48 results about "Abnormal breathing" patented technology

A device and method for monitoring and analyzing breathing sounds, the device including at least one microphone adapted and configured for placement adjacent a body to be monitored for contactless recording of breathing sounds, a motion detector using an ultrasound distance sensor to detect the patient body motions, and a processor coupled to the microphones and the motion detector for receiving and processing the breathing sounds and patient motions to detect abnormal breathing events.

The invention discloses a radar-based non-contact human body breathing detection method and a radar-based non-contact human body breathing detection device. An intelligent algorithm is used to discriminate the motion posture of a vital sign target in a detection area, and when a human body target is determined in a quiet state, the respiratory detection is started, and a respiratory value is output. In the event of respiratory abnormality, an alarm message is sent to notify the family member or the nursing staff in time, so that the people can be promptly treated, the reliability of the respiratory detection is remarkably improved, and the technical problem that the current non-contact detection breathing method cannot determine and detect the target state of the human body can be solved;by performing a wavelet analysis algorithm, time-domain peak finding and downsampling processing on the sampled echo signals, a respiratory signal can be accurately identified and the respiratory frequency can be obtained, and the method has the advantages of high accuracy and strong real-time performance.

The invention provides a body temperature and respiration data acquisition system, method and device for people wearing masks. The system comprises an image acquisition subsystem which employs a bimodal camera to obtain an RGB video and an infrared thermal imaging video of a human face, an area acquisition module of a health index calculation subsystem which acquires a forehead area and a breathing area from the RGB video and the infrared thermal imaging video of the human face, a data calculation module of the health index calculation subsystem which calculates corresponding body temperatureand breathing data from the forehead area and the breathing area and transmits the data to the health evaluation subsystem, and a health assessment subsystem which processes the body temperature and respiration data to obtain a corresponding data assessment result. According to the system, breath detection and screening can be carried out while the body temperature is detected, abnormal breath conditions are taken into consideration of health assessment, and people with abnormal breath can be identified in time, so spread of infectious respiratory diseases in public places can be prevented toa certain extent.

An improved patient interface assembly and pressure support system integrate a pressure sensor and a valve into the patient interface assembly and employs closed loop control between the sensor and the valve in order to limit delay between the time at which a condition indicative of abnormal breathing or flow load during normal breathing is experienced by a patient and the time at which altered pressure support is received by the patient.

The invention provides a spontaneous breathing apparatus. The spontaneous breathing apparatus is used for solving problems of easiness in causing error signals during monitoring and incapability of automatically stimulating spontaneous breathing during disordered breathing in the prior art. The spontaneous breathing apparatus is a device for stimulating spontaneous breathing during apnea and comprises a sensing device, a control device and a stimulating device. Breathing signals and / or heart rate signals of a human body are collected by the sensing device, are transmitted to the control device by the sensing device and are filtered, amplified, converted, analyzed, processed and judged by the control device, and a newborn baby is stimulated to regain consciousness by the stimulating device under the control of the control device when the newborn baby stops breathing for the time longer than or equal to 20 seconds or when the newborn baby stops breathing for the time shorter than 20 seconds and the heart rate of the newborn baby is reduced and is lower than 100 times per minute, so that the newborn baby can spontaneously breathe, and asphyxiation hazards of the newborn baby can be prevented; the stimulating device stops stimulating the newborn baby under the control of the control device after the newborn baby spontaneously breathes. The spontaneous breathing apparatus has the advantages that the spontaneous breathing apparatus is provided with the sensing device without wires, so that error signals due to dropping of electrode plates can be prevented, and the newborn baby can be automatically stimulated to spontaneously breathe by the stimulating device during disordered breathing.

The invention discloses a non-contact breathing real-time monitoring method. The method comprises the following steps: S1, acquiring electromagnetic echo data in real time by utilizing a millimeter-wave radar, and extracting time distribution and space distribution of objects in a surrounding environment according to echoes; S2, judging the range and distribution of the human body according to thetime difference data, and extracting a key peak point; and S3, calculating a breathing movement waveform and breathing frequency according to the phase of the key peak point, and calculating an abnormal index. The non-contact breathing real-time monitoring method disclosed by the invention can measure and output the breathing physiological behaviors of a monitored object in real time and can be applied to detecting the breathing frequency of a user and monitoring and alarming abnormal breathing. The method is easy to install and convenient to use, can output the breathing waveform of the userin real time with high precision and analyze breathing abnormality, and has high reliability and good popularization prospects.

