108 results about "Breath sound" patented technology

A phonopneumograph system for analyzing breath sounds includes a plurality of breath related sensors placed around the respiratory system of a patient for measuring breath related activity and a breath analyzer. The breath analyzer matches the breath sound data produced by the breath related sensors to a plurality of breath sound templates each of which parametrize one type of breath sound and determines the presence of regular and / or adventitious breath sounds only when the breath sound data matches, within predetermined goodness of fit criteria, one or more of the breath sound templates.

A method of analyzing breath sounds produced by a respiratory system, the method comprising: measuring breath sounds produced by the respiratory system; tentatively identifying a signal as being caused by a breath sound of a given type if it meets a first criteria characteristic of the breath sound of the given type; and confirming said identification if a tentatively identified signal meets a second criteria characteristic of the breath sound of the given type.

Apparatus for use detection of apnea includes a microphone mounted in the ear of the patient for detecting breathing sounds and a second external microphone together with an oximetric sensor. A transmitter at the patient compresses and transmits the signals to a remote location where there is provided a detector module for receiving and analyzing the signals to extract data relating to the breathing. The detector uses the entropy or range of the signal to generate an estimate of air flow while extracting extraneous snoring and heart sounds and to analyze the estimate of air flow using Otsu's threshold to detect periods of apnea and / or hypopnea. A display provides data of the detected apnea / hypopnea episodes and related information for a clinician.

An airway device is provided for opening a patient's airway. The airway device provides dual tubes which allow the patient to breathe on his / her own, to be ventilated, or to be intubated. The airway device includes a camera which provides constant visualization of the patient's tissues during insertion of the airway device and during the entire medical procedure. A transmission lumen monitors heart and breath sounds. Information from the camera and the transmission lumen is relayed to a microprocessor to allow for monitoring which may be remote. An airway assist device may be used with the airway device for properly positioning the patient's tongue is also disclosed. The airway assist device is inserted into the patient's vallecula to manipulate the patient's tongue.

Apparatus for use detection of apnea includes a microphone mounted in the ear of the patient for detecting breathing sounds and a second external microphone together with an oximetric sensor. A transmitter at the patient compresses and transmits the signals to a remote location where there is provided a detector module for receiving and analyzing the signals to extract data relating to the breathing. The detector uses the entropy or range of the signal to generate an estimate of air flow while extracting extraneous snoring and heart sounds and to analyze the estimate of air flow using Otsu's threshold to detect periods of apnea and / or hypopnea. A display provides data of the detected apnea / hypopnea episodes and related information for a clinician.

A multi lumen endotracheal tube having a balloon cuff to seal a patient's trachea during intubation. The ET tube having a main lumen for the exchange of respiratory and medicinal gases consequent to a medical procedure, a secondary lumen for inflation of the balloon cuff, and a tertiary lumen for transmission of sound waves via air medium contained therein, permitting ausculatory monitoring of a patient's breath sounds during intubation and subsequent monitoring of cardiac and respiratory activity after sealing of the ET tube. The ET tube is particularly a adapted for utilization by an anesthetist by including temperature sensor to permit remote monitoring of body core temperature and body cavity ausculation of cardiac and respiratory activity.

An intelligent monitoring bed is provided with a mechanical bed body, a lateral turning plate and a drive device and a forward inclined turning plate and a drive device. The lateral turning plate and the drive device and the forward inclined turning plate and the drive device are arranged on the mechanical bed body. A massage air bag and a defecation device are arranged on an upper face of a bed plate. A bedside table is provided with a panel capable of controlling display and a storage chamber capable of storing detection device mechanisms. A pressure sensor, a cardiopulmonary breath sound sensor and a temperature sensor are arranged on the bed body. The bed body is further provided with two side guardrails, an upper limb dragging lever, a lower limb dragging lever and a non-contacting safe alarm switch arranged at a bed side. The upper limb dragging lever is used by a patient to perform upper limb recovery movement. The forward inclined turning plate is matched with the drive device to assists movement. A lower limb training device is used for assisting lower limb recovery motion. The device is high in intelligent degree and convenient to control. In addition, real-time monitoring of cardiopulmonary breath conditions can be achieved and a dangerous situation can be treated in time when being found.

