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.

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.

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.

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.

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.

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.

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.

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.