The invention provides a method for improving abnormal sleep breathing pattern and improving sleep quality and a corresponding device. According to the method, a flexible pressure distribution sensingdevice arranged on the pillow is used to determine pressure distribution of the head and the neck when a sleeper lies down, so that possible sleeping postures of the sleeper are deduced; meanwhile, respiratory audio signals of the sleeper in the sleeping period are detected and analyzed, so as to deduce whether the sleeper has related physiological phenomena of obstructed respiratory abnormalities such as severe snoring or respiratory apnea symptoms. In combination with the possible sleeping postures and the abnormal respiratory phenomena, the postures of the head and neck of the sleeper areadjusted by means of the pillow capable of automatically adjusting the shape, so that the posture of the sleeper is changed, muscles of the sleeper are relaxed, the respiratory tract of the sleeper isunblocked, and the purpose of good sleeping quality is achieved.

Embodiments provide a system to detect abnormal breathing by a person, such as a baby, through a piece of clothing worn by the person. The piece of clothing may be adapted to include a sound sensor that can collect breathing sounds by the person. The piece of clothing may also be adapted to include an inflatable neck support that can be automatically inflated without the person's intervention. The breathing sound signals by the person can be processed for determining whether the person breathing abnormally. When it is determined that the person is breathing abnormally, an instruction to inflate the inflatable neck support of the clothing may be generated. Such an instruction can be transmitted to the clothing wirelessly to effectuate the inflation of the inflatable neck support so the person's incorrect breathing posture that causes the abnormal breathing can be addressed.

The invention relates to a nano respiration sensor and a preparation method thereof, and belongs to the technical field of sensors. The nano respiration sensor comprises a sensing unit and a constant voltage sensing circuit, wherein one end of a sensing unit microelectrode pair is connected with a constant voltage power supply, and the other end of the sensing unit microelectrode pair is connected with an amplifier; current is connected to a singlechip microcomputer through an analog / digital converter after being amplified, and signals can be stored by a memory after being processed and can be displayed by a liquid crystal display. When breathing air flow flows through a zinc oxide nanowire, the conductivity of zinc oxide changes, so that the nano respiration sensors of different breathing frequencies and intensities can be monitored, and a sound and light alarm for abnormal breathing can be given. The nano respiration sensor provided by the invention has the beneficial effects of simple device structure, low preparation cost, mass production, low working voltage, low power consumption, safety and reliability, high response speed, high sensitivity, and strong anti-interference capability. The nano respiration sensor is completely in no contact with the human body, and has high comfort in use.

The invention provides a respiration device. The respiration device comprises a respiration module, a control module, a central processing unit, a starting module, a power source management module, asensor module, a sensor signal processing module and an alarm module. The respiration device can be intelligently adjusted for switching of starting and closing, the dependence of a patient on respiration equipment is lowered, the function of the respiratory system of the patient is maintained, and rehabilitation of the patient is improved; the discomfort and foreign body sensation of the nasal cavity of the patient are lowered; the heart of the patient is prevented against additional fatigue due to wakening, the sleep continuity of the patient is not damaged, and the sleep quality of the patient,the harmony of a sleeping partner of the patient,deep sleep of the patient and the power using efficiency areimproved; the sensor precision and wearing comfort of monitoring of abnormality of respiration of the patient are improved, and it is promoted that a data processing circuit precisely, timely and completely processes a data signal; the flexibility of selection of the sleep site and thesleep time of the patient is improved, and hidden danger against life safety of the patient brought by electricity shortage can be lowered.

The invention relates to a wearable respiration detection and protection device. The device comprises a body, a main control module and a respiration monitoring module; the respiration monitoring module comprises a temperature sensor; the body is provided with an air valve window, and the temperature sensor is arranged on the air valve window so as to generate real-time sensing data according to a condition of gas exhaled and inhaled by a human body; the main control module is used for judging the breathing condition of the human body according to the real-time sensing data generated by the temperature sensor. The device can be used for real-time respiration monitoring of general people, can also be used for real-time respiration monitoring of respiratory tract infected people, and can determine whether monitoring data are abnormal or not, so that timely processing can be carried out when respiration abnormity occurs.