The invention belongs to the technical field of medical machinery, and relates to an electronic stethoscope which is used for auxiliary diagnosis and is capable of intelligently distinguishing physiological parameters, such as heart sounds and breath sounds, judging the types of the heart sounds and the breath sounds, and extracting the disease characteristics. The electronic stethoscope comprises a processor unit, and a signal collection unit, an external drive unit, a storage unit and a data bus interface unit which are connected with the processor unit, wherein the signal collection unit is used for collecting the signals of the heart sounds and the breath sounds and implementing the pre-processing on the signals; the processor unit is used for implementing the pattern recognition algorithms on the heart sounds and the breath sounds, separating the two sounds from each other, intelligently distinguishing and classifying the signals of the heart sounds and the breath sounds, and managing the other hardware units; the storage unit is used for storing the programs and the extension programs thereof, storing the data of the heart sounds and the breath sounds, the standard heart sounds and the breath sounds, and the audition model of each typical case of the disease, and outputting and playing; and the external drive unit and the data bus interface unit are used for implementing external operation function drive and data communication.

A sensor system comprises a mat (20) for placement over a patient's mattress including a number of sensors (10) located in the mat. The sensors include a sensor housing (12), a sound vibration sensing element in the form of a PVDF membrane (13), and means for amplifying sensed sounds. The PVDF membrane is coated / covered with a typically latex, impedance matching layer (14). The sensor automatically provides for auscultation, in which the patient's own weight, from the patient lying on the bed, compresses their thorax against the membrane, compressing also the patient's clothing, bed sheet and mattress cover material between the two. The recoil in the mattress opposes the body mass, thus compressing the membrane against the thorax. The impedance matching layer on top of the membrane transmits fine breath sounds through to the membrane as the latex does not weaken or attenuate the fine breath sounds but transmits them to the PVDF membrane. However being flexible, it is not uncomfortable to lie on.

The invention relates to an in-vivo pulse, pulse waveform or blood pressure detector, a heart rate, heart sound, maternal fetal sound, lung breath sound or electrocardiosignal detector, an in-vivo internal organ or internal tissue image detector and the like, in particular to an electronic detector comprising a wearable part; the wearable part is provided with a sensing device at least; the wearable part is suitable for being put around or on an in-vivo limb; the wearable part comprises an electric telescopic device, an electric expansible device or an electric swinging device; the force of contact of the sensing device upon the surface of the in-vivo skin is adjusted through the electric telescopic device, the electric expansible device or the electric swinging device, or the length of the wearable part is adjusted through the electric telescopic device, the electric expansible device or the electric swinging device, thereby allowing detection.

An apparatus for determining a respiratory condition includes a breath sound measuring unit 111 measuring a breath sound passing through a subject's airway by a breathing; a frequency converting unit 132 converting a frequency on the breath sound to obtain a frequency spectrum; a respiratory synchronous component extracting unit 134 extracting a respiratory synchronous component, which varies depending on the breathing, from the frequency spectrum; a frequency distribution detecting unit 136 detecting a frequency distribution of the respiratory synchronous component; and a respiratory condition determining unit 138 determining a subject's respiratory condition based on the frequency distribution. According to the apparatus, various symptoms, such as airway occlusion, respiratory obstruction and the like in relation to breathing during sleep can be determined.

A single sensor capable of detecting both airflow in spirometry and the full range of sound frequencies needed to track clinically relevant breath sounds is provided. The airflow sensor includes a movable flap with one or more integrated strain gauges for measuring displacement and vibration. The airflow sensor is inherently bidirectional. The sensor is an elastic flap airflow sensor that is capable of detecting data needed for both spirometry and auscultation measurements. The sensor is sterilizable and designed for the measurement of human respiratory airflow. The sterilizable sensor is also suitable for non-medical fluid flow metering applications. Additional devices such as sensors for the ambient level of various chemicals, sensors for temperature, sensors for humidity and microphones, may be affixed to the flap. When the strain gauge is placed in a conventional Wheatstone bridge configuration, the sensor can provide the airflow measurements needed for medical spirometry.

Disclosed herein are breathing disorder identification, characterization and diagnosis methods, devices and systems. In general the disclosed methods, devices and systems may rely on the characterization of breath sound amplitudes, periodic breath sounds and / or aperiodic breath sounds to characterize a breathing disorder as obstructive (e.g. obstructive sleep apnea - OSA) or non-obstructive (e.g. central sleep apnea - CSA).

