An Integrated CardioRespiratory (ICR) System is provided for continuous Stroke Volume (SV) measurement using a wearable device comprising a plurality of acoustic sensors. The ICR system performs signal processing computations to characterize cardiac acoustic signals that are generated by cardiac hemodynamic flow, cardiac valve, and tissue motion, and may use advanced machine learning methods to provide accurate computation of SV.

A metallic diaphragm disk incorporating a piezoelectric material bonded thereto and operatively coupled to a base rim of a housing provides for closing an open-ended cavity at the first end of the housing. In one aspect, plastic film adhesively bonded to at least one of an outer rim of the housing or an outer-facing surface of the disk provides for receiving an adhesive acoustic interface material to provide for coupling the housing to the skin of a test subject. In another aspect, an outer-facing surface of a base portion of the housing provides for receiving an adhesive acoustic interface material to provide for coupling the housing to the skin of a test subject, at least one inertial mass is operatively coupled to a central portion of the metallic diaphragm disk, and the opening in the first end of the housing is closed with a cover.

Systems and methods for detecting heart sound information from a subject's head are described. A system embodiment includes a headgear to be worn on the subject's head, and first and second sensors to sense respectively first and second physiologic signals each representing vibration, motion, or displacement conducted through patient body tissue. The sensed physiologic signals contain heart sound information. At least one of the first or the second sensor is included in the headgear, and placed at a head location to sense a physiologic signal indicative of heart sounds. The system includes a processor to generate a composite signal using the sensed first and second physiologic signals. The system may generate a heart sound metric using the composite signal, and detect a cardiac event such as an arrhythmia or worsening heart failure.

Embodiments of remote health monitoring systems and methods are disclosed. In one embodiment, a plurality of sensors is configured for contact-free monitoring of at least one bodily function. A signal processing module communicatively coupled with the plurality of sensors is configured to receive data from the plurality of sensors. A first sensor is configured to generate a first set of data associated with a first bodily function. A second sensor is configured to generate a second set of data associated with a second bodily function. A third sensor is configured to generate a third set of data associated with a third bodily function. The signal processing module is configured to receive and process the first set of data, the second set of data, and the third set of data. The signal processing module is configured to generate at least one diagnosis of a health condition responsive to the processing.

The present disclosure provides a heart sound monitoring device and a method for acquiring a heart sound signal. The heart sound monitoring device of the present disclosure includes: a plurality of heart sound sensors, configured to correspond to different heart sound auscultation positions in a region to be monitored and be capable of collecting vibration signals generated when the different heart sound auscultation positions are vibrated; and a heart sound locator, configured to determine a primary heart sound sensor and a secondary heart sound sensor in the plurality of heart sound sensors according to characteristics of the vibration signals collected by the plurality of heart sound sensors.

An improved stethoscope design with an extended detection range for sounds above and below the range of human hearing and artificial intelligence connection to other clinical data for analysis, wherein the stethoscope assesses spatial distribution of bodily sounds using a sensor array as well as amplifies the volume of bodily sounds and provides for recording, receiving and processing same.

A way of indicating a risk for coronary artery disease is disclosed. A first plurality of first sound recordings of heartbeats and second plurality of second sound recording of the ambient background are obtained. A filtering of each first sound recording is performed by using a simultaneously recorded second sound recording. The filtering of each first sound recording involves determining a diastolic period of the heartbeat of the first sound recording, and performing an adaptive filtering of the first sound recording based in the diastolic period of the first sound recording and the simultaneously recorded second sound recording. This is followed by determination of an indication of the risk for coronary artery disease based on the filtered first sound recordings.

A web server based digital healthcare practice system to provide digital transformation of physician practice to twenty first century. Physician can provide in home remote patient examination using a smart pocketable integrated multi function device to perform all head to toe examination similar to his office. And can perform computer assisted cardio and pulmonary, abdominal sound diagnosis, ear, nose, throat analysis, and skin analysis from remote to pin point accurate ailment and write prescription to pharmacy, and bill insurance companies. Invention allows patients seek health care 24/7 in state, out of state, out of country and use in state insurance company to pay for the services. A virtual reality model of physician is available for normal everyday ailments. The smart pocketable integrated device used is remotely controlled by the physician and has smarts build to make it very user friendly and is wirelessly connected to an application running on a smartphone/tablet/laptop which is connected to physician server.

Medical apparatus includes an elongate probe for insertion into a body of a patient. The probe includes an ablation element and an acoustic transducer disposed at a distal end of the probe. An array of acoustic sensors is placed over the body. While the distal end of the probe is positioned in a target location in the body, a control unit drives the acoustic transducer in a training phase to emit an acoustic signal, receives electrical signals from the acoustic sensors in response to the acoustical signal, and processes the electrical signals so as to derive a phase profile focused at the target location. In an operational phase, the control unit drives the ablation element to ablate tissue in the body at the target location, and receives and filters the electrical signals from the acoustic sensors using the phase profile so as to detect acoustical activity at the target location.

A method of monitoring body sounds using a sensor including an array of microphones, the method includes acquiring a first sound produced by certain physiology using the array of microphones of the sensor, identifying a source of the first sound, performing an automatic auscultation of the source using the first sound, wherein the automatic auscultation including matching the first sound to an acoustic model stored in a memory, wherein the acoustic model corresponds to a physiology, generating an image representing the physiology using an image library, and determining a health condition using the physiology and the image.