The invention provides a transformer with a breathing monitoring control function. A main gas circuit is mounted on a breathing apparatus, and a drying cavity and an air control valve are arranged onthe main air path. When the transformer is heated to expand, redundant air in an oil conservator is exhaled through the main air path, and when the oil temperature of the transformer is reduced, air is sucked in through the main air channel, and the sucked air passes through the drying cavity to be dried and then enters the transformer. A processor is connected with a transformer oil temperature detection module to obtain the oil temperature information of the transformer in an operation state and store the oil temperature information in a memory, meanwhile, when the monitored oil temperatureexceeds a preset threshold value, a valve control circuit is connected with the air control valve to control the air control valve to be opened, so that the transformer exchanges air. According to theinvention, the problem that the breathing state of the transformer cannot be effectively monitored is solved, the breathing state of the transformer is monitored, and alarm processing is carried outwhen abnormal breathing, abnormal oil level and other conditions are judged.

The invention discloses a non-contact apnea detection device and method. According to the apnea detection device, the method comprises the steps of shooting a breathing video containing the chest andthe abdomen of a detected person in a sleeping or quiet state through a camera; performing spatial pyramid decomposition on the video; decomposing a pyramid layer of an interested area, respectively carrying out time domain band-pass filtering on the decomposed pyramid layer to obtain a frequency band related to thorax and abdomen breathing actions, amplifying a signal of the frequency band, extracting brightness information of pixel points of the amplified interested area, calculating a breathing rate, and judging normal breathing and abnormal breathing states by setting a dynamic threshold value of the brightness information. Therefore, all apnea states of the examinee in the shot video can be correctly judged. According to the invention, the respiratory rate of the photographed person can be correctly detected through the photographed video image in the sleep or quiet state of the human body, and whether apnea occurs in the video recording period or not can be correctly judged.

The invention relates to an automatic sleep breathing abnormality screening method. Firstly, a PPG signal preprocessing method based on a Chauvenet criterion is provided to judge invalid PPG signals, secondly, a sleep breathing abnormality screening model based on BiLSTM is provided, the model is improved, so that the problems of gradient disappearance and the like can be effectively solved, and information before and after the PPG signals can be fully utilized for calculation, so that the accuracy of the model is improved.

The invention discloses an intensive medical patient monitoring system, which comprises an information acquisition module, a signal sampling module, a positioning identification module and a database, and is characterized by further comprising a first control unit, a second control unit, a third control unit, a threshold module and a first-aid control module, so that more than four high-level time periods appear within 5 minutes per unit time, and the first-aid control module is used for controlling the first-aid control module. If the time period is longer and longer, an early warning condition is triggered, when phenomena of abnormal breathing or sudden cardiac arrest and relatively high body temperature rise occur, the vital sign electric signal A of the critical patient reaches a threshold value, emergency early warning directly occurs, and after the critical medical patient goes through the early warning condition, the vital sign electric signal A of the critical patient reaches the threshold value within extreme time, and the critical medical patient goes through the early warning condition. And emergency early warning is triggered, so that the change of the signal is further monitored in advance in real time, the critical medical patient is intervened and rescued in advance, and more possible time is won for rescue of doctors.

Proposed are concepts for monitoring abnormal respiratory events of a subject which leverage data from a sensor system. Proposed concepts may employ data acquisition from the sensor system at two different frequencies. For instance, a first, lower frequency may be used to acquire data from which an abnormal respiratory event (such as a cough or wheeze) of the subject may be detected. In response to detecting an abnormal respiratory event, a second, higher frequency may be used to acquire data to facilitate more detailed analysis and / or monitoring of the subject's respiration. In this way, low frequency data acquisition, which may be less accurate but consume less power, may be used to firstly detect an abnormal respiratory event. Once an abnormal respiratory event detected, data acquisition may be switched to a higher frequency, so as to obtain more detailed (e.g. higher resolution) information about the respiration.

The embodiment of the invention provides an abnormal breathing alarm detection method and system. The method comprises the steps that heart rate parameters, respiration parameters and body moving parameters of a monitored user are obtained; according to the respiration parameters, if it is judged that abnormal breathing of the monitored user is informed, respiratory warning is triggered; accordingto the respiration parameters and the body moving parameters, sleep analysis is conducted, and a first analysis result is obtained; according to the respiration parameters, the body moving parametersand the heart rate parameters, sleep analysis is conducted , and a second analysis result is obtained; according to the first analysis result and the second analysis result, if it is judged that it is informed that the monitored user is in an independent pranayama state, respiratory warning is eliminated. The system is used for executing the method. Accordingly, abnormal breathing is judged according to the respiration parameters, and respiratory warning is triggered; according to the respiration parameters, the body moving parameters and the heart rate parameters, the first analysis result and the second analysis result are obtained, if it is judged that the monitored user is in the independent pranayama state, respiratory warning is eliminated, and then the false alarm rate is lowered.