The present invention discloses a method and system for breath sound identification based on machine learning. The method comprises the steps: collecting breath sound data of all the auscultation point locations of a plurality of users in different age groups; recording the correlation information matching with each breath sound data, and packaging the matched correlation information and the breath sound data to a breath sound data package; performing deep learning classification of the breath sound data, and obtaining a breath sound machine learning classifier aiming at each age group; and selecting a corresponding breath sound learning classifier to perform data analysis and obtain an analysis result according to the age group to which the obtained real-time breath sound data packet belongs. The breath sound data in different age groups and the matching correlation information are packaged to the breath sound data packet to perform deep learning classification to obtain the breath sound machine learning classifier of each age group so as to perform data analysis of the real-time obtained breath sound data packet and obtain a result, realize accurate and intelligent disease analysis and identification and facilitate assistance of doctor clinic research.

An airway device is provided for opening a patient's airway. The airway device provides dual tubes which allow the patient to breathe on his / her own, to be ventilated, or to be intubated. The airway device includes a camera which provides constant visualization of the patient's tissues during insertion of the airway device and during the entire medical procedure. A transmission lumen monitors heart and breath sounds. Information from the camera and the transmission lumen is relayed to a microprocessor to allow for monitoring which may be remote. An airway assist device may be used with the airway device for properly positioning the patient's tongue is also disclosed. The airway assist device is inserted into the patient's vallecula to manipulate the patient's tongue.

The invention relates to a method for establishing a pathological breath sound library, and a specific application thereof. The method comprises the steps of: 1) forming a tagged breath sound data set, which is formed by acquiring pathological breath sounds of patients diagnosed with respiratory diseases and marking the pathological breath sounds; 2) training an identification model according to the breath sound data set to obtain a target identification model; 3) and integrating the breath sound data set obtained in the step 1) and the target identification model obtained in the step 2) to establish the pathological breath sound library. The pathological breath sound library can be used for teaching, scientific research and auxiliary diagnosis of diseases of the respiratory system.

The invention relates to a portable wireless electrocardiogram, cardiac sound and breath sound acquisition, display and storage device which comprises a cardiac sound / breath sound sensor, a first low-noise amplifier, a second low-noise amplifier, a signal conditioning circuit, an electrocardiogram sensor, a low and high pass filter, an A / D (Analog to Digital) converter, a CPU (Central Processing Unit) processor, a keyboard, a wireless transmitting / receiving module and an LED indicator light, wherein the cardiac sound / breath sound sensor is connected with the signal conditioning circuit through the first low-noise amplifier and then connected with the CUP processor through the A / D converter; the electrocardiogram sensor is connected with the low and high pass filter through the second low-noise amplifier and then connected with the CPU processor through the A / D converter; and the CPU processor is used for carrying out wireless transmission of signals through the wireless transmitting / receiving module. The device has the characteristics of synchronously acquiring physiological parameter data such as electrocardiograms, cardiac sound, breath sound, and the like of a human body and transmitting the data to a display and storage machine in real time through the wireless transmitting / receiving module, displaying and storing or replaying the electrocardiograms and frequency spectrograms of the cardiac sound and the breath sound and playing the cardiac sound and the breath sound, and providing more visual diagnostic data for doctors; and the device can provide quick diagnosis information of common diseases such as arrhythmia, structural heart diseases, lung diseases, and the like.

The invention relates to a sound-based body status continuously and real-time monitoring system and method. According to an embodiment, the sound-based body status continuously and real-time monitoring system comprises a sound collecting module, a sound storage module, a sound analyzing module and a sound determining module, wherein the sound collecting module is configured to continuously collecting monitored signals related to sounds produced by a specific body part; the sound storage module is configured to converting the monitored signals into digital sound data and storing the digital sound data; the sound analyzing module is configured to timely cutting the digital sound data into sound fragments and in real time analyze the sound fragments to determine the probability of pathological feature sounds contained in the sound fragments; the sound determining module is configured to determine body status at least on the basis of the probability of the pathological feature sounds. Thesound-based body status continuously and real-time monitoring system can replace medical workers to continuously monitor breath sounds and bowel sounds of a body, intelligently identify abnormal pathological sounds and issue alarming in a visual manner, thereby being applicable to monitoring of intensive care units and postoperative care units.

