Abstract: An apparatus to measure cardiac output (Q) and other parameters such as alveolar ventilation (VA), minute CO2 elimination from the lung (VCO2), minute oxygen consumption (VO2), oxygenated mixed venous partial pressure of CO2, (PvCO2-oxy), true mixed venous partial pressure of CO2(PvCO2), PaCO2, mixed venous oxygen saturation (SvO2), pulmonary shunt, and anatomical dead space, consisting of: a) a breathing circuit with characteristics that: i. on exhalation, exhaled gas is kept substantially separate from inhaled gas; ii.

Abstract: A gas flow diverter for increasing the turbulence of an incoming respiratory gas flow through a respiratory gas sensor is provided. The diverter is positioned at a patient or inlet end of a tube section of the sensor in order to divert the respiratory gas flow from the patient generally equally across the cross-sectional area of the tube section. The diverter can be formed integrally as a part of the sensor, or can be releasably attached to the sensor or to an adapter that is releasably connected to the inlet end of the sensor for use in situations in which the volume of the incoming respiratory gas flow from the patient is greatly reduced due to the size of the patient, i.e., when the patient is an infant.

Abstract: Apparatus and methods are provided including sensing at least one parameter of a subject while the subject sleeps. The parameter is analyzed, and a condition of the subject is determined at least in part responsively to the analysis. The subject is alerted to the condition only after the subject awakes. Other applications are also described.

Abstract: An alert system for patient treatment that incorporates patient data to display information in readily identifiable icons for vital organs, and in a useable, real-time, updated fashion that extracts data from the medical history, the current medical management, and the current physiologic monitors to produce warnings and alerts to enable practitioners to be made aware of physiologic systems at risk, (physiologic systems in normal range, borderline normal range, and abnormal range of function). These data are not only presented, but also use real-time queries and calculations to enable practitioners to have the types of data that would traditionally assist them in patient care but only be available by reviewing the medical literature and/or doing retrospective individual calculations while providing patient care.

Abstract: An airway device is provided that may track the flow of respiratory gases through the device with sensing elements at a plurality of locations along the gas flow path of the device. Such a device may be useful for assessing a variety of clinical states, for adjusting patient ventilator settings, or for determining whether or not an airway device has been properly inserted into a patient airway.

Abstract: The invention relates to a system for the early detection of life-threatening conditions of persons, wherein such risks exist, for example, due to a preceding operation. The system detects a plurality of vital parameters depending on the person to be monitored by means of a detector unit that is subsequently evaluated by an evaluation logic using a neuronal network. Individual parameters that exceed thresholds and constellations of parameters that represent a critical health condition of the person are displayed in different forms by means of a display device, depending on the risk. Said risk is determined in that the probability of the presence of a health anomaly is first determined and then evaluated.

Abstract: An exemplary method includes providing information (e.g., a left atrial pressure, a NYHA class, echocardiographic information, etc.), based at least in part on the information, determining a weight and, based at least in part on the weight, determining a threshold for use in intrathoracic impedance monitoring. Such an exemplary method may include comparing an intrathoracic impedance to the threshold, comparing an intrathoracic impedance change to the threshold, or comparing a product of intrathoracic impedance and time to the threshold. Various exemplary methods, devices, systems, etc., are disclosed.

Abstract: An apnea classification system provides for apnea monitoring and differentiation based on several sleep apnea related parameters for diagnostic and therapeutic purposes. Monitoring of such sleep apnea related parameters allows the apnea classification system to differentiate among the different types of apnea and hypopnea and to identify an occurrence of periodic respiration. This information may then be used to determine the best method of therapy, or adjust current therapy parameters to more effectively treat a subject.

Abstract: According to embodiments, a respiration signal may be processed to normalize respiratory feature values in order to improve and/or simplify the interpretation and subsequent analysis of the signal. Data indicative of a signal may be received at a sensor and may be used to generate a respiration signal. Signal peaks in the respiration signal may be identified and signal peak thresholds may be determined. The identified signal peaks may be adjusted based on the signal peak threshold values to normalize the respiration signal.

