Abstract: A system and method provide for systolic interval analysis. In an example, an implantable device measures a cardiac impedance signal. A transformation of the cardiac impedance interval is generated. The device also measures a heart sound signal. A time interval between a point on the transformed signal of the cardiac impedance signal and a point on the heart sound signal is calculated.

Abstract: A medical diagnosis system includes recording at least one sound generated from a portion of an internal organ of a patient. Further, the medical diagnosis system includes comparing the at least one sound to a pre-recorded sound of a plurality of pre-recorded sounds for identifying a sound from the at least one sound. Thereafter, the medical diagnosis system includes storing the sound to a memory location based on the identification of the sound from the at least one sound. The sound is stored in form of an electronic file. The electronic file corresponding to the sound is capable of providing diagnostic inputs and a written display corresponding to the diagnosis for a diagnosis of the sound.

Abstract: Systems and devices to gather data from a subject's heart, analyze said data to determine whether the subject is experiencing cardiac arrhythmia, and display results of said determining. Use, and display of cardiac condition information, are preferably simple and unambiguous to untrained users.

Abstract: Methods and apparatus for utilizing multiple sources of physiologic data to enhance measurement robustness and accuracy. In one embodiment, phonocardiography or “heart sounds” data is used in combination with one or more other techniques (for example, impedance cardiography or ICG waveforms, and/or electrocardiography or ECG waveforms) to provide more accurate and robust physiological and/or hemodynamic assessment of living subjects. In one variant, the aforementioned methods and apparatus are used to improve ICG fiducial point (e.g., B, C and X point) detection and identification accuracy. Moreover, the new ICG fiducial points that may be clinically important may be identified using the disclosed methods and apparatus. In a further aspect, the invention discloses methods and apparatus for utilization of ICG and/or ECU waveform information to improve the identification and characterization of heart sounds (such as e.g., S1, S2, S3, or S4 heart sounds), murmurs, and other such artifacts or phenomena.

Abstract: A system and method provide heart sound tracking, including an input circuit, configured to receive heart sound information, and a heart sound recognition circuit. The heart sound recognition circuit can be coupled to the input circuit and can be configured to recognize, within a particular heart sound of a particular heart sound waveform, a first intra heart sound energy indication and a corresponding first intra heart sound time indication using the heart sound information from the particular heart sound waveform and the heart sound information from at least one other heart sound waveform. The particular heart sound can include at least a portion of one of S1, S2, S3, and S4. Further, the first intra heart sound energy indication and the corresponding first intra heart sound time indication can correspond to the at least a portion of one of S1, S2, S3, and S4, respectively.

Abstract: A method includes acquiring vibrational cardiac data from an array of N transducers wherein the transducers are coupled to a human. A master replica is selected from a segment of the vibrational cardiac data. The master replica is correlated with the segment to obtain a plurality of local maxima. Vibrational cardiac data that were emitted during a diastolic interval are extracted from each heart cycle with the aid of the plurality of local maxima. A two-dimensional space-time frequency power spectrum is processed for Equivalent Rectangular Bandwidth, which provides estimates of the energy produced by turbulent blood flow through a coronary stenosis.

Abstract: This method for analysing the sounds of body fluid flows includes:—simultaneously acquiring (2) sounds from various locations of a body;—identifying (6) the points of maximum sound intensity (PMIs) of the acquired sounds for each acquisition instant;—determining (10) the source locations of the acquired sounds; and—determining (12, 14) the sound radiation patterns of the acquired sounds. A corresponding device, system and program perform this method.

Abstract: To provide a non-invasive blood pressure estimation apparatus, which can accurately estimate systolic blood pressure from blood flow sound of a dialysis patient and continuously estimate systolic blood pressure by continuously picking up the blood flow sound. A blood pressure estimation apparatus creates a standard pulse curve by relating a start point and end point of a rising phase of a pulse wave to diastolic blood pressure and systolic blood pressure, respectively, creates a correspondence curve between blood flow sound power and estimated blood pressure by contrasting the standard pulse curve with the blood flow sound power curve obtained from blood flow sound at a shut site, with the two curves plotted on the same time axis, derives a systolic blood pressure estimation linear function from the correspondence curve, inputs a measured maximum value of the blood flow sound power into the linear function, and thereby estimates systolic blood pressure.

