37 results about "Respiratory pattern" patented technology

A method and system for delivering a pharmaceutical gas to a patient. The method and system provide a known desired quantity of the pharmaceutical gas to the patient independent of the respiratory pattern of the patient. The preferred pharmaceutical gases are CO and NO, both of which are provided as a concentration in a carrier gas. The gas control system determines the delivery of the pharmaceutical gas to the patient to result in the known desired quantity (e.g. in molecules, milligrams or other quantified units) of the pharmaceutical gas being delivered. Upon completion of that known desired quantity of pharmaceutical gas over a plurality of breaths, the system can either terminate any further delivery of the pharmaceutical gas or can activate an alarm to alert the user that the known quantity has been delivered. The system also has alarm functions to alert the user of possible malfunctions of the system.

A system and method for assessing pulmonary performance through transthoracic impedance monitoring is described. Transthoracic impedance measures are directly collected through an implantable medical device. The transthoracic impedance measures are correlated to pulmonary functional measures relative to performance of at least one respiration cycle. The transthoracic impedance measures are grouped into at least one measures set corresponding to one of an inspiratory phase and an expiratory phase. The at least one transthoracic impedance measures set are evaluated to identify a respiratory pattern relative to the inspiratory phase or the expiratory phase to represent pulmonary performance.

Methods and systems are provided to deliver a neural stimulation therapy to treat apnea episodes. The methods and systems detect a respiratory pattern of a patient and identify a type associated with the respiratory pattern. A sleep stage is detected that the patient is experiencing and the method and system identify when the sleep stage warrants therapy. When the respiratory pattern corresponds to an apnea episode (AE) and the sleep stage warrants therapy, the methods and systems deliver an apnea episode terminating neuro-stimulation (AET-NS) therapy configured to terminate the AE. A type of AE therapy that is delivered may be based on the sleep stage that was detected. The methods and systems may determine whether the AET-NS therapy successfully terminated the AE, and, if not, adjust the AET-NS therapy and deliver a new AET-NS therapy.

A computer implemented method, apparatus, and computer usable program code for detecting behavioral deviations in members of a cohort group. In one embodiment, a member of a cohort group is identified. Each member of the cohort group shares a common characteristic. Respiratory metadata associated with the member of the cohort group is received in real-time as the respiratory metadata is generated. The respiratory metadata describes respiration associated with the member of the cohort group. Patterns of respiratory changes are identified using the respiratory metadata. The respiratory metadata is analyzed to identify the patterns of respiratory changes. In response to the patterns of respiratory changes indicating behavioral deviations in the member of the cohort group, the member of the cohort group is identified as a person of interest.

A computer implemented method, apparatus, and computer usable program code for detecting behavioral deviations in members of a cohort group. In one embodiment, a member of a cohort group is identified. Each member of the cohort group shares a common characteristic. Respiratory metadata associated with the member of the cohort group is received in real-time as the respiratory metadata is generated. The respiratory metadata describes respiration associated with the member of the cohort group. Patterns of respiratory changes are identified using the respiratory metadata. The respiratory metadata is analyzed to identify the patterns of respiratory changes. In response to the patterns of respiratory changes indicating behavioral deviations in the member of the cohort group, the member of the cohort group is identified as a person of interest.

Techniques are provided for detecting pulmonary edema based on a comparison of impedance-based respiratory patterns and impedance-based cardiac patterns, i.e. patterns derived from thoracic impedance signals. In one example, a numerical ratio is calculated between average peak-to-peak amplitudes of the respiratory patterns and average peak-to-peak amplitudes of the cardiac patterns. Pulmonary edema is detected if the amplitude ratio falls below a pulmonary edema detection threshold. Techniques are also provided for controlling operation of an impedance-based reduced respiration detector, i.e. a detector which seeks to detect apnea, hypopnea, or the like, based on analysis of respiratory patterns derived from a thoracic impedance signal. If the numerical ratio falls below a minimum reliability threshold, then the reduced respiration detector is deactivated because episodes of reduced respiration cannot then reliably be derived from an analysis of respiration patterns obtained from the thoracic impedance signals.