Abstract: This disclosure describes systems and methods for displaying alarms to a clinician in a ventilatory system. Specifically, embodiments described herein seek to optimize the informative presentation of alarms on a ventilator interface. Embodiments of the present disclosure may provide one or more selection elements, each selection element indicating a ranked alarm event. The ranking of an alarm event may be determined by alarm level. If two alarm events are associated with the same alarm level, the ranking of the alarm events may be determined by parameter priority. Alarm event ranking is communicated by display in a hierarchical structure. When an alarm event ranking changes, the alarm event may shift up or down the hierarchical structure, depending on whether the ranking increased or decreased.

Abstract: Systems and methods are disclosed determining a pulmonary function by mounting one or more sensors intra-orally; capturing intra-oral data; and determining the pulmonary function based on an analysis of the intra-oral data.

Abstract: Apparatus and methods for a MEMS-fabricated variable capacitor. In one embodiment the capacitor is a comb drive comprising a plurality of plates interdigitated with a corresponding blades. As the plates move relative to the blades, the capacitance of the sensor changes. The capacitor is sufficiently sensitive to measure respiratory pressure in an animal.

Abstract: This disclosure describes, among other features, systems and methods for using multiple physiological parameter inputs to determine multiparameter confidence in respiratory rate measurements. For example, a patient monitoring system can programmatically determine multiparameter confidence in respiratory rate measurements obtained from an acoustic sensor based at least partly on inputs obtained from other non-acoustic sensors or monitors. The patient monitoring system can output a multiparameter confidence indication reflective of the programmatically-determined multiparameter confidence. The multiparameter confidence indication can assist a clinician in determining whether or how to treat a patient based on the patient's respiratory rate.

Abstract: A method of intubating a subject is disclosed. The method comprises inserting an endotracheal tube into the tracheal airway of the subject; inflating a cuff associated with the endotracheal tube within the airway below the vocal cords; measuring a level of at least one measure being indicative of leakage of secretion past the cuff to the lungs; comparing the level of the measure with an optimal level of the measure; and adjusting inflation of the cuff based on the comparison so as to generally minimize leakage of secretion from above the cuff to the lungs, while minimizing pressure associated damages to the airway. The measure(s) can be carbon dioxide concentration, a proxy measure from which such concentration can be inferred, or the level of one or more additives delivered to a subject during intubation.

Abstract: A portable activity monitoring device comprising a housing having a physical size and shape that is adapted to couple to the user's body, a motion sensor to detect user motion and, in response thereto, to generate data which is representative of motion of the user, an altitude sensor to detect a change in user altitude and, in response thereto, to generate data which is representative of the change in altitude of the user, processing circuitry to calculate activity metrics of the user, wherein the processing circuitry: (i) calculates a motion metric using the motion data, (ii) calculates an altitude metric using the altitude data, and (iii) calculates at least one sleep metric of the user. In certain embodiments, the processing circuitry may automatically determine a sleep mode of the user using the motion data and calculate at least one user sleep metric.

Abstract: Methods for detecting a seizure, by use of a short term average/long term average (STA/LTA) algorithm applied to body data. A non-transitive, computer-readable storage device for storing data that when executed by a processor, perform such a method.

Abstract: A method for grouping airway and artery pairs, includes: computing a two-dimensional (2D) cross-section of an airway; identifying regions of high-intensity in the 2D cross-section; computing a first indicator for each of the high intensity regions, wherein the first indicator is an orientation measure of the high intensity region with respect to the airway; computing a second indicator for each of the high intensity regions, wherein the second indicator is a circularity measure of the high intensity region; computing a third indicator for each of the high intensity regions, wherein the third indicator is a proximity measure of the high intensity region with respect to the airway; summing the first through third indicators for each of the high intensity regions to obtain a score for each of the high intensity regions; and determining which of the high intensity regions is an artery corresponding to the airway based on its score.

