiration rate, and/or change in respiration rate, for a human or other animal. Implementations can produce one or both rates of vibration and/or change in one or both rates of vibration for a target other than an animal or human experiencing two vibrations at the same time, such as a motor, a vehicle incorporating a motor, or another physical object. Some implementations can estimate the respiration movement in the radar baseband output signal. The estimated respiration signal can then be subtracted from radar signals in the time domain and, optionally, can be further enhanced using digital signal processing techniques, to produce an estimate of the heartbeat pulses.

A heart beat detection device comprises at least one optical reflection sensor to be positioned on the skin of a person. The sensor unit is provided with a light emitter and a corresponding light receiver which converts the light reflected by the skin into an electric signal and comprises electrically adjustable optical filters connected to the emitter, to the receiver or to both of them in order to select, upon operation, a desired light wavelength and perform processing of the signals thus obtained in order to reinforce the heart beat signal. A system with this device and a detection method are also described.

A method for detecting the presence of slowing patterns in an EEG sample comprising a plurality of channels of EEG signals, each channel comprising one or more segments, the method comprising: obtaining a first classifier that is trained to classify EEG samples as containing abnormal slow waves or not; performing a sequence of artifact removal processes on the EEG sample to generate a preprocessed EEG sample; extracting a first feature set from the preprocessed EEG sample; and passing the first feature set to the first classifier to predict whether the EEG sample contains abnormal slow waves or not; wherein the sequence of artifact removal processes comprises removal of one or more ocular artifacts and removal of one or more electrode artifacts.

A method and apparatus for pre-processing a photoplethysmogram (PPG) signal include receiving, by an apparatus, the PPG signal including a plurality of pulses, obtaining, by the apparatus, a smoothed PPG signal based on smoothing the PPG signal using a moving average filter, obtaining, by the apparatus, a drift removed PPG signal based on removing drift from the smoothed PPG signal using a fitted polynomial function, and obtaining, by the apparatus, a rectified PPG signal based on correcting a motion artifact of the drift removed PPG signal by replacing each of the plurality of pulses using a combination of a global signal pulse and a corresponding local signal pulse.

A sensor data correction system, includes: a standard motion mechanism unit for performing a standard motion of a wearable sensor; a determination unit calculating a relationship between first sensor data that is sensed by a first wearable sensor provided with the standard motion mechanism unit and second sensor data that is sensed by a second wearable sensor provided with the standard motion mechanism unit; and a correction unit correcting the first sensor data or the second sensor data, on the basis of the relationship that is calculated by the determination unit.

Systems, methods, and devices for automatic generation of a stimulation therapy that mimics electrographic activity in the brain at natural seizure termination define a stimulation therapy to be generated by an implanted component of a medical device system and delivered to a subject through identifying data characterizing a patient's seizures, especially at termination. A machine learning model identifies the seizures or seizure types from which to establish a canonical seizure or seizure type, and an algorithm translates the canonical seizure or seizure type into data that can be used to characterize a stimulation therapy. The systems, methods, and devices, include those configured to deliver the stimulation therapy that emulates the canonical seizure or seizure type when the seizure is detected, with the aim of terminating the seizure sooner than it would terminate without intervention.

Representative methods, apparatus and systems are disclosed for blood pressure and other vital sign monitoring using arterial applanation tonometry, including ambulatory blood pressure and other vital sign monitoring. A representative system comprises a wearable apparatus. The various embodiments measure blood pressure and other vital sign monitoring using a plurality of pressure sensors of a pressure sensor array, with one or more of the pressure sensors 140 applanating an artery, such as a radial artery. In a first embodiment, a pressure sensor signal is utilized which has the highest cross-coherence with the signals of its nearest pressure sensor neighbors of the pressure sensor array. In a second embodiment, Kalman filtering is utilized for the pressure sensor signals from the pressure sensor array.

The present disclosure provides a vital sign measuring device and method that may measure a heart rate signal of a living body in a motion state. The method comprises detecting two different signals, using an adaptive noise removal algorithm for removing noise from the two signals, and obtaining a more accurate heat rate signal after a certain operation.

A mm-wave system includes transmission of a millimeter wave (mm-wave) signal by a plurality of transmitters to multiple objects, and receiving of return—mm-wave signals from the multiple objects by a plurality of receivers. A processor is configured to perform an algorithm to derive complex-valued samples and angle measurements from each receiver to identify one object from another object. The processor further extracts signal waveforms that correspond to each object and process the extracted signal waveforms to estimate breathing rate and heart rate of the identified object.

Hyperspectral, fluorescence, and laser mapping imaging with a minimal area image sensor are disclosed. A system includes an emitter for emitting pulses of electromagnetic radiation and an image sensor comprising a pixel array for sensing reflected electromagnetic radiation, wherein the pixel array comprises active pixels and optical black pixels. The system includes a black clamp circuit providing offset control for data generated by the pixel array. The system is such that at least a portion of the pulses of electromagnetic radiation emitted by the emitter comprises one or more of: electromagnetic radiation having a wavelength from about 513 nm to about 545 nm; electromagnetic radiation having a wavelength from about 565 nm to about 585 nm; electromagnetic radiation having a wavelength from about 900 nm to about 1000 nm; an excitation wavelength of electromagnetic radiation that causes a reagent to fluoresce; or a laser mapping pattern.