The invention provides a stethoscope device comprising a chest piece, an amplifier and a mixer compatible with a conventional voice quality telephone system. Electrical signals are generated that are representative of physiological sounds such as breath sounds, heart sounds and bowel sounds. The electrical signals can be combined with voice communications at the remote site and transmitted over the telephone system. The invention also provides a system and method for diagnosis by a trained health care professional with the patient being located at a remote site. In another embodiment, the invention also provides a system and method for training students to interpret stethoscope sounds. In addition, the system allows for simultaneous listening by the health care professional and another individual at the remote location of the stethoscope.

The invention discloses a breath sound monitoring method and device, a terminal and a computer readable storage medium. The method comprises the steps that a real-time collected breath sound signal sent by monitoring equipment is received; the breath sound signal is pre-processed to acquire a Mel-frequency cepstrum coefficient and frame energy; according to the Mel-frequency cepstrum coefficient and frame energy, the breath sound signal is classified and judged through a pre-built neural network model, and a classification score is calculated; a diagnosis result is output according to the classification score; and if the fact that the breath sound is abnormal is judged according to the diagnosis result, an alarm is triggered. According to the invention, human breath sounds can be monitoredall the time, and automatic alarm triggering is realized when abnormal breath sounds are monitored to remind a user.

A portable terminal(1) includes a breath determining unit(31) that, when having detected sounds having similar frequency components periodically in picked-up sounds by a microphone while an object person is being asleep, determines the sounds to be breath sounds. The terminal includes a snore determining unit(32) that, when the sound pressure of the breath sounds is greater than a first level threshold value, determines the sounds to be a snoring sound. The terminal includes a body motion determining unit(34) that determines whether a body motion is detected after the breath sounds are determined. The terminal further includes an apnea determining unit(33) that determines whether a silent interval is detected from a period of time between timings of the breath sound and the body motion when the body motion is detected and that determines the silent interval to be an apnea state when the silent interval is detected.

The invention relates to a portable wireless electrocardiogram, heart sound and breath sound acquisition terminal device, and the device comprises a heart sound / breath sound sensor, a heart sound and breath sound signal conditioning circuit, an electrocardiogram sensor, an electrocardiogram signal conditioning circuit, an A / D (analog / digital) converter, a CPU (central processing unit) processor, a keyboard, a wireless transmitting / receiving module and an LED (light-emitting diode) indicator lamp, wherein the heart sound / breath sound sensor is connected with the heart sound and breath sound signal conditioning circuit and further connected with the CPU processor through the A / D converter; the electrocardiogram sensor is connected with the electrocardiogram signal conditioning circuit and further connected with the CPU processor through the A / D converter; and the CPU processor can perform wireless transmission of signals through the wireless transmitting / receiving module. The portable wireless electrocardiogram, heart sound and breath sound acquisition terminal device has the characteristics of synchronously acquiring electrocardiogram, heart sound, breath sound and other physiological parameter data of a human body, being capable of providing more intuitive diagnostic data by transmitting the data to a storage display device through the wireless transmitting / receiving module after filtration and signal amplification, giving out rapid diagnostic information for arrhythmia, structural heart diseases, lung diseases and other common diseases.

Methods, devices, and systems for monitoring a health parameter of a user. A portable monitoring device comprises a housing adapted to couple to a user proximate to the user's respiratory tract; a first audio sensor, disposed in the housing, is adapted to detect a breath sound of the user and create breath sound data; and a processor coupled to the first audio sensor transduces the breath sound data into a modified breath sound signal which is representative of a parameter of the user's breathing, and the processor is adapted to compare the parameter of the user's breathing to a predetermined parameter threshold.

The invention relates to the field of audio signal recognition, and in particular, relates to a breathing sound classification method based on deep learning. The method comprises the steps: S1, acquiring an audio signal sample of breathing sound, and preprocessing the audio signal; S2, according to breathing sound period text information, performing period division on the audio signal in the stepS1 to obtain a breathing sound signal of a set period; performing data enhancement on the breathing audio signal in the data set through an audio data enhancement method, and extracting acoustic features of the breathing audio signal; and S3, constructing a type recognition model by using the acoustic features extracted in the step S3 to classify and recognize the breathing sound to obtain a classification and recognition result.

