93 results about "Breathing sounds" patented technology

A device is disclosed for treating sleep and breathing disorders of a patient, along with the method of using the device. The device includes a processor for receiving sensor inputs, processing the received sensor inputs, and generating commands through output devices. A first sensor is positionable for receiving breathing sound information emitted from one of the mouth and nose of a patient. The second sensor is positionable on a patient for receiving breathing sounds information from a patient's chest cavity. A third sensor is positionable for receiving information relating to the amount of chest expansion of a patient. A first output device is provided that is capable of providing an auditory signal to a patient. A second output device is capable of providing an electrical signal to a muscle group of a patient that simulates a human touching event. The first, second and third sensors, and the first and second output devices are operatively coupled to the processor to permit the processor to receive information input from the sensors, process the input information to the detect the existence of a sleep-breathing disorder event, and to generate command to at least one of the first and second output devices. The command is capable of directing the at least one output device to provide a series of progressively intrusive stimuli designed to condition the patient to terminate the sleep breathing disorder event, and ultimately, return to a more normal sleep pattern.

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.

There is disclosed a system and method for treating obstructive sleep apnea by terminating an obstructive sleep apnea event before the cessation of breathing occurs. The system comprises one or more microphones capable of detecting breathing sounds within an airway of a person. The microphones generate signals representative of the breathing sounds and send the signals to a controller. The controller uses digital signal processing to identify at least one signal pattern that is associated with a breathing pattern of the person that occurs at the onset of an obstructive sleep apnea event. When the controller detects a signal pattern that indicates the onset of an obstructive apnea event, the controller sends an alarm signal to a stimulus generator. The stimulus generator creates a stimulus (an electric current, a sound, a vibrator, a flashing light, etc.) to cause the sleeping person to move in a manner to terminate the obstructive sleep apnea event before cessation of breathing occurs. The obstructive sleep apnea event is terminated without waking the sleeping person and without causing the sleeping person physiological stress associated with cessation of breathing.

Disclosed herein is a method and apparatus for monitoring, identifying and determining the breathing cycle of an individual from processed acoustic signal waveform data. The breathing sounds of an individual are recorded using a microphone and digitized such that the breathing sounds may be plotted. The data is segmented and transformed to form a plurality of segments representative of a frequency spectrum. The frequency spectrum data is transformed so as to produce magnitude bins and the sum of lower magnitude bins and the sum of higher magnitude bins are determined in a sampling of segments. A Bands Ratio is determined from the sum of lower magnitude bins and the sum of higher magnitude bins in the sampling of segments. A first bands ratio is then determined within a given segment and compared to the mean bands ratio. If the first bands ratio of the given segment is greater than the mean bands ratio by at least a predetermined multiplier, the given segment is labeled as inspiration. If the first bands ratio of the given segment is less than the mean bands ratio by at least a predetermined multiplier, the given segment is labeled as expiration.

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.

Detection of apnea/hypopnea events to calculate an apnea/hypopnea index is obtained by analysis of breathing pattern of a patient from breathing and snore sounds and a finger probe recording the SaO2 signal. A detector analyzes microphone signals to detect breath, snore and noise sounds in response to a detected drop in the SaO2 level greater than 2% and to extract and analyze the breathing sounds from a limited time period starting prior to the drop of the SaO2 signal and ending at least at the end of each drop. Separated time periods are divided phases with snore sounds and those with breathing sounds and an estimated breathing volume adjacent to a snore phase is used to estimate the airflow of the snore phase. The relative and absolute energy and duration of the sound periods is used to classify the sound periods into the three groups of breath, snore and noise.

A method for performing dynamic classification of a breathing session is disclosed. The method comprises capturing breathing sounds of a subject using a microphone. Further, it comprises recognizing a plurality of breath cycles and a plurality of breath phases within each of the plurality of breath cycles from the breathing sounds. It also comprises detecting characteristics regarding the plurality of breath cycles and the plurality of breath phases. Finally, it comprises extracting metrics concerning a breath pattern quality of the subject using the detected characteristics.

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 present invention extends to methods, systems, computer program products, and circuits for conserving oxygen during the delivery of oxygen to a user. Embodiments of the invention use a microphone to detect breathing sounds indicative of different portions of a breathing cycle. Sounds not related to the breathing cycle are filtered out of the signal. Using the breathing sounds, a microprocessor differentiates inspiration from other portions of the breathing cycle. When inspiration is detected, a valve is transitioned to permit the flow of oxygen from an oxygen source to a user to deliver an appropriate bolus of oxygen. The microprocessor can also detect fault conditions, such as, for example, apnea, failure to deliver a bolus of oxygen, and restrictions in the flow of oxygen from the oxygen source to a user.

A system and methods using tracheal sound intensity variations to screen patients suspected of obstructive sleep apnea during wakefulness. The system includes a mechanism positioning the patient and a sound input device attached to a recording device to receive breathing sound signals. A signal conditioning component amplifies and filters the breathing sound signals, and an analog to digital component digitizes the signals. A detecting component detects onsets of respiratory phases, and a separating component separates inspiratory sound signals and expiratory sound signals from the breathing sound signals. A segmenting component segments the inspiratory and expiratory phase signals into a short duration of overlapping windows, and a collection characteristic extraction component obtains characteristics from each window. A calculation component performs statistical analysis to reduce the number of significant characteristics and classify the patient as OSA or non-OSA and predicts severity of the OSA as one of mild, moderate and severe.

