A method and apparatus for examining a subject for a particular physiological condition according to a technique which utilizes sounds generated by the subject and sensed at a predefined distance from the site of sound generation of the subject, by locating a first sound sensor, e.g., a sound level meter which measures the sound levels in decibels, on a particular region of the subject's body to produce an output corresponding to the sound level sensed thereby; modifying the output of the first sound level meter by a pre-calculated Transfer Function equating its output to that of a second sound level meter located at a predefined distance from the site of sound generation of the subject's body; and utilizing the modified output of the first sound level meter in determining the existence of the particular physiological condition.

A user-wearable sensor device may be configured to be directly or indirectly secured to a user or to an article worn by the user. The user-wearable sensor device may include at least one sensor configured to collect sensor data associated with an orientation of the user, a display unit including at least one LED or other visual indicator, a battery configured to provide power to at least the display unit, and a control system. The control system may be configured to determine the orientation of the user based on sensor data collected by the at least one sensor, maintain the display unit in a deactivated state in the absence of a defined activation input, detect a defined activation input, activate the deactivated display unit in response to detecting the defined activation input, and control the activated display unit based on the determined orientation of the user.

A method for performing dynamic classification of a breathing session is disclosed. The method comprises capturing breathing sounds of a subject using a microphone. Further, it comprises recognizing a plurality of breath cycles and a plurality of breath phases within each of the plurality of breath cycles from the breathing sounds. It also comprises detecting characteristics regarding the plurality of breath cycles and the plurality of breath phases. Finally, it comprises extracting metrics concerning a breath pattern quality of the subject using the detected characteristics.

A monitoring and diagnosing system includes a position indication instruction device, an endoscope equipment, and an image integrated monitoring device. The system may be capable of increasing reliability of a test by performing drug induced sleep endoscopy while changing, in a predetermined order, a body position of a patient so as to examine sleep-disordered breathing.

A system may include a port, at least one sensing circuit, and at least one processor. The port is configured to receive an indication of dosing of medication to treat a pulmonary condition of a heart failure (HF) subject and the at least one sensing circuit configured to sense at least one physiological signal, wherein the physiological signal includes physiological information of the HF subject. The at least one processor includes a parameter module configured to extract values of at least one physiological parameter indicative of health status of the HF subject, and a trending module configured to trend extracted values of the at least one physiological parameter and detect an effect of the dosing of the medication on the HF subject using the trending of the extracted values of the at least one physiological parameter.

A swallowing diagnosis apparatus includes a controller which enables a first swallowing determination process of determining whether or not there is an aspiration risk in the swallowing on the basis of respiratory phases before and after a period in which swallowing has been estimated as having occurred; and a second swallowing determination process of extracting reference information including at least one of the sound information and the respiration information in a predetermined period including the period in which swallowing has been estimated as having occurred, obtaining a feature quantity from the extracted reference information, and performing a machine learning process on the obtained feature quantity to determine whether or not there is a possibility of dysphagia in the swallowing; and a display control process of causing a determination result obtained by the first swallowing determination process and a determination result obtained by the second swallowing determination process to be displayed.

A contact detection instrument 1 is provided with a rod 12, a tip sensor portion 20 that is attached to one end of the rod 12 and is inserted into a living body through a hole, a speaker 14 that, from outside the living body, inputs a sound into a hollow space that is formed in the interior of the rod 12 and the tip sensor portion 20, and a microphone 15 that, outside the living body, outputs an electrical signal that corresponds to the sound inside the hollow space, with the tip sensor portion 20 including an elastic material that covers the hollow space.

Systems and methods are disclosed that use wireless coupling of energy for operation of both external and internal devices, including external sensor arrays and implantable devices. The signals conveyed may be electronic, optical, acoustic, biomechanical, and others to provide in situ sensing and monitoring of internal anatomies and implants using a wireless, biocompatible electromagnetic powered sensor systems.

A method for generating a health indicator for at least one person of a group of people, the method comprising: receiving, at a processor, captured sound, where the captured sound is sound captured from the group of people; comparing the captured sound to a plurality of sound models to detect at least one non-speech sound event in the captured sound, each of the plurality of sound models associated with a respective health-related sound type; determining metadata associated with the at least one non-speech sound event; assigning the at least one non-speech sound event and the metadata to at least one person of the group of people; and outputting a message identifying the at least one non-speech event and the metadata to a health indicator generator module to generate a health indicator for the at least one person to whom the at least one non-speech sound event is assigned.

A system for detecting valvular malfunction includes a monitoring device and a processor. The monitoring device includes a heart sound sensor configured to detect heart sounds of the patient, and a signal processor. The processor is configured to receive a signal representative of the detected heart sounds from the signal processor, wherein the processor is configured to compare the signal to a baseline signal stored in memory. The processor may be part of the monitoring device or may be part of an external device, or both.