Abstract: An arteriosclerosis diagnostic device according to various embodiments is a simple device, resistant to an external factor, such as an error resulting from a skin surface, and capable of measuring the degree of hardness of an artery. The arteriosclerosis diagnostic device detects a heart sound and a pulse wave at least one location of a living body, the pulse wave propagating through an artery in relation to the heart sound, converts detected signals thereof into respective frequency signals, specifies the peak frequency of each of the frequency signals, and determines the degree of arteriosclerosis on the basis of the difference between the peak frequency of the heart sound and the peak frequency of the pulse wave. Accordingly, the degree of arteriosclerosis can be determined by comparison between the frequency signals.

Abstract: A presence sensor system includes at least one resilient extending member defining an enclosed sensing volume. The sensing volume includes a fluid therein. A pressure within the sensing volume changes upon application of force to the extending member. The presence sensor system further includes a pressure sensor in fluid connection with the sensing volume, a processor system in communicative connection with the pressure sensor and a communication system in communicative connection with the processor system. In a number of embodiments, the presence sensor system is adapted to determine a pressure threshold associated with onset of presence after being placed in use.

Abstract: A cardiac rhythm management system includes a heart sound detector providing for detection of the third heart sounds (S3). An implantable sensor such as an accelerometer or a microphone senses an acoustic signal indicative heart sounds including the second heart sounds (S2) and S3. The heart sound detector detects occurrences of S2 and starts S3 detection windows each after a predetermined delay after a detected occurrence of S2. The occurrences of S3 are then detected from the acoustic signal within the S3 detection windows.

Abstract: A vector method for monitoring a subject's hemodynamic condition including (a) utilizing at least one, external or internal, anatomy-attached, three-axis accelerometer, collecting from the subject, during a selected cardiac cycle, related, three-orthogonal-axes accelerometer signal data, (b) following such collecting, processing collected signal data to obtain associated, signal vector, magnitude and directionality information, and (c) analyzing such obtained vector information for assessment of the subject's heart hemodynamic condition. ECG and signal time-frequency data is also collected and used in certain manners and implementations of the invention.

Abstract: A computer method, employable during an at-rest period of a pacemaker patient, for controlling the operation of the pacemaker so as maximally to support the patient's hemodynamic behavior in a context involving inhibiting fluid overload. The method involves (a) collecting simultaneously occurring ECG and heart-sound information, (b) processing the collected information to obtain at least S3 data, and in certain instances also EMAT and/or % LVST data, (c) utilizing such obtained data, and during the at-rest period, applying (a) pacing rate, (b) pacing intensity, (c) atrio-ventricular delay, and (d) inter-ventricular delay control to the pacemaker.

Abstract: A cardiac rhythm management system provides for ambulatory monitoring of hemodynamic performance based on quantitative measurements of heart sound related parameters for diagnostic and therapeutic purposes. Monitoring of such heart sound related parameters allows the cardiac rhythm management system to determine a need for delivering a therapy and/or therapy parameter adjustments based on conditions of a heart. This monitoring also allows a physician to observe or assess the hemodynamic performance for diagnosing and making therapeutic decisions. Because the conditions of the heart may fluctuate and may deteriorate significantly between physician visits, the ambulatory monitoring, performed on a continuous or periodic basis, ensures a prompt response by the cardiac rhythm management system that may save a life, prevent hospitalization, or prevent further deterioration of the heart.

Abstract: A hospitalization management system including a heart failure analyzer that receives diagnostic data including at least sensor data representative of one or more physiological signals sensed from a hospitalized patient using one or more sensors and assesses risk of rehospitalization for the patient using the diagnostic data. The outcome of the risk assessment is used during and following the patient's hospitalization for reducing the risk of rehospitalization.