The invention discloses a wireless stethoscope, which comprises an auscultation head and an earphone, wherein the auscultation head comprises a shell body, and a sound transducer, a signal processing unit and a wireless signal emitter which are fixedly installed in the shell body, wherein the sound transducer, the signal processing unit and the wireless signal emitter are sequentially connected with one another; the earphone comprises a wireless signal receiver, a digital / analog (D / A) converter and a loudspeaker which are sequentially connected with one another; and the auscultation head and the earphone are wirelessly connected with the wireless signal receiver through the wireless signal emitter. The wireless stethoscope not only can detect the common heat sounds and breath sounds, but also can catch the special heat sounds, lung sounds and bowel sounds, and has the advantages of stability, reliability, high precision and simplicity in operation; the wireless stethoscope also can store the sound data in a memory for bringing convenience for latter lookup, and the data can be applied in teaching; and the wireless stethoscope has the real-time wireless communication function, can realize multiuser union diagnosis, improves the diagnosis efficiency and accuracy, and also satisfies the clinic teaching requirement.

A single sensor capable of detecting both airflow in spirometry and the full range of sound frequencies needed to track clinically relevant breath sounds is provided. The airflow sensor includes a movable flap with one or more integrated strain gauges for measuring displacement and vibration. The airflow sensor is inherently bidirectional. The sensor is an elastic flap airflow sensor that is capable of detecting data needed for both spirometry and auscultation measurements. The sensor is sterilizable and designed for the measurement of human respiratory airflow. The sterilizable sensor is also suitable for non-medical fluid flow metering applications. Additional devices such as sensors for the ambient level of various chemicals, sensors for temperature, sensors for humidity and microphones, may be affixed to the flap. When the strain gauge is placed in a conventional Wheatstone bridge configuration, the sensor can provide the airflow measurements needed for medical spirometry.

The invention discloses a portable wireless electrocardiogram heart sound and breath sound signal display and storage device which comprises a power management module, a touch screen, a CPU processor, a keyboard, a wireless receiving and transmitting module, an LED display, an audio power amplifier, a loudspeaker, an earphone output interface and a special receiving slot for a wireless collection terminal, wherein the CPU processor is wirelessly connected with a wireless electrocardiogram, heart sound and breath sound collection terminal through the wireless receiving and transmitting module and receives electrocardiogram, heart sound and breath sound signals, the CPU processor is internally provided with analysis software, is connected with the LED display which can displays in real time, and is also connected with the audio power amplifier, the loudspeaker and the earphone output interface. The portable wireless electrocardiogram heart sound and breath sound signal display and storage device can receive electrocardiogram, heart sound and breath sound signal data transferred by the wireless electrocardiogram, heart sound and breath sound collection terminal in real time, display, store or playback a cardiogram and a heart sound and breath sound audio spectrogram in real time, play heart sounds and breath sounds, fulfill the function of volume regulation, and supply more intuitive and accurate diagnosis data to a doctor.

The invention belongs to the technical field of artificial intelligence, and particularly relates to a lung breath sound classifying method, device and terminal equipment. The classifying method includes the following steps of acquiring sound signals of lung breath sounds of a user; preprocessing the sound signals; extracting acoustic characteristics of the preprocessed sound signals; and obtaining a classification result of the sound signals by analyzing the acoustic characteristics through a type recognition model. By extracting the acoustic characteristics of the preprocessed sound signalsand directly employing the type recognition model to analyze the acoustic characteristics, classification efficiency on the sound signals of the lung breath sounds can be improved.

The invention discloses a wireless stethoscope head. The wireless stethoscope head comprises a shell as well as a sound sensor, a signal processing unit and a wireless signal transmitter which are fixedly arranged inside the shell, wherein the sound sensor, the signal processing unit and the wireless signal transmitter are sequentially connected. The wireless stethoscope head can detect ordinary heart sounds and breath sounds, can also capture special heart sounds, lung sounds and bowel sounds, has the advantages of stability, reliability and high precision, and is easy to operate; and the wireless stethoscope head has a real-time wireless communication function, lays a foundation for realizing multi-people joint diagnosis, can improve the diagnostic efficiency of doctors, and also meets the demand of clinical teaching.