This document discusses, among other things, systems and methods to determine amplitude and morphology variations of a first heart sound over a first number of cardiac cycles, and to calculate an atrial fibrillation metric indicative of an atrial fibrillation episode of the heart using the determined amplitude and morphology variations. The systems and methods can determine a variability score using the determined amplitude and morphology variations, and can calculate the atrial fibrillation metric using the variability score.

In some embodiments, the PC-HEMT based microelectronic sensors are used in cardiovascular and pulmonary monitoring, detection and measurements of electrocardiography signals, detection of the primary heart activity signals and measurements of the central venous pressure and heart rate variability, measurements of the right and left atrium pressures, recording a phonocardiogram, detection of the S2-split phenomena, measurements of breath dynamics and lung activity diagnostics, monitoring the brain activity and measuring and monitoring electrical signals associated with an electroencephalogram, and eye pressure diagnostics.

In some embodiments, the PC-HEMT based microelectronic sensors are used in cardiovascular and pulmonary monitoring, detection and measurements of electrocardiography signals, detection of the primary heart activity signals and measurements of the central venous pressure and heart rate variability, measurements of the right and left atrium pressures, recording a phonocardiogram, detection of the S2-split phenomena, measurements of breath dynamics and lung activity diagnostics, monitoring the brain activity and measuring and monitoring electrical signals associated with an electroencephalogram, and eye pressure diagnostics.

A garment comprising a central portion including a plurality of electrocardiogram leads, a plurality of auscultation acoustic sensor devices, a flexible respiratory sensor located so that it substantially circumscribes the garment, one or more blood pressure cuff portions located on an at least one arm portion of the garment, wherein the cuff portions are adapted to be loosened and/or tightened and a hardware device for sending and receiving signals via wired or wireless communication.

A respiratory acoustic analysis system for sensing and analyzing respiratory sounds of a patient may include a High Frequency Chest Wall Oscillation (HFCWO) vest, at least one sensor coupled with the HFCWO vest, and an algorithm stored in a processor for processing sensed data from the at least one acoustic sensor to provide processed data describing the respiratory sounds of the patient, in a form that can be used by a physician or other user.

Techniques for determining pulse transit time (PTT) and blood pressure measurements based on stethoscope data are provided. In one example, a system comprises a stethoscope component that monitors a heart and generates stethoscope data representative of a sound wave generated by the heart. The system can further comprise an analysis component that receives the stethoscope data and receives, from a photoplethysmography (PPG) component that monitors an extremity, PPG data representative of a pulse wave at the extremity. The analysis component can determine, based on the stethoscope data, a first time corresponding to closure of a tricuspid valve of the heart and can determine a PTT as a function of the first time and a second time corresponding to the pulse wave at the extremity that is determined based on the PPG data. Blood pressure measurements can be obtained from algorithms with the inputs of PTT or times determined based on the PPG data.

Techniques for determining pulse transit time (PTT) and blood pressure measurements based on stethoscope data are provided. In one example, a system comprises a stethoscope component that monitors a heart and generates stethoscope data representative of a sound wave generated by the heart. The system can further comprise an analysis component that receives the stethoscope data and receives, from a photoplethysmography (PPG) component that monitors an extremity, PPG data representative of a pulse wave at the extremity. The analysis component can determine, based on the stethoscope data, a first time corresponding to closure of a tricuspid valve of the heart and can determine a PTT as a function of the first time and a second time corresponding to the pulse wave at the extremity that is determined based on the PPG data. Blood pressure measurements can be obtained from algorithms with the inputs of PTT or times determined based on the PPG data.

A method for diagnosing one or more diseases of the respiratory tract for a patient including the steps of: acquiring cough sounds from the patient; processing the cough sounds to produce cough sound feature signals representing one or more cough sound features from the cough segments; obtaining one or more disease signatures based on the cough sound feature signals; and classifying the one or more disease signatures to deem the cough segments as indicative of one or more of said diseases; wherein the step of obtaining the one or more disease signatures based on the cough sound feature signals includes applying the cough sound features to each of one or more pre-trained disease signature decision machines, each said decision machine having been pre-trained to classify the cough sound features as corresponding to either a particular disease or to a non-disease state or as corresponding to first particular disease or a second particular disease different from the first particular disease.

Techniques for determining pulse transit time (PTT) and blood pressure measurements based on stethoscope data are provided. In one example, a system comprises a stethoscope component that monitors a heart and generates stethoscope data representative of a sound wave generated by the heart. The system can further comprise an analysis component that receives the stethoscope data and receives, from a photoplethysmography (PPG) component that monitors an extremity, PPG data representative of a pulse wave at the extremity. The analysis component can determine, based on the stethoscope data, a first time corresponding to closure of a tricuspid valve of the heart and can determine a PTT as a function of the first time and a second time corresponding to the pulse wave at the extremity that is determined based on the PPG data. Blood pressure measurements can be obtained from algorithms with the inputs of PTT or times determined based on the PPG data.

Techniques for determining pulse transit time (PTT) and blood pressure measurements based on stethoscope data are provided. In one example, a system comprises a stethoscope component that monitors a heart and generates stethoscope data representative of a sound wave generated by the heart. The system can further comprise an analysis component that receives the stethoscope data and receives, from a photoplethysmography (PPG) component that monitors an extremity, PPG data representative of a pulse wave at the extremity. The analysis component can determine, based on the stethoscope data, a first time corresponding to closure of a tricuspid valve of the heart and can determine a PTT as a function of the first time and a second time corresponding to the pulse wave at the extremity that is determined based on the PPG data. Blood pressure measurements can be obtained from algorithms with the inputs of PTT or times determined based on the PPG data.