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3 results about "Respiratory monitors" patented technology

Radar breath monitoring controllable data enhancement method based on parameterized environment modeling

ActiveCN122074944BData setRespiratory signal
The present application relates to the technical field of digital health, wireless sensing, signal processing and artificial intelligence, in particular to a radar respiratory monitoring controllable data enhancement method based on parameterized environment modeling. The data enhancement method first acquires a pure radar respiratory signal, constructs four types of models with physical constraint coupling and corresponding parameter space, and calculates the true value of each interference. Then, according to the physical mechanism, the noise signal is synthesized by convolution / time-varying filtering, phase modulation and additive superposition operators to form a four-tuple data containing the pure radar respiratory signal, the noise signal, the true value of the interference and the model parameters. After generating a batch of data sets, multi-level physical fidelity verification is carried out, and if it does not meet the standard, the parameters are adjusted: scene fingerprints are extracted from real monitoring data to obtain parameter adjustment and update the parameter space. The present application solves the problems of missing physical modeling and unreasonable synthesis mechanism, effectively improves the simulation data precision, model generalization ability and respiratory monitoring robustness.
Owner:ANHUI UNIV

A multi-degree of freedom active respiratory compensation system and method for spinal surgery

ActiveCN121129431BSpinal columnRespiratory compensation
The present application relates to a kind of multi-degree-of-freedom active respiratory compensation system and method for spinal surgery, system includes the spinal column connecting module for being rigidly connected with the spinous process of the specific segment of the spine of patient and the operation execution module, the trajectory data of the spinous process of the specific segment with periodic respiratory movement is acquired and stored in motion learning and storage module, for gathering the respiratory monitoring module of patient respiratory phase signal, for according to the respiratory monitoring module patient respiratory phase signal gathered, the control module for generating compensation control instruction by calling pre-stored trajectory data, and for according to the compensation control instruction, relevant action is executed, so that the operation execution module is displaced with the spinous process of the specific segment movement synchronization displacement compensation execution module;The compensation degree of freedom of compensation execution module includes translation along Z axis and Y axis and rotation in XZ plane and YZ plane.The present application does not rely on external navigation system, realizes efficient and accurate compensation, and structure is simple, low in cost.
Owner:HUNAN UNIV

Lung function monitoring from heart signals

ActiveUS12672783B2Nerve networkTidal volume
A breathing monitor has ECG, PPG, or bioimpedance sensors feeding a neural network to provide inspiratory and expiratory phases of breathing and tidal volume (TV), filters for the inspiratory and expiratory phases of breathing and TV; and apparatus configured to provide measurements of breathing rate (RR), and fractional inspiratory time (FIT). In embodiments, the device uses the RR, FIT, and TV to estimate spirometric parameters such as lung obstruction severity, forced expiratory volume in one second (FEV1), forced expiratory volume (FEV), forced vital capacity (FVC), FEV1 / FEV ratio, and FEV1 / FVC ratio. A method of determining a classification of lung obstruction from heart signals includes feeding heart signals into a neural network to determine TV and inspiratory and expiratory classes used to determine FIT and RR; and using FIT, RR, and TV to determine lung obstruction classification of mild, moderate, severe, or very severe obstructive symptoms.
Owner:TRUSTEES OF DARTMOUTH COLLEGE THE