Abstract: A physiological acoustic monitoring system receives physiological data from an acoustic sensor, down-samples the data to generate raw audio of breathing sounds and compresses the raw audio. The acoustic monitoring system has an acoustic sensor signal responsive to tracheal sounds in a person. An A/D converter is responsive to the sensor signal so as to generate breathing sound data. A decimation filter and mixer down-samples the breathing sound data to raw audio data. A coder/compressor generates compressed audio data from the raw audio data. A decoder/decompressor decodes and decompresses the compressed audio data into decompressed audio data. The decompressed audio data is utilized to generate respiration-related parameters in real-time. The compressed audio data is stored and retrieved so as to generate respiration-related parameters in non-real-time. The real-time and non-real-time parameters are compared to verify matching results across multiple monitors.

Abstract: According to some embodiments, there is provided a medical monitoring device that includes one or more sensors, wherein a sensor is adapted to sense a parameter of a patient and computator adapted to receive an output of at least one sensor and to compute a condition-index-value directly related to a condition of the patient.

Abstract: A patient monitoring system may determine one or more reference points of a physiological signal. The system may select one or more fiducial points on the physiological signal relative to the reference points. The one or more fiducial points may be selected by selecting a point spaced by a time interval relative to one of the reference points. The time interval may be a predetermined constant, or the time interval may depend on physiological information. The system may generate a fiducial signal based on the selected fiducial points, calculate physiological information such as a respiration rate based on the selected fiducial points, or both.

Abstract: Disclosed are computer-implemented techniques for analyzing physiology based on electrodermal activity. Initially, an individual's autonomic data is captured into a computer system. The autonomic data provides information for evaluating the physiology of the individual. The autonomic data is captured through at least one sensor. Analysis, based on the autonomic data captured on the individual, is received from a web service. An output related to physiology is rendered based on the analysis which was received.

Abstract: A signal representing physiological information may include information related to respiration. A patient monitoring system may generate a plurality of autocorrelation sequences from the signal and combine the autocorrelation sequences to generate a combined autocorrelation sequence. The combined autocorrelation sequence may be analyzed to identify one or more peaks that may correspond to respiration information. Respiration information such as respiration rate may be determined based on the one or more peaks.

Abstract: A signal representing physiological information may include information related to respiration. A patient monitoring system may utilize a wavelet transform to generate a scalogram from the signal. A threshold for the scalogram may be calculated, and scalogram values may be compared to the threshold. One of the scales meeting the threshold may be selected as representing respiration information such as respiration rate. The respiration information may be determined based on the selected scale.

Abstract: A method of conditioning a diaphragm of a patient is provided. The method can include the steps of implanting an electrode adjacent a target site in the diaphragm of the patient and operating the electrode to deliver a sufficient amount of electrical stimulation to the target site in the diaphragm of the patient to cause the diaphragm to contract.

Abstract: A method is provided for predicting an onset of an asthma attack. The method includes sensing at least one parameter of a subject without contacting or viewing the subject or clothes the subject is wearing, and predicting the onset of the asthma attack at least in part responsively to the sensed parameter. Also provided is a method for predicting an onset of an episode associated with congestive heart failure (CHF), including sensing at least one parameter of a subject without contacting or viewing the subject or clothes the subject is wearing, and predicting the onset of the episode at least in part responsively to the sensed parameter. Other embodiments are also described.

Abstract: Humidity profiles of exhaled air of individuals obtained using a sensor to detect water vapor content or temperature versus time of exhalation may exhibit an irregularity indicative of a space-occupying respiratory system lesion. Detection of such irregularities provides an inexpensive and rapid means of pre-screening individuals for lung cancer diagnosis, and is applicable even to individuals with other respiratory disorders such as asthma and COPD.