Abstract: A medical device system includes electrodes for delivering cardiac pacing pulses to a patient's heart, a cardiac sensing module coupled to the electrodes and a cardiac pacing module coupled to the electrodes for generating cardiac pacing pulses. An acoustical sensor is used for obtaining heart sound signals. The system includes a processor that is configured to establish multiple conditions during which heart sound signals are received. The processor derives heart sound signal parameters from the heart sound signals and determines a heart sound profile comprising a trend of each of the heart sound signal parameters with respect to the multiple established conditions.

Abstract: A system and method provide for systolic interval analysis. In an example, an implantable device measures a cardiac impedance signal. A transformation of the cardiac impedance interval is generated. The device also measures a heart sound signal. A time interval between a point on the transformed signal of the cardiac impedance signal and a point on the heart sound signal is calculated.

Abstract: An electronic catheter stethoscope measures and analyzes acoustic fields and dynamic pressure variations in the gaseous or liquid fluid inside a conventional medical catheter that is positioned in a patient's urologic, digestive, reproductive, cardiovascular, neurological or pulmonary system. Measurement transducers are installed in a housing connectable to multiple preselected medical catheters. The transducers detect bodily functions that are transmitted to the preselected catheter from within the body. The transducers, housing, electrical interface and signal processing electronics are positioned outside the body.

Abstract: A method for acquiring, externally or internally, for utility purposes a subject's anatomical heart-sound information including (a) for a selected time period, applying continuous, near-sensor-mechanical-resonance, vibratory stimulation to an acoustic sensor placed on or within the subject's anatomy, and (b) during that time period, detecting, as direct indications of heart sounds, changes in the sensor's physical resonance properties produced by heart sounds arriving at the sensor.

Abstract: A method of analysis is disclosed. The method comprises receiving a non-ECG signal indicative of heart beats of a sleeping subject; extracting from the signal a series of inter-beat intervals (IBI); calculating at least one Poincare parameter characterizing a Poincare plot of the IBI series; and using the Poincare parameter(s) to determine a REM sleep of the sleeping subject. In some embodiments, sleep stages other than REM sleep and/or wake stages are determined.

Abstract: An implantable device and method for monitoring S1 heart sounds with a remotely located accelerometer. The device includes a transducer that converts heart sounds into an electrical signal. A control circuit is coupled to the transducer. The control circuit is configured to receive the electrical signal, identify an S1 heart sound, and to convert the S1 heart sound into electrical information. The control circuit also generates morphological data from the electrical information. The morphological data relates to a hemodynamic metric, such as left ventricular contractility. A housing may enclose the control circuit. The housing defines a volume coextensive with an outer surface of the housing. The transducer is in or on the volume defined by the housing.

Abstract: A passive stethoscope chest piece has a chest piece housing containing a passive piezoelectric (piezo) element mounted within a metal housing. The piezo element converts body signals to an electrical representation. A pair of electrical connections attached to the metal plate and the piezoelectric layer of the piezo element pass the electrical representation outside the housing for processing by external circuitry. This abstract is not to be considered limiting, since other embodiments may deviate from the features described in this abstract.

Abstract: A cardiac rhythm management system includes a heart sound detector providing for detection of the third heart sounds (S3). An implantable sensor such as an accelerometer or a microphone senses an acoustic signal indicative heart sounds including the second heart sounds (S2) and S3. The heart sound detector detects occurrences of S2 and starts S3 detection windows each after a predetermined delay after a detected occurrence of S2. The occurrences of S3 are then detected from the acoustic signal within the S3 detection windows.

Abstract: The present invention refers to a signal processing apparatus and its method of operation. The apparatus comprises a phonocardiogram interface adapted to receive a phonocardiogram signal captured according to a first set of capturing properties, a processor adapted to analyze the phonocardiogram signal to determine an analysis result for the phonocardiogram signal and a confidence value of the determined analysis result, and a flow control adapted to determine, whether a subsequent capture of the phonocardiogram signal according to a second set of capturing properties is likely to improve an accuracy of the determined analysis result. If applicable the flow control coordinates the subsequent capture of the phonocardiogram signal according to the second set of capturing properties The invention also refers to a corresponding computer program product.