What is disclosed is a system and method for identifying a patient's breathing pattern for respiratory function assessment without contact and with a depth-capable imaging system. In one embodiment, a time-varying sequence of depth maps are received of a target region of a subject of interest over a period of inspiration and expiration. Once received, the depth maps are processed to obtain a breathing signal for the subject. The subject's breathing signal comprises a temporal sequence of instantaneous volumes. One or more segments of the subject's breathing signal are then compared against one or more reference breathing signals each associated with a known pattern of breathing. As a result of the comparison, a breathing pattern for the subject is identified. The identified breathing pattern is then used to assess the subject's respiratory function. The teachings hereof find their uses in an array of diverse medical applications. Various embodiments are disclosed.

An apparatus, system, and method for monitoring a person suffering from a chronic medical condition predicts and assesses physiological changes which could affect the care of that subject. Examples of such chronic diseases include (but are not limited to) heart failure, chronic obstructive pulmonary disease, asthma, and diabetes. Monitoring includes measurements of respiratory movements, which can then be analyzed for evidence of changes in respiratory rate, or for events such as hypoponeas, apneas and periodic breathing. Monitoring may be augmented by the measurement of nocturnal heart rate in conjunction with respiratory monitoring. Additional physiological measurements can also be taken such as subjective symptom data, blood pressure, blood oxygen levels, and various molecular markers. Embodiments for detection of respiratory patterns and heart rate are disclosed, together with exemplar implementations of decision processes based on these measurements.

What is disclosed is a system and method for determining a subject's respiratory pattern from a video of that subject. One embodiment involves receiving a video comprising N≧2 time-sequential image frames of a region of interest (ROI) of a subject where a signal corresponding to the subject's respiratory function can be registered by at least one imaging channel of a video imaging device. The ROI comprises P pixels. Time-series signals of duration N are generated from pixels isolated in the ROI. Features are extracted from the time-series signals and formed into P-number of M-dimensional vectors. The feature vectors are clustered into K clusters. The time-series signals corresponding to pixels represented by the feature vectors in each cluster are averaged along a temporal direction to obtain a representative signal for each cluster. One of the clusters is selected. A respiratory pattern is determined for the subject based on the representative signal.

What is disclosed is a system and method for determining a subject's respiratory pattern from a video of that subject. One embodiment involves receiving a video comprising N≧2 time-sequential image frames of a region of interest (ROI) of a subject where a signal corresponding to the subject's respiratory function can be registered by at least one imaging channel of a video imaging device. The ROI comprises P pixels. Time-series signals of duration N are generated from pixels isolated in the ROI. Features are extracted from the time-series signals and formed into P-number of M-dimensional vectors. The feature vectors are clustered into K clusters. The time-series signals corresponding to pixels represented by the feature vectors in each cluster are averaged along a temporal direction to obtain a representative signal for each cluster. One of the clusters is selected. A respiratory pattern is determined for the subject based on the representative signal.

A system and method for observing, collecting and analyzing olefactory characteristics of a human or animal subject, such as sniffing, breathing and respiratory patterns and sounds. Example applications include the evaluation and training of dogs for explosive and drug detection, clinical diagnostics, scientific research, and identification.

In an implantable medical device such as an implantable cardiac defibrillator, and a method for classifying arrhythmia events, IEGM signals are analyzed to detect an arrhythmia event and a respiratory pattern of the patient is sensed. At least one respiratory parameter reflecting characteristics of the respiratory pattern of the patient is determined based on the sensed respiratory pattern and a respiratory measure corresponding to a change of a rate of change of the at least one respiratory parameter is calculated. The detected arrhythmia event is classified based on the respiratory measure and the IEGM signals, wherein arrhythmia events that satisfy at least a first criterion is classified as an arrhythmia event requiring therapy.