The invention relates to device for soothing and calming an animal. In one embodiment, the device comprises a toy-shaped structure filled with soft stuffing material for an animal to lie against, the filler stuffing material at least partially defining a pouch within a central opening in the toy adapted to removably receive a modular simulator. The modular simulator generating rhythmic soothing acoustic sounds that simulate the actual breathing of the animal's mother and to communicate said breathing sound to the animal when lying against the toy structure. In another embodiment, the sound simulator is disposed in a pouch provided on a harness, the pouch being in proximity to the heart of the animal.

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 wearable acoustic device for monitoring breathing sounds includes an acoustic sensor and audible/visual indicators triggered by device electronics indicating normal, abnormal, and severity of abnormal bronchial asthmatic breathing. An elastic belt holds the device. Fasteners disposed on the belt allow the belt to be secured around the baby's chest. An oximeter may be connected to the device to measure percentage oxygen intake of the baby. A processor disposed in the device processes the oximeter and acoustic signals via an algorithmic sequence that looks for oxygen intake and the presence of bronchial asthmatic breathing vs. a normal breathing/oxygen intake sample stored in memory on the device. A transmitter powered by rechargeable batteries wirelessly transmits the alarm condition to the baby's caretaker. Depending on the normality/severity of the infant's breathing, an audible alarm sounds. The visual indicator displays severity of the breathing condition.

The invention relates to a firefighter breathing sound monitoring earphone and provides a firefighter body state evaluation method. The firefighter breathing sound monitoring earphone includes a soundcollection module, a bone conduction sound playback module, a memory module, a button module, a narrowband Internet of Things module, an STM32 processor module, a power management module and a lithium battery module. When in the fire rescue scene, a firefighter wears the breathing sound monitoring earphone, the breathing sound of the firefighter in the fire rescue scene can be collected by the breathing sound monitoring earphone for the first time, and the physical state of the firefighter is analyzed and identified to evaluate whether the firefighter is in danger. The firefighter breathing sound monitoring earphone is advantaged in that a physical state evaluation problem of the firefighter in the fire rescue scene is effectively solved, characteristics of flexible expansion, convenientcarrying, wireless interconnection and low cost are realized, the accurate identification rate of the physical state of different firefighters is improved, the false acceptance rate of firefighters' physical state identification is reduced, and the casualty rate of the firefighters is reduced.

Objects that interact with a user at a visceral level when the object comes within the user's personal environment. The objects detect a user's visceral behavior, for example breathing pattern or perspiration. In response to the visceral behavior the object simulates a behavior of a living entity such as breathing, or produces an output to which the user responds viscerally, such as an electric field. The form of the output or simulated behavior is determined by the visceral behavior. The output or simulated behavior may be modified to guide the user's visceral behavior, for example by first synchronizing simulated breathing to the user's breathing and then slowing down while the user's breathing is entrained to the simulated breathing. One such object has a skin that is warm to the touch, and simulates breathing with a breathing sound. Another such object produces electric fields like electric fields of the heart. A further such object simulates a purring sound in response to the user's breathing: the form of the purring also depends on sounds in the environment.

A breathing articulation training apparatus and a training method thereof are disclosed. A patient selection module is used to select a patient who is suitable for the breathing articulation training, a curative effect evaluating module is used to evaluate pronunciation of the patient before training, a breathing sounding training module is used to perform 'character tips' breathing sounding training for the patient, and a basic articulation training module is used to perform basic articulation training for the patient. After the breathing sounding training and the basic articulation training, the curative effect evaluating module is used to evaluate the curative effect after training and determine the difference before and after training and the training effect according to the pronunciation evaluation before training and the curative effect evaluation after training. The breathing articulation training apparatus combines the character tips with the basic articulation training to solve the difficult problem of dyspnea in speech training. The breathing control ability of a patient during speaking is effectively improved, and the articulation ability can be improved comprehensively. An effective, simple and inexpensive verbal rehabilitation method can be provided for patients with dysarthria and breathing control abnormality.

The invention relates to an abnormal lung auscultation sound intelligent identification system, which comprises a lung auscultation sound acquisition device, a controller, a terminal and a cloud, the lung auscultation sound acquisition device acquires a digital lung auscultation sound signal of a monitored object, and the controller performs digital band-pass filtering on the digital lung auscultation sound signal and converts the digital lung auscultation sound signals into the lung auscultation sound signals in the wav format, the terminal transmits the lung auscultation sound signals in the wav format to the cloud end, the cloud end obtains the lung auscultation sound types of the lung auscultation sound signals in the wav format, and when the lung auscultation sound types are abnormal sounds, the respiratory cycle where the abnormal sounds are located is obtained. And the respiratory cycle of the abnormal sound and the abnormal sound are transmitted to the terminal to be displayed, so that real-time and automatic identification of the breathing sound is realized.

The invention discloses breathing auxiliary equipment. The breathing auxiliary equipment comprises an air bottle, an oxygen bottle, an adjusting valve, a gas mixing chamber, a breathing mask, an abdominal airbag, a breathing sound collecting device, an ultrasound imaging device and a controller. By adopting the breathing auxiliary equipment, a patient can be provided with an accurate breathing auxiliary service according to real-time body information of the patient.

The present invention is directed to a toy providing a vividness as if it breathes. The toy comprises a breathing operation module installed in a main body of the toy to contract/expand a skin of the main body. The breathing operation module includes a driver part, a pusher part moved up/down by the driver part, a controller part for controlling the driver part, and a sound part for making a breathing sound and a snoring sound while the pusher part is operated by the driver part.