15 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.

The present application relates to an intelligent reminder and monitoring respiratory function exerciser. The present application actively sets the respiratory monitoring indicators of the respiratory module and visually displays the patient's respiratory monitoring indicators through a display. At each breath, the respiratory quantification module can also quantify and display the respiratory volume corresponding to the respiratory data through a preset respiratory scale, so that the patient's respiratory volume each time is reflected by the scale, providing the patient with an intuitive rather than digital respiratory monitoring method, facilitating interaction with the patient and reminding the patient whether the respiratory volume reaches the respiratory threshold set on the respiratory quantification module according to the interval respiratory volume P. The application can timely monitor the patient's respiratory indicators and actively remind the patient to perform respiratory exercises. The patient's respiratory condition is monitored based on various respiratory monitoring indicators, and the patient is intelligently reminded to actively track the exercise to avoid unclear duration, standardize the patient's recovery time and hospitalization time, and facilitate the hospital's bed turnover.

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.

Provided is a respiratory monitor device, relating to the field of medical devices. The respiratory monitor device comprises an external pipe and a monitor, and the external tubing is detachably connected to the monitor; the external tubing is provided with an air inlet and an air outlet, the air inlet is communicated with the air outlet by means of a cavity of the external tubing, and the external tubing comprises a plurality of first through holes; the monitor comprises a plurality of second through holes, the plurality of first through holes and the plurality of second through holes are communicated in one-to-one correspondence when the external tubing and the monitor are connected, and the monitor is used for detecting gas entering the monitor from the through holes.

The invention relates to the field of neonatal care, in particular to a neonatal care incubator based on intelligent sensor recognition. The control machine is provided with a sinking groove structure for increasing the vertical space in the incubator cabin, an electrically-controlled inflation and deflation machine arranged in the control machine inflates the bolster air bag and the supporting air bag at the same time, the inflated supporting air bag turns up the head area of the nursing tray upwards by a large angle, the leg area of the nursing tray enters the sinking groove structure, and therefore the nursing tray can be used for nursing. Meanwhile, a nurse lifts the newborn in the nursing tray to be in a sitting and holding posture of lying on the pillow air bag, hiccup beating nursing work can be completed more easily, the respiratory rhythm of the newborn is monitored in the whole process through a respiration monitor connected with the medical health big data sharing platform, and whether the hiccup beating nursing work needs to be conducted on the newborn or not is intelligently judged. The technical problem that the work difficulty is large when nursing personnel carry out hiccup beating nursing on a newborn in an incubator cabin is solved.

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 present invention discloses a control method for a respiratory monitor combined with sleeping posture analysis, which relates to the technical field of respiratory monitoring devices. A cascaded sensor is introduced to determine the sleeping posture variable by collecting the state of the target user, interactively record the respiratory monitoring and explore the relative relationship between the sleeping posture - monitoring control conditions. An adaptive control module is developed in the control system of the respiratory monitor, with the sleeping posture variable as the regulation target, execute the adjustment decision based on the adaptive control module, trigger the acquisition of the conditional signal of the target user, determine the respiratory signal, transmit the respiratory signal back and perform histogram segmentation and counting, determine the respiratory state and perform feedback response control on the respiratory monitor. It is used to solve the technical problem of how to introduce sleeping posture analysis in respiratory monitoring and achieve precise adaptive control in the prior art. It realizes the adaptive respiratory monitoring regulation based on the user's posture, and can effectively improve the adaptability and accuracy of the monitoring.

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 the technical field of veterinary electrocardiogram and respiration monitors, in particular to a wearable veterinary electrocardiogram and respiration composite monitor which comprises a monitor shell, a plurality of bandages are rotationally connected to the monitor shell, a monitoring frame is arranged on the monitor shell, and an annular frame is arranged in the monitor shell. A rotating frame is arranged on the annular frame in a sliding fit mode, a driving mechanism is rotatably connected to one side of the rotating frame, a hair treatment mechanism is fixedly connected to the bottom of the rotating frame, and an air guide pipe is fixedly connected to the other end of the rotating frame. Interference caused by hair is reduced, it is ensured that the sensor is in close contact with the skin all the time, stability and accuracy of monitoring data are kept, the monitoring data are made to be purer, diagnosis reliability is improved, and the effect and convenience of animal health monitoring can be effectively improved.

The invention discloses an automatic control antiphase synchronous breathing assistance method and equipment, and the method comprises the steps: receiving a breathing process signal of a breathing monitor, tracking in-bag pressure data of a chest inflation and deflation bag in real time, obtaining an in-bag pressure change rule in a single breathing process, and carrying out antiphase synchronous breathing assistance by utilizing the in-bag pressure change rule. Or the change rule of the rotation time, the rotation direction and the rotation speed of the inflation and deflation motor along with the time is obtained through analysis of the change rule of the pressure in the bag, and reverse-phase synchronous assisted respiration is conducted according to the rule of the inflation and deflation motor; the equipment comprises a respiration monitor and a chest inflation and deflation bag, the inflation process corresponds to the expiration process of a patient, the deflation process corresponds to the inspiration process of the patient, and an intra-bag pressure monitoring structure is used for monitoring intra-bag pressure in real time; the air bag is inflated and deflated through the inflation and deflation motor, the control device is used for conducting reverse-phase auxiliary respiration according to the method, real-time monitoring in the respiration process can be avoided through the reverse-phase respiration auxiliary equipment, and a patient with the independent consciousness can conduct normal language communication and diet.

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.