A method of profiling respiratory motion is provided that includes estimating a temporal respiratory pattern, using a warping function to map the temporal respiratory pattern to a corresponding phase value, using a baseline drift function to determine drift in the temporal respiratory pattern, and noise filtering the temporal respiratory pattern, where variations in a respiratory motion are provided. The warping function includes combining an elliptical shape prior for providing iso-phase events in real-time, where the elliptical shape prior is in an augmented state space and Poincare´ sectioned. Parameters of the ellipse are estimated, where a projection of a center of the ellipse onto an observed respiratory position provides a real-time estimation for baseline drift of the respiratory motion.

The invention discloses a measurement experiment system of human alveolar aerosol deposition. A standard particle generator and an expiratory aerosol particle counter are connected with a one-way inlet valve through a pipe respectively; a mains pipe after the one-way inlet valve joins a pipe connected with a humidifier through the pipe penetrates a cover of a transparent experiment container and is connected with a pulmonary acinus experiment model arranged in the transparent experiment container, and the bottom of the transparent experiment container is connected with a simulated respiratory pump through a pipe; a pressure gauge is arranged on the transparent experiment container; an expiratory aerosol particle counter is connected with a one-way exhaust valve and the mains pipe through a pipe sequentially; a computer equipped with a data analysis system is electrically connected with a PIV particle tracer and the simulated respiratory pump, and the PIV particle tracer is arranged on one side of the transparent experiment container. The system can provide external measurement of the deposition rate of inhalable particulate matter under conditions of different particulate sizes, respiratory modes as well as different environmental humidity and pathological conditions.

The invention discloses a method and a system for acquiring respiratory information. The method comprises the following steps of: collecting the pressure signals corresponding to different body partsof the target human body according to the preset pressure collection mode; performing signal processing on the collected pressure signal, and analyzing the respiratory signal corresponding to the target human body; obtaining a respiratory intensity and a respiratory frequency corresponding to the target human body according to the obtained respiratory signal; the method is provided with the beneficial effect of obtaining more accurate respiratory information by collecting multiple body surface pressure signals, which improves the accuracy and reliability of respiratory information acquisition,and further make the acquisition of respiratory information reproducible. In addition, the method uses multiple points to simultaneously collect surface pressure information of the body surface whenthe target human body breathes. With the technical solution of human anatomy for correlation analysis, individualized breathing information such as respiratory pattern and organ muscle participation of the target human body can be further obtained.

A video is received of a region of a subject where a signal corresponding to respiratory function can be registered by a video device. Pixels in the region in each of the image frames are processed to identify a respiratory pattern with peak / valley pairs. A peak / valley pair of interest is selected. An array of optical flow vectors is determined between a window of groups of pixel locations in a reference image frame corresponding to a peak of the pair / valley pair and a window in each of a number of image frames corresponding to the respiratory signal between the peak and ending at a valley point. Optical flow vectors have a direction and a magnitude. A ratio is determined between upwardly pointing optical flow vectors and downwardly pointing optical flow vectors. Based on the ratio, a determination is made whether the respiration phase for that peak / valley pair is inspiration or expiration.

The invention discloses a method based on respiratory pattern monitoring radar. The respiratory pattern judgement method includes the following steps: step 1, a monitored heartbeat and a respiratory mixed signal are demodulated through a respiratory pattern monitoring radar collection signal, a respiratory signal is obtained, a low-pass filtering is conducted for the respiratory signal obtained by a removed noise jamming; step 2, the respiratory signal of the removed noise jamming is captured for 30 second, and the feature is extracted, the characteristic parameter of different respiratory pattern respiratory signal can be differentiated; step 3, a mapping relation between the different respiratory pattern and the characteristic parameter is confirmed; step 4, according to the mapping relation in step 3, what kind of the respiratory pattern in the respiratory signal obtained from the respiratory pattern monitoring radar is judged. According to the respiratory pattern judgement method, the respiratory pattern judgement method is valid and workable, performance is reliable, and the respiratory pattern can be precisely judged.