Abstract: A method is disclosed for motivating a user of a spirometry system having a display screen, an air-tube, a flow measurement sensor operatively associated with the air-tube, a display screen, and an associated processor. A motivational animation is displayed on the display screen having a first aspect that reflects a relative evaluation of a determined peak flow rate to a goal value therefor and having a second aspect that reflects a relative evaluation of a determined total flow volume to a goal value therefor. The processor repeatedly updates the motivational animation during the period of use of the spirometer to reflect the degree of achievement of both of the goal values by the user.

Abstract: A wake-to-sleep transition for a subject is detected based on responsiveness to breathing cues provided to the subject. A pressurized flow of breathable gas to the airway of subject having one or more gas parameters that are adjusted to provide breathing cues to the subject. Based on a detected conformance of the respiration of the subject to the breathing cues, a determination is made as to whether the subject is awake or asleep.

Abstract: The present invention includes an apparatus and a method for testing exhaled breath condensate for at least one biometric marker, including a substrate for collecting exhaled breath condensate, the substrate capable of being brought to a temperature below a dew point of vapor in exhaled breath, a collector for retaining the substrate and for receiving a biometric marker reagent. The invention may further include receiving exhaled breath in a collector, the collector comprising a substrate, the substrate being at a temperature below a dew point of vapor in exhaled breath, collecting the exhaled breath condensate on the substrate, and bringing a biometric marker reagent in contact with the substrate.

Abstract: A medical device system and associated method discriminating conditions that includes a plurality of sensors, a sensing module coupled to the plurality of sensors and configured to acquire signals from the plurality of sensors, and a processor coupled to the sensing module and configured to determine a change in a respiratory related sounds in response to a signal from a sensor of the plurality of sensors, select one or more sensors of the plurality of sensors associated with the determined change, determine a respiratory signature in response to signals from the selected one or more sensors, and determine the respiratory condition in response to the determined respiratory signature.

Abstract: A photoplethysmography apparatus and method is provided for high resolution estimating of Time-Frequency Spectra (TFS) and associated amplitudes using Variable Frequency Complex Demodulation (VFCDM), in a two-step procedure using a Time-Varying Optimal Parameter Search (TVOPS) technique to obtain TFS, followed by VFCDM to obtain even greater TFS resolution and instantaneous amplitudes associated with only specific frequencies of interest, via the combined TVOPS and VFCDM.

Abstract: A method and apparatus that provides an expert system for determining respiratory phase during ventilatory support of a subject. Discrete phase states are partitioned and prior probability functions and observed probability functions for each state are defined. The probability functions are based upon relative duration of each state as well as the flow characteristics of each state. These functions are combined to determine phase probabilities for each state using Bayes' theorem. The calculated probabilities for the states may then be compared to determine which state the subject is experiencing. A ventilator may then conform respiratory support in accordance with the most probable phase. To provide a learning feature, the probability functions may be adjusted during use to provide a more subject specific response that accounts for changing respiratory characteristics.

Abstract: A system for non-contact respiratory detection includes a non-contact respiratory detecting device and a processor. The non-contact respiratory detecting device detects respiratory data or a respiratory model of a user. The processor analyzes the respiratory data or the respiratory model to obtain a respiratory analysis result.

Abstract: An embodiment of the invention is directed to a method for the real time monitoring and measurement of sleep quality of a subject comprising the steps of; obtaining information from the subject using sensory signals; analyzing the information contained within the signals using signal processing and artificial intelligence; and using the analyzed information to create a protocol to improve the sleep quality of the subject. Another embodiment of the invention is directed to a system for real time monitoring and measurement of sleep quality of a subject comprising: a means for obtaining sensory information from the subject; a means for transmitting the sensory information; a means for analyzing the sensory information; and a means for creating a protocol to improve the sleep quality of the subject.

