9 results about "Respiratory monitors" patented technology

An acoustic respiratory monitoring system (105) detects, monitors, and / or tracks acoustic features of respiratory conditions for a human patient. Acoustic respiratory data is derived from breathing sound captured by a sensor array (410) comprising a plurality of acoustic sensor elements (412). A plurality of logical channels is determined based on the acoustic respiratory data. An adventitious feature is detected in the breathing sound using the plurality of logical channels, and an indication of an abnormal respiratory sound is provided via a user interface (800), in response to detecting the adventitious feature. The sensor array (410) may be integrated with a wearable article (560), such as a shirt, vest, or belt, for example.

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.

The invention discloses a non-contact respiration monitoring method based on Doppler radar, which relates to the technical field of respiration monitoring, and comprises the following steps: constructing a dual-band radar system containing 24-26GHz and 77-81GHz, the signal acquisition included angle of two modules being 30-60 degrees; the method comprises the following steps: preprocessing an original signal, eliminating power frequency interference by self-adaptive notch filtering, denoising a wavelet threshold, and smoothing a sliding window mean value; establishing a dual-band fusion model, taking a 24-26GHz signal period as an initial reference, extracting an instantaneous frequency from 77-81GHz signals through Hilbert transform, and obtaining a precise respiratory period through Kalman filtering; 5-10 periodic waveform features are extracted by using a convolutional neural network, and the respiratory rate, depth and rhythm stability are output in combination with a threshold value; and sound-light alarm and wireless data transmission terminal are realized in case of abnormity. The system is widely applied to the scenes of family health, hospital nursing, old-age care and the like, and has technical innovation and practical application value.

According to one embodiment, an imaging control system comprising: an X-ray imaging device; a respiratory monitor; and a control calculating device; the control calculating device comprising: a respiratory waveform divider to slice at least one of cycle and amplitude in a respiratory waveform of the respiratory motion included in the respiratory data into multiple specific fragments, an image data sorter to acquire a rotational angle indicating a rotational position of the rotating gantry from a gantry controller for controlling a rotation of the rotating gantry, and to sort the X-ray images contained in the image data every specific fragment into multiple X-ray images, and a three-dimensional reconstructor to reconstruct the multiple X-ray images categorized every specific fragment based on the rotational angle of the rotating gantry at shooting to generate multiple three-dimensional reconstructed images.

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.

The invention relates to the technical field of medical health, and discloses a radio frequency respiration monitoring management system which comprises a baseband signal processing module, a signal suppression module, a respiration characteristic analysis module and a respiration health evaluation module. The baseband signal processing module is used for receiving a radio frequency reflection signal of a target user in a monitoring area and carrying out fast Fourier transform processing on a baseband signal to obtain a distance-amplitude spectrum; the signal suppression module is used for extracting a baseband time domain signal within the optimal response distance and performing static clutter suppression processing on the baseband time domain signal to obtain a target signal; the breathing characteristic analysis module is used for identifying a low-frequency phase component generated by breathing movement of the target user so as to construct a time domain curve of chest displacement and analyze a breathing waveform of the target user; and the breathing health assessment module is used for assessing the breathing health level of the target user according to the breathing waveform so as to construct a breathing monitoring management report. According to the invention, the accuracy of respiration monitoring can be improved.

The invention relates to a neonatal respiration monitoring and resuscitation device and a control method, and the neonatal respiration monitoring and resuscitation device comprises a respiration mask assembly, a balloon assembly, a volume adjusting mechanism, an external driving mechanism and a controller; the balloon is communicated with a mask containing a pressure sensor through a one-way valve; the volume adjusting mechanism is arranged in the balloon, the effective air storage volume is controlled and changed through the volume of an adjusting body, and accurate in-situ adjustment of the tidal volume is achieved; the external driving mechanism wraps the periphery of the balloon, and the controller controls the extrusion frequency of the balloon to be synchronous with newborn breathing based on sensor signals. According to the respiratory monitoring resuscitation device and the control method, the problems that in the prior art, the tidal volume adjustment is rough, the ventilation rhythm is not matched, and man-machine confrontation is likely to be caused are effectively solved, and the safety, adaptability and effectiveness of neonatal resuscitation ventilation are remarkably improved.

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.

Disclosed is a bioimpedance measurement system: A stabilized high frequency current generator is connected to padset electrodes via a patient cable. Electrodes are connected to an adaptive circuit that conditions the resulting voltage signal and converts it to digital form. Firmware performs signal acquisition and relays data to the device.