Methods and systems are provided to deliver a neural stimulation therapy to treat apnea episodes. The methods and systems detect a respiratory pattern of a patient and identify a type associated with the respiratory pattern. A sleep stage is detected that the patient is experiencing and the method and system identify when the sleep stage warrants therapy. When the respiratory pattern corresponds to an apnea episode (AE) and the sleep stage warrants therapy, the methods and systems deliver an apnea episode terminating neuro-stimulation (AET-NS) therapy configured to terminate the AE. A type of AE therapy that is delivered may be based on the sleep stage that was detected. The methods and systems may determine whether the AET-NS therapy successfully terminated the AE, and, if not, adjust the AET-NS therapy and deliver a new AET-NS therapy.

Provided are a digital smart security system and method and a program which make it possible to report the abnormal state of security without a suspicious person knowing even in front of the suspicious person. A digital smart security system is provided with an abnormality determination unit (112) which determines the occurrence of an abnormal state when respiration detected by a respiration sensor (10) for detecting the respiration of a user has a preset respiratory pattern in which the respiration is stopped for a predetermined period and resumed, and a warning issuance unit (203) which reports the abnormal state on the basis of the determination result of the occurrence of the abnormal state. The abnormality determination unit (112) determines the occurrence of the abnormal state when the user stops respiration for a predetermined period (for example, 10-15 seconds) and resumes the respiration. Further, the abnormality determination unit (112) determines the occurrence of the abnormal state of the health of the user when the respiration is stopped and not resumed.

An embodiment in accordance with the present invention provides a device for whole-body plethysmography (WBP) of a mouse for the continuous characterization of sleep and breathing. The inherent limitations of standard WBP are addressed to enable the continuous recording of validated measures of tidal volume, tidal airflow, and respiratory effort surrogate in an unrestrained, unanesthetized mouse. The addition of standard EEG and EMG recording technology allows for respiratory patterns to be fully characterized during sleep and wakefulness. The present invention also allows for the demonstration of the development of dynamic upper airway obstruction [inspiratory flow limitation (IFL)] during sleep in a susceptible, obese murine strain.

Embodiments of the present disclosure relate to a mask-based breathing apparatus. The mask uses inlet and outlet flow controls based on the user's breathing pattern. The mask wall has a region of spaced apart membranes with a filter material in the space between the membranes. At least one of the flow control devices provides a fluid coupling between the exterior of the mask and the spacing to provide lateral airflow through the spacing. The flow distance through the filter material is greatly increased, thus also greatly increasing the flow contact time with the filter material.

An apparatus, system, and method for monitoring a person suffering from a chronic medical condition predicts and assesses physiological changes which could affect the care of that subject. Examples of such chronic diseases include (but are not limited to) heart failure, chronic obstructive pulmonary disease, asthma, and diabetes. Monitoring includes measurements of respiratory movements, which can then be analyzed for evidence of changes in respiratory rate, or for events such as hypoponeas, apneas and periodic breathing. Monitoring may be augmented by the measurement of nocturnal heart rate in conjunction with respiratory monitoring. Additional physiological measurements can also be taken such as subjective symptom data, blood pressure, blood oxygen levels, and various molecular markers. Embodiments for detection of respiratory patterns and heart rate are disclosed, together with exemplar implementations of decision processes based on these measurements.

A video is received of a region of a subject where a signal corresponding to respiratory function can be registered by a video device. Pixels in the region in each of the image frames are processed to identify a respiratory pattern with peak / valley pairs. A peak / valley pair of interest is selected. An array of optical flow vectors is determined between a window of groups of pixel locations in a reference image frame corresponding to a peak of the pair / valley pair and a window in each of a number of image frames corresponding to the respiratory signal between the peak and ending at a valley point. Optical flow vectors have a direction and a magnitude. A ratio is determined between upwardly pointing optical flow vectors and downwardly pointing optical flow vectors. Based on the ratio, a determination is made whether the respiration phase for that peak / valley pair is inspiration or expiration.