Abstract: A docking apparatus comprises a processor, a battery charging module, a storage device, and one or more ports, which are configured to couple with patient monitoring units. Each patient monitoring unit is operable to monitor at least one physiological parameter of a patient. The battery charging module charges the patient monitoring units through the ports. The storage device stores data received from the patient monitoring units through the ports. The processor transmits updates to the patient monitoring units through the ports. The ports may comprise sockets that receive plugs from cables of the patient monitoring units. The docking apparatus may comprise a plurality of separate dock housings associated with corresponding patient monitoring units. These dock housings being joined together in a daisy chain. The docking apparatus may also include a plurality of docking recesses in a single housing, with each docking recess being associated with a corresponding patient monitoring unit.

Abstract: A method is provided for predicting an onset of a clinical episode, the method including sensing breathing of a subject, determining at least one breathing pattern of the subject responsively to the sensed breathing, comparing the breathing pattern with a baseline breathing pattern, and predicting the onset of the episode at least in part responsively to the comparison. Other embodiments are also described.

Abstract: A method for extracting the feature of an abdominal breathing is disclosed, capable of extracting the feature of an abdominal breathing, without the requirement of a standard model of an abdominal breathing and the execution of a learning process being executed prior to the method for extracting the feature of an abdominal breathing. By means of computing a plurality of intrinsic mode functions corresponding to the abdominal breathing signal received, an Euler angle function and an instantaneous frequency function of each of the plurality of intrinsic mode functions, and comparing the plurality of instantaneous frequency function with a pre-determined zero-point threshold region, the method for extracting the feature of an abdominal breathing defines one of the plurality of instantaneous frequency function as an abdominal breathing feature function, which contains the feature of the abdominal breathing. In this way, the feature of an abdominal breathing is extracted.

Abstract: A method of diagnosis. The method can include the steps of sampling the breathing of a patient and from the sampling, obtaining a waveform corresponding to a pattern of the breathing of the patient in which the waveform is a repetitive waveform that is indicative of a carbon dioxide concentration in air expired by the patient. The method can also include the steps of processing the waveform to obtain a set of data that reflects the carbon dioxide concentration in the expired air and based on the processing of the waveform, detecting a potential adverse respiratory event in the patient.

Abstract: A method for diagnosis of diseases adopted on an electronic stethoscope which includes at least two sound receiving portions, a noise control portion, a processing portion, a data portion and an output portion. The method includes: first, the sound receiving portions receive sound signals issued from a patient's lungs included external noises; next, the sound signals are sent to the noise control portion which eliminates the external noise, and the processing portion to be overlapped and intensified; then characteristic values are retrieved from the sound signals to be compared with disease sound signal data in the data portion; finally the output portion outputs a diseases judgment result. Thus the electronic stethoscope can perform automatic interpretation of diseases to reduce human erroneous diagnostic judgment. Users also can get preliminary understanding of their body conditions when doctors are absent.

Abstract: Systems and methods provide for assessing the heart failure status of a patient and, more particularly, to generating a trend parameter based on a distribution of the patient's respiration rate. Systems and methods provide for detecting, using an implantable device or a patient-external device, patient respiration and computing a respiration rate based on the detected patient respiration. A distribution of the respiration rate is calculated, and a trend parameter based on the respiration rate distribution is generated. The trend parameter is indicative of a patient's heart failure status. An output signal indicative of the patient's heart failure status may be generated based on the trend parameter.

Abstract: A method of determining a respiration parameter in a medical device in which pressure signals are sensed to generate corresponding sample points, and a breath detection threshold is continuously adjusted in response to the generated sample points to generate a current adjusted breath detection threshold. A current generated sample point is compared to the current adjusted breath detection threshold, and the continuous adjusting of the breath detection threshold is suspended and the breath detection threshold is equal to the most current adjusted breath detection threshold generated prior to the suspending in response to the comparing. A next sample point, generated subsequent to the suspending, is compared to the set breath detection threshold, and the respiration parameter is determined in response to the comparing of a next sample point to the set breath detection threshold.

Abstract: The present invention provides a system for measuring biomarker analytes indicative of various diseases comprising an array of sensors sensitive to volatile organic compounds. Particularly, the system is composed of a random network of single-walled carbon nanotubes (SWCNTs) coated with non-polar small organic molecules in conjunction with learning and pattern recognition algorithms. Methods of discriminating between breath samples of healthy individuals and of lung cancer patients are disclosed.