Abstract: A method for discriminating heart sound is provided. The method comprises the following steps. A heart-sound signal is provided. A specific function calculation is performed on the heart-sound signal to generate a first calculation signal and suppress the noise of the heart-sound signal. The filtering signal is transformed to generate data for an image plots. The image plot corresponding to the data generated in the previous step is generated and compared with data of heart-sound plots and the comparison result is used for discriminating the heart sound.

Abstract: A trainable, adaptable system for analyzing functional or structural clinical data can be used to identify a given pathology based on functional data. The system includes a signal processor that receives functional data from a device monitoring a subject and normalizes the functional data over at least one cycle of functional data. The system also includes a neural network having a plurality of weights selected based on predetermined data and receiving and processing the normalized functional data based on the plurality of weights to generate at least one metric indicating a degree of relation between the normalized functional data to the predetermined data. A diagnostic interpretation module is included for receiving the at least one metric from the neural network and classifying the functional data as indicative of the given pathology or not indicative of the given pathology based on a comparison of the at least one metric to at least one probability distribution of a likelihood of the given pathology.

Abstract: A measuring device for a magnetic resonance device is provided. The measuring device has a sensor unit. The sensor unit includes at least one acoustic sensor element for detecting heart sounds of a patient. The sensor unit also includes a resonating body unit. The resonating body unit has a hollow space for filtering interfering signals emitted by the magnetic resonance device from the heart sounds of the patient.

Abstract: A cardiac rhythm management system provides for the trending of a third heart sound (S3) index. The S3 index is a ratio, or an estimate of the ratio, of the number of S3 beats to the number of all heart heats, where the S3 beats are each a heart beat during which an occurrence of S3 is detected. An implantable sensor such as an accelerometer or a microphone senses an acoustic signal indicative heart sounds including S3. An S3 detector detects occurrences of S3 from the acoustic signal. A heart sound processing system trends the S3 index on a periodic basis to allow continuous monitoring of the S3 activity level, which is indicative of conditions related to heart failure.

Abstract: A measuring device is provided. The measuring device has at least one sensor unit for capturing a cardiac signal, a postprocessing unit and a signal transfer unit for signal transfer between the at least one sensor unit and the postprocessing unit. The at least one sensor unit has at least one acoustic sensor element.

Abstract: A patient-specific model can show changes in cardiac stroke volume or cardiac output, such as to predict heart failure or to indicate cardiac remodeling. The patient-specific model can be derived from a surrogate indication of a cardiac stroke volume, such as a physical activity level, and features obtained from a thoracic impedance waveform, such as mean or peak-to-peak impedance values. In an example, several models corresponding to different patient physical activity levels can be determined.

Abstract: A cap composition that can mechanically attach to a stethoscope headpiece, the cap composition having a cap; a cap element having a design that includes a shape and characteristic dimensions that enable the cap to mechanically attach to a stethoscope headpiece; and a speaker attached to and positioned on or at least partially within the cap, such that when the cap is attached to the stethoscope headpiece, the speaker is either touching or proximate to the stethoscope diaphragm such that a sound or signal emitted by the speaker can cause the stethoscope diaphragm to vibrate.

Abstract: Exemplary techniques and systems for interpolating left ventricular pressures are described. One technique interpolates pressures within the left ventricle from blood pressures gathered without directly sensing blood pressure in the left ventricle.

Abstract: Methods and apparatus for utilizing multiple sources of physiologic data to enhance measurement robustness and accuracy. In one embodiment, phonocardiography or “heart sounds” data is used in combination with one or more other techniques (for example, impedance cardiography or ICG waveforms, and/or electrocardiography or ECG waveforms) to provide more accurate and robust physiological and/or hemodynamic assessment of living subjects. In one variant, the aforementioned methods and apparatus are used to improve ICG fiducial point (e.g., B, C and X point) detection and identification accuracy. Moreover, the new ICG fiducial points that may be clinically important may be identified using the disclosed methods and apparatus. In a further aspect, the invention discloses methods and apparatus for utilization of ICG and/or ECG waveform information to improve the identification and characterization of heart sounds (such as e.g., S1, S2, S3, or S4 heart sounds), murmurs, and other such artifacts or phenomena.