An apparatus, system, and method for monitoring a person suffering from a chronic medical condition predicts and assesses physiological changes which could affect the care of that subject. Examples of such chronic diseases include (but are not limited to) heart failure, chronic obstructive pulmonary disease, asthma, and diabetes. Monitoring includes measurements of respiratory movements, which can then be analyzed for evidence of changes in respiratory rate, or for events such as hypoponeas, apneas and periodic breathing. Monitoring may be augmented by the measurement of nocturnal heart rate in conjunction with respiratory monitoring. Additional physiological measurements can also be taken such as subjective symptom data, blood pressure, blood oxygen levels, and various molecular markers. Embodiments for detection of respiratory patterns and heart rate are disclosed, together with exemplar implementations of decision processes based on these measurements.

A respiratory monitor, systems of respiratory monitoring, and methods of calibrating sensing equipment are described. The respiratory monitor may be configured to identify respiratory patterns while ignoring normal noise aberrations from a sensing device. The monitor may be configured for more comfortable use by a patient. Calibration techniques are also described. These calibration techniques may be employed to adjust sensing systems and to correct for unwanted noise in output signals of sensing equipment.

In an implantable medical device such as an implantable cardiac defibrillator, and a method for classifying arrhythmia events, IEGM signals are analyzed to detect an arrhythmia event and a respiratory pattern of the patient is sensed. At least one respiratory parameter reflecting characteristics of the respiratory pattern of the patient is determined based on the sensed respiratory pattern and a respiratory measure corresponding to a change of a rate of change of the at least one respiratory parameter is calculated. The detected arrhythmia event is classified based on the respiratory measure and the IEGM signals, wherein arrhythmia events that satisfy at least a first criterion is classified as an arrhythmia event requiring therapy.

Compared with the prior art, the invention provides a clinical urging device. The body is used for the pregnant woman to perform pre-pregnancy training, the reminding module is used for monitoring the heart rate of the pregnant woman in the pregnant woman training process and reminding the pregnant woman when the heart rate exceeds the upper limit heart rate value, and the respiration monitoring module is used for guiding and controlling the respiration mode of the pregnant woman in the training process. By monitoring the training process of the pregnant woman and automatically guiding the pregnant woman to breathe in the training process, safety and effectiveness of prenatal training of the pregnant woman are guaranteed.

The invention provides a respiratory training device convenient to measure abdominal pressure, which comprises an abdominal belt, a hanging belt, an abdominal pressure measuring mechanism, a supporting mechanism, a warning mechanism and a respiratory training mechanism, the abdominal pressure measuring mechanism is mounted on the upper side of the abdominal belt, the hanging belt is movably mounted on the front side of the abdominal pressure measuring mechanism, the hanging belt is movably connected with the supporting mechanism, and the supporting mechanism is movably connected with the warning mechanism. Compared with the prior art, the device has the following beneficial effects that the abdominal pressure measuring mechanism is arranged and is matched with the abdominal belt and the hanging belt, so that pressure generated by belly bulging during respiratory training of a trainee is conveniently measured; and through the design of the warning mechanism, the trainee can be prompted whether the current breathing mode is correct or not conveniently, so that the trainee can use the correct breathing mode to conduct breathing training, and the breathing training effect is improved.

The invention relates to a feedback-type respiratory training system and method for hypoxic acclimatization training and belongs to the technical field of hypoxic acclimatization training. The systemis composed of a compressor, a nitrogen making machine, a gas storage tank, a normal-pressure hypoxic cabin, a pair of monitoring gloves, cuffs, a respiration guiding mainframe and gas hoses and wiresfor connecting parts. The respiration guiding mainframe can be utilized to guide a user to take a deep respiration in a hypoxia environment, the user uses the monitoring gloves to monitor the changeof blood oxygen concentration, electrocatdiograms and blood pressure in the respiratory process, and then the user is guided to gradually increase the respiration depth according to acquired physicalsigns until the best personalized respiration is achieved and the blood oxygen concentration reaches the highest. By adopting the feedback-type respiratory training system and method, the user mastersthe optimal respiratory mode most adaptable to the user in a high-altitude hypoxia environment, quick acclimatization of the user to the high-altitude environment is facilitated, and the hypoxic effect is relieved.