A wearable defibrillator system includes a support structure with one or more electrodes in an unbiased state. A monitoring device monitors, for the long term, a parameter of the person that is not the person's ECG; rather, the monitored parameter can be the person's motion, a physiological parameter, or both. When a value of the monitored parameter reaches a threshold, such as when the person is having an actionable episode, the electrode becomes mechanically biased against the person's body, for making good electrical contact. Then, if necessary, the person can be given electrical therapy, such as defibrillation. As such, the electrodes of the wearable defibrillator system can be worn loosely for the long term, without making good electrical contact. This can reduce the person's aversion to wearing the defibrillation system.

This document describes a system for determining positioning of an intubation tube in a patient. The system can include a first acoustic sensor configured to be disposed to listen to one of a lung and a stomach of the patient and to provide a first signal. The system includes a signal processing unit, coupled to the first acoustic sensor, configured to analyze spectral components of the first signal and determine whether a frequency of the spectral components of the first signal are characteristic of sounds induced by ventilation via the intubation tube of airflow to the lung or the stomach of the patient.

A sensor, sensor pad, and sensor array for detecting infrasonic signals in a living organism is provided. The sensor, sensor pad, and/or array can be utilized for detecting, determining, and/or diagnosing level of stenosis, occlusion, or aneurysm in arteries or other similar diagnoses. The sensor can include unique circuitry in the form of a piezoelectric plate or element sandwiched between two conductive O-rings.

A sensor, sensor pad, and sensor array for detecting infrasonic signals in a living organism is provided. The sensor, sensor pad, and/or array can be utilized for detecting, determining, and/or diagnosing level of stenosis, occlusion, or aneurysm in arteries or other similar diagnoses. The sensor can include unique circuitry in the form of a piezoelectric plate or element sandwiched between two conductive O-rings.

A computer-implemented method or system for generating health data is provided. The method includes receiving a sensor data set measured by one or more sensors of a wearable device over an interval of time, the sensor data set indicating a time series profile of a body parameter of a user of the wearable device over the interval of time. The method also includes determining an activity type of the user matching the time series profile; and calculating a value associated with a health metric, wherein the value is calculated based on the activity type.

A wheezing-related information display apparatus includes a breathing sound detection unit that detects a breathing sound of a measurement subject and acquires a breathing signal in a time series indicating the breathing sound. The wheezing-related information display apparatus includes a determination processing unit that, based on the breathing sound signal, determines whether or not wheezing is included in the breathing sound in each predetermined processing unit period. The wheezing-related information display apparatus includes a display processing unit that displays information indicating temporal change in the frequency of wheezing on a display screen based on the result of the determination performed by the determination display unit.

A medical system includes a network; one or more medical data collection appliances coupled to the network, each appliance transmitting data conforming to an interoperable format; and a server coupled to the network to store data for each individual in accordance with the interoperable format.

A system includes a sensor device having a body configured to be inserted into an airway of a patient and one or more sensors mounted in or on the body. The one or more sensors are configured to collect sensor data associated with the airway of the patient. The system also includes a signal analyzer configured to analyze the sensor data. The one or more sensors could include one or more microphones. The signal analyzer could identify volume and/or pitch characteristics of the sensor data, perform pattern recognition to identify one or more patterns using the volume and/or pitch characteristics, and use the one or more patterns to identify a type, a location, and/or a degree of airway obstruction. This could be done, for instance, to determine if the patient suffers from obstructive sleep apnea or other condition that affects his or her airway.

The present invention relates to a system (100) and method (800) capable of indirectly monitoring respiratory and cardiac variables. A decomposition technique on time-series of features extracted from the chest audio signal α(t) is proposed. The proposed monitoring system (100) may acquire the acoustic signal on the chest of a subject (140) by means of a wearable transducer (150). The proposed system may estimate a number of physiological variables such as flow estimates, respiration rate, inspiration and expiration markers and cardiac related variables. Cough and apnea detection, adventitious sound recognition, activities performed, and information about energy estimation and the status of a monitored subject can be derived as well.

The invention includes a system and method for predicting the performance of production animals by analysis of heart and lung sounds to determine likelihoods the animals will develop BRD or other diseases or ailments. Vital signs of animals are recorded during an adrenergic sympathetic “flight or fight” situation. A cardio-pulmonary rate ratio is determined for each animal by dividing a normalized adjusted heart rate value by a normalized adjusted respiratory value. From the ratios calculated for each animal in a group, a ratio range is established. Ratio values at a lower end of the ratio range indicate higher relative respiration rates and poor lung performance due to disease. Ratio values at an upper end of the range may indicate low cardiac output and an inability to tolerate rapid weight gain. Ratio values at either end of the range may indicate compromised cardio-pulmonary function.