Abstract: New algorithms to estimate cardiovascular indices by analysis of the arterial blood pressure (ABP) signal. The invention comprises recording and identification of cardiovascular descriptors (including ABP signal, diastolic pressure, systolic pressure, pulse pressure, and end systole), calculation of cardiovascular system parameters, and calculation of aortic blood flow, stroke volume, cardiac output, total peripheral resistance, and characteristic time constant.

Abstract: An implantable device and method for monitoring S1 heart sounds with a remotely located accelerometer. The device includes a transducer that converts heart sounds into an electrical signal. A control circuit is coupled to the transducer. The control circuit is configured to receive the electrical signal, identify an S1 heart sound, and to convert the S1 heart sound into electrical information. The control circuit also generates morphological data from the electrical information. The morphological data relates to a hemodynamic metric, such as left ventricular contractility. A housing may enclose the control circuit. The housing defines a volume coextensive with an outer surface of the housing. The transducer is in or on the volume defined by the housing.

Abstract: An electronic device includes an upper layer made of a non-conductive material; a lower layer made of a non-conductive material, wherein at least one of the upper layer and the lower layer is made of a resilient material having a sufficient elasticity such that it will return to an original shape after being deformed, wherein the upper layer comprises an upper conductor and the lower layer comprises a lower conductor and a space is provided between the upper conductor and the lower conductor such that the upper conductor and the lower conductor are not in contact until a force is applied to deform at least one of the upper layer and the lower layer. A sensor device for human body testing connected with the lower conductor, or the lower conductor is configured to function as part of a sensor device for human body testing.

Abstract: A signal extracting apparatus is provided based on independent component analysis with reference for a single measured signal as a signal processing technique that allows stable and quick extraction of a target signal from single measured signal even in a high-noise environment with a high noise ratio against a target signal to be extracted.

Abstract: A wireless fetal and maternal monitoring system includes a fetal sensor unit adapted to receive signals indicative of a fetal heartbeat, the sensor optionally utilizing a Doppler ultrasound sensor. A short-range transmission unit sends the signals indicative of fetal heartbeat to a gateway unit, either directly or via an auxiliary communications unit, in which case the electrical coupling between the short-range transmission unit and the auxiliary communications unit is via a wired connection. The system includes a contraction actuator actuatable upon a maternal uterine contraction, which optionally is a EMG sensor. A gateway device provides for data visualization and data securitization. The gateway device provides for remote transmission of information through a data communication network. A server adapted to receive the information from the gateway device serves to store and process the data, and an interface system to permits remote patient monitoring.

Abstract: A system and method for visualizing auditory scene analysis by way of a portable device is provided. In one embodiment, the method steps include capturing multiple sounds from a sensor array of microphones connected to the portable device, performing auditory scene analysis on detected body sounds in accordance with a psychoacoustic representation of body organ functions, and rendering to a display of the portable device a visualization of auditory scene auscultation of the body sounds, including user input functionality for separated sound source tracks, sound source identifier tracks, and sound source location trajectories.

Abstract: A method and system are provided for a portable cardio-acoustic device. The device includes a display with user input, a sensor array to capture heart related vibrations from infrasound and acoustically transmitted audible sound, and a processor to extract salient features in accordance with human factor analysis, separate heart sounds as a function of sound patterns modeled from mechanical and physiological processes of the heart, classify heart sound patterns in accordance with biologically based signal processing models of the auditory cortex and cerebellum, and diagnose and monitor cardiovascular condition based on the classification of the heart sound patterns.

Abstract: A medical diagnostic and communications apparatus with audio output comprises an electronic processor for processing stethoscope signals and secondary audio signals. An electronic stethoscope sensor is contained within a housing for transducing body sounds to electronic signals, and is operatively connected to the electronic processor. One or more secondary audio signal sources operatively connects to the electronic processor. A common audio output is connected to electronic processor to convert electronic stethoscope signals or secondary audio signals to acoustic output. These sounds may be produced separately or mixed.

Abstract: The invention relates to segmentation of cardiac acoustic signals, such as the heart sound signal, based on statistical algorithms. A duration-dependent Hidden Markov Model is disclosed which models the shifting states of the heart, based on the cardiac acoustic signal and the time spent in the given states relating to physiological events, e.g. the various states of the heart during the heart beat cycle.

