According to embodiments of the present invention, a gateway device operable in a system for monitoring a plurality of bio-signals is provided. The gateway device includes a receiver unit configured to receive data and reconstruct the received data to obtain a digital sound signal representative of the plurality of bio-signals; a processing unit configured to determine at least one biometric from the digital sound signal and form a digital signal representative of the plurality of bio-signals and the determined at least one biometric, and to reconstruct the digital signal into two or more data segments, wherein each data segment includes a portion of the digital signal; and a transmitter unit configured to transmit information including the two or more data segments to an external processing module for further processing. According to further embodiments, a system and a method for monitoring a plurality of bio-signals are also provided.

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.

In some examples, an ambulatory medical device is provided. The ambulatory medical device includes at least one sensor configured to acquire data descriptive of the patient, one or more processors in communication with the at least one sensor, a patient care component executable by the one or more processors, and a limited functionality component executable by the one or more processors. The patient care component is configured to perform one or more primary operations of the ambulatory medical device at least in part by accessing the data descriptive of the patient. The limited functionality component is configured to exchange information with a communication device and to not affect the one or more primary operations of the ambulatory medical device.

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.

A wheezing detection apparatus includes a breathing sound detection unit that detects a breathing sound of a measurement subject and acquires a breathing sound signal in a time series expressing the breathing sound. The wheezing detection apparatus includes a determination processing unit that, in each pre-determined processing unit period, converts the breathing sound signal into a frequency space to acquire a frequency spectrum of the breathing sound, and based on a height and a width of a peak in the frequency spectrum, determines whether or not the peak indicates wheezing.

The present invention relates generally and specifically to computerized devices capable of diagnosis tailoring for an individual, and capable of controlling effectors to deliver therapy or enhance performance also tailored to an individual. The invention integrates sensors which sense signals from measurable body systems together with external machines, to form adaptive digital networks over time of general health and health of specific body functions. The invention has applications in sleep and wakefulness, sleep-disordered breathing, other breathing disturbances, memory and cognition, monitoring and response to obesity or heart failure, monitoring and response to other conditions, and general enhancement of performance.