Embodiments provide a system to detect abnormal breathing by a person, such as a baby, through a piece of clothing worn by the person. The piece of clothing may be adapted to include a sound sensor that can collect breathing sounds by the person. The piece of clothing may also be adapted to include an inflatable neck support that can be automatically inflated without the person's intervention. The breathing sound signals by the person can be processed for determining whether the person breathing abnormally. When it is determined that the person is breathing abnormally, an instruction to inflate the inflatable neck support of the clothing may be generated. Such an instruction can be transmitted to the clothing wirelessly to effectuate the inflation of the inflatable neck support so the person's incorrect breathing posture that causes the abnormal breathing can be addressed.

The embodiment provides a medical image processing apparatus, an X-ray CT apparatus, and a medical image processing method capable of detecting a region of a lung having abnormal breathing function with high precision. The medical image processing apparatus of embodiments includes processing circuitry. The processing circuitry extracts plural regions corresponding to at least one of a lobe and a subsegment forming a lung from three-dimensional medical-image data that is acquired by imaging in temporal order. The processing circuitry calculates a physical index relating to respiratory activityfor each of the extracted regions. The processing circuitry detects an abnormal region having an abnormality relating to the respiratory activity out of the regions by comparing temporal changes of the physical index of the respective regions. The processing circuitry outputs information indicating about the abnormal region.

The invention relates to the technical field of respiration monitoring, and discloses a wavelet analysis-based respiration abnormity monitoring method, which comprises the following steps of: designing a humidity sensor, and monitoring a respiration waveform signal of a user by utilizing the humidity sensor; fitting the breathing waveform signal by using a fitting method based on an interpolation function, and determining a frequency band boundary of the breathing waveform signal; designing a wavelet filter according to the determined frequency band boundary, and performing adaptive decomposition processing on the respiratory waveform signal by using the wavelet filter to obtain an adaptive decomposition signal; performing noise reduction processing on the self-adaptive decomposition signal by using a wavelet threshold function to obtain a noise reduction signal; and using a random forest model to perform respiratory anomaly identification monitoring on the denoised respiratory signal. The invention further provides a wavelet analysis-based respiration abnormity monitoring method. According to the invention, abnormal breathing monitoring is realized.

The invention discloses a sleep breathing data monitoring method and device. The method comprises the following steps of acquiring a distance signal and a breathing signal of a target object through a radar; determining the state of the target object according to the distance signal and the breathing signal, wherein the state comprises a sleep state and a waking state. determining sleep breathing characteristics of the target object according to the distance signal and the breathing signal of the target object in the sleep state; and monitoring whether the target object is in an abnormal breathing state or not according to the sleep breathing characteristics. The technical problems that in the prior art, a sleep respiration detection method needs to depend on an electrode patch and is inconvenient to use, monitoring is interrupted due to the fact that the electrode patch is prone to falling off in the testing process, and a diagnosis result cannot be continuously tracked and observed are solved.

The invention discloses a non-contact neonatal respiration monitoring system and device and a storage medium. The system comprises a signal acquisition module, wherein respiration and heartbeat signals of a plurality of objects are collected in real time based on the MIMO-FMCW radar; a feature extraction module which performs signal processing on the breathing and heartbeat signals, and extracts characteristic parameters reflecting breathing conditions and heartbeat conditions; an abnormal information identification module which judges whether abnormal information exists or not based on the combination of one or more feature parameters and mapping of the feature parameter numerical range corresponding to the abnormal information, and determines specific abnormal information; an abnormal information processing module which selects information feedback and / or alarm according to the abnormal information type. Based on the 24 GHz MIMO-FMCW system, the breathing condition of the neonates is monitored in real time by extracting instantaneous indexes of breathing and heartbeat signals of the neonates, the breathing abnormity evaluation and alarm functions can be provided, and the system is effective, feasible and reliable in performance.

The invention belongs to the technical field of medical respiratory monitoring system, specifically a multi-user respiratory frequency detection system based on optical fiber sensing, including a signal generation unit, an optical fiber ring ring down processing unit and a signal processing unit, the optical fiber ring down The processing unit includes an optical fiber delay line, a distributed FLRD and an optical fiber ring ring down cavity, the distributed FLRD attenuates the light entering the distributed FLRD by receiving the gas exhaled by the user, and the signal processing unit includes a signal processing module, using Distributed optical fiber ring cavity ring down technology detects the concentration of carbon dioxide exhaled by patients, which can not only monitor the respiratory frequency information of multiple patients at the same time, but also give alarm reminders to patients with abnormal breathing. It has the advantages of high precision, low cost and rapid system response.