Abstract: A cardiac rhythm management system provides for the trending of a third heart sound (S3) index. The S3 index is a ratio, or an estimate of the ratio, of the number of S3 beats to the number of all heart beats, where the S3 beats are each a heart beat during which an occurrence of S3 is detected. An implantable sensor such as an accelerometer or a microphone senses an acoustic signal indicative heart sounds including S3. An S3 detector detects occurrences of S3 from the acoustic signal. A heart sound processing system trends the S3 index on a periodic basis to allow continuous monitoring of the S3 activity level, which is indicative of conditions related to heart failure.

Abstract: This document discusses, among other things, a system comprising an implantable medical device (IMD) including an implantable heart sound sensor circuit configured to produce an electrical heart sound signal representative of a heart sound of a subject and a processor circuit. The processor circuit is coupled to the heart sound sensor circuit and includes a detection circuit, a heart sound feature circuit and a trending circuit. The detection circuit configured to detect a physiologic perturbation and the heart sound feature circuit is configured to identify a heart sound feature in the electrical signal. The processor circuit is configured to trigger the heart sound feature circuit in relation to a detected physiologic perturbation. The trending circuit is configured to trend the heart sound feature in relation to a recurrence of the physiologic perturbation. The processor circuit is configured to declare a change in a physiologic condition of the patient according to the trending.

Abstract: A method for measuring physiological parameters uses statistical properties, spectrum analysis and feedback mechanisms to remove the signal noise generated by human body movement from a detected physiological signal.

Abstract: The present invention relates to an improved medical device and method for accurately and reliably determining a cardiac status of a patient. An implantable medical device, IMD, comprises a sensor arrangement adapted to sense signals related to mechanical activity of the heart and an activity level sensor arrangement adapted to sense an activity level of the patient. Further, the IMD calculates a percentage of left ventricular diastolic time (PLVDT) for a cardiac cycle corresponding to a relation between a diastolic time interval and a cardiac cycle time interval using the determined systolic and diastolic time intervals or a percentage of left ventricular systolic time (PLVST) for a cardiac cycle corresponding to a relation between a systolic interval time interval and a cardiac cycle time interval. A cardiac status is determined based on the calculated PLVDT (or PLVST) and on an activity level of the patient.

Abstract: Methods and apparatus for noninvasively estimating a blood pressure are provided. A bandpass filter is applied to a second heart sound (S2) component to generate a filtered S2 component. The bandpass filter has a lower cutoff frequency greater than a maximum frequency of the S2 component. The maximum frequency of the S2 component is estimated using the filtered S2 component, a predetermined relationship is applied between the estimated maximum frequency and blood pressure to generate a blood pressure estimate and the blood pressure estimate is displayed.

Abstract: Disclosed herein is a non-contact MCG is anticipated as one embodiment.

Abstract: A process for pre-processing recorded and digitised heart sounds and corresponding digitised ECG signals is provided. The pre-processed signals (203) are suitable for input into an automatic decision support system implemented by means of a diagnostic decision network (205), used for diagnosing and differentiation between normal/functional (206) and pathological (207) heart murmurs, particularly in paediatric patients. The process includes identifying or predicting locations of individual heart beats within the heart sound signal, identifying the positions of the S1 and S2 heart pulses within the respective heart beats, predicting and identifying the locations and durations of the systole and diastole segments of the heart beats (302), determining if segmentation of the heart sound signal is possible based on the selected and isolated heart beats (305), and the segmentation of the respective heart beats into segments for allowing better feature extraction.

Abstract: Methodology involving assessing, and applying therapy regarding, degree of ischemia and risk for sudden cardiac death in a therapy-device-equipped subject utilizing a Holter-type instrumentality. The methodology includes (a) gathering simultaneous ECG and heart-sound data, (b) computer processing and interrelating the gathered data to obtain one or more heart-functionality parameter(s), focusing on LDPT and % LVST, and (c), using these obtained parameters, adjusting, as necessary, the therapy device so as to minimize and counteract the likelihood of the onset or advancement of ischemia, and/or the onset of sudden cardiac death.