Abstract: A method for determining the respiratory flow of a patient receiving bi-level respiratory therapy is provided. The method may include measuring the total air flow through a breathing area at a time approximately when the patient has completed exhalation, measuring the pressure in the breathing area, determining a constant representing a corrective flow factor by dividing the measured total air flow by the square root of the measured pressure, and determining the patient's respiratory flow by subtracting from a subsequent total air flow the product of constant and the square root of a subsequent pressure.

Abstract: Aspects of the of the disclosure relate to a non-contact physiological motion sensor and a monitor device that can incorporate use of the Doppler effect. A continuous wave of electromagnetic radiation can be transmitted toward one or more subjects and the Doppler-shifted received signals can be digitized and/or processed subsequently to extract information related to the cardiopulmonary motion in the one or more subjects. The extracted information can be used, for example, to determine apneic events and/or snoring events and/or to provide apnea or snoring therapy to subjects when used in conjunction with an apnea or snoring therapy device. In addition, methods of use are disclosed for sway cancellation, realization of cessation of breath, integration with multi-parameter patient monitoring systems, providing positive providing patient identification, or any combination thereof.

Abstract: According to embodiments, estimated values for a signal transform may be generated using estimated values for the signal. Signal parameters may then be determined based on the estimated signal transform. A first portion of a signal may be obtained. A second portion of the signal may be estimated. The second portion of the signal may correspond to a portion of the that is unknown, that is not yet available and/or that is obscured by noise and/or artifacts. A transform (e.g., a continuous wavelet transform) of both of the signal portions may be performed. One or more parameters corresponding to the signal may then be determined from transformed signal.

Abstract: An apnea classification system provides for apnea monitoring and differentiation based on several sleep apnea related parameters for diagnostic and therapeutic purposes. Monitoring of such sleep apnea related parameters allows the apnea classification system to differentiate among the different types of apnea and hypopnea and to identify an occurrence of periodic respiration. This information may then be used to determine the best method of therapy, or adjust current therapy parameters to more effectively treat a subject.

Abstract: Function testing of a ventilator using an EMG or other bioelectric signal representative of the breathing of the patient to control ventilation is enabled by a simulating device for use with a breathing related device for monitoring and/or controlling a patient's breathing, the simulating device including a signal generator for providing a simulated bioelectric compound signal related to the patient's breathing function, and a contact for outputting the simulated bioelectric compound signal. The simulating device can also be used for training purposes and in the development of new ventilators.

Abstract: Disclosed is a device, method and computer readable media for determining the adequacy of Cardiopulmonary Resuscitation (CPR). The device comprises an electrical source generator, an electrical signal sensor receiving a signal from the electrical source generator and a microprocessor. The microprocessor determines changes in impedance of the patient based on the signal received from the electrical signal sensor. Software executing on the microprocessor determines at least one of intrathoracic volume, change in intrathoracic volume, rate of compression, depth of compression, respiratory volume, and respiratory rate based on the change of impedance of the patient and outputs a signal indicating the adequacy of ventilation and compressions.

Abstract: The present invention involves a method and an apparatus for analyzing measured signals, including the determination of a measurement of oxygen saturation and respiration rate in the measured signals during a calculation of a physiological parameter of a monitored patient. Use of this invention is described in particular detail with respect to oximetry-based measurements but extends to other types of measurements.

Abstract: A method for analyzing lunch function includes receiving, at a signal generating device, an output of a respiratory maneuver, where the output of the respiratory maneuver includes one or more respiratory parameters. The method also includes producing, at the signal generating device, a signal corresponding to the output of the respiratory maneuver based on the one or more respiratory parameters, wherein the signal describes one or more characteristics of the respiratory maneuver. The method further comprises transmitting the signal from the signal generating device to a signal receiving device at a remote location over a network.