An embodiment of a system for treating sleep apnea includes a collar, pump, motor, sensor, memory, and controller, which is configured to store, in the memory, information related to sleep-apnea events or sleep-apnea treatment, experienced by the subject. For example, the controller can obtain, and store in the memory, information related to sleep-apnea events, and the controller, or another computing system, can correlate this information with the subject's lifestyle choices, and can recommend lifestyle changes to improve the subject's sleep apnea. Furthermore, the controller can obtain and store, in the memory, information related to usage and settings of the sleep-apnea system, and the controller, or another computing system, can correlate this information with the subject's wellbeing, and can recommend changes in the usage or the settings of the sleep-apnea system that can improve the subject's wellbeing.

A method of compliance-based cleaning includes receiving a piece of equipment to be cleaned in a compliance-based cleaning device, performing a cleaning process on the piece of equipment upon receiving the piece of equipment in the compliance-based cleaning device, monitoring the cleaning process performed on the piece of equipment, and transmitting compliance data from the compliance-based cleaning device to a compliance database in response to performing the cleaning process on the piece of equipment. The compliance data includes identifying information obtained during the cleaning process. Cleaning records stored in the compliance database indicate which one of a plurality of medical practitioners cleaned which one of a plurality of pieces of equipment.

A method of compliance-based cleaning includes receiving a piece of equipment to be cleaned in a compliance-based cleaning device, performing a cleaning process on the piece of equipment upon receiving the piece of equipment in the compliance-based cleaning device, monitoring the cleaning process performed on the piece of equipment, and transmitting compliance data from the compliance-based cleaning device to a compliance database in response to performing the cleaning process on the piece of equipment. The compliance data includes identifying information obtained during the cleaning process. Cleaning records stored in the compliance database indicate which one of a plurality of medical practitioners cleaned which one of a plurality of pieces of equipment.

A new non-invasive tool for cartilage assessment, exercise and sports management, and prevention of osteoarthritis is provided. In various embodiments, cartilage condition is assessed using audible signals from joints. Assessment test results are used to provide feedback regarding joint stress and friction that is related to physiological or pathological loads. Data obtained from audible signals are processed to provide an index that can be interpreted by a user or third parties. The index is useful as a baseline for exercise practices, training routines, wellness programs, or rehabilitation protocols.

A new non-invasive tool for cartilage assessment, exercise and sports management, and prevention of osteoarthritis is provided. In various embodiments, cartilage condition is assessed using audible signals from joints. Assessment test results are used to provide feedback regarding joint stress and friction that is related to physiological or pathological loads. Data obtained from audible signals are processed to provide an index that can be interpreted by a user or third parties. The index is useful as a baseline for exercise practices, training routines, wellness programs, or rehabilitation protocols.

Described herein is a method employing acoustic data from a patient's abdominal cavity to predict potential onset of postoperative ileus (POI) in patients recovering from surgery. According to one embodiment of the method, the rate of intestinal motility events, as well as the change in the rate across specific time periods, is analyzed to predict, or rule out, potential onset of POI. The current risk assessment may then be reported, and used to determine a course of treatment, such as rapidly advancing diet in low risk patients according to enhanced recovery after surgery protocols. The method can be applied at the patient's bedside by a nurse or other medical provider, and used to determine the POI risk assessment for the patient.

Lightweight personal handheld home monitoring and managing device, which includes a sound sensor network/array of sound sensor networks combined with an Artificial Neural Network (ANN) and a build in system and methods, making this device an intelligent and portable apparatus to address specific health issues. The combined apparatus is used for managing and/or guidance and/or diagnosing and/or controlling and managing purposes. This present version of the apparatus will address pulmonary disorders and diseases or similar ailments.

Techniques for determining pulse transit time (PIT) 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 PT 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 PIT or times determined based on the PPG data.

Techniques for determining pulse transit time (PIT) 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 PT 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 PIT or times determined based on the PPG data.

An enclosure for a wearable acoustic monitoring device, the enclosure comprising: a hollow body portion defined by a sidewall and top wall; and a substantially planar base portion configured to interface with the hollow body portion thus forming a chamber therebetween, wherein, the base portion comprises a flat engagement surface, for engagement with a body surface, and an acoustic port through the flat engagement surface for acoustic communication from the body surface to an acoustic sensor housed within the chamber, and, wherein, the acoustic port is located within a depression in or elongate channel through the flat engagement surface of the base portion such that the acoustic sensor is spaced apart from the body surface, in use.