One or more auscultation sensors attached to the skin of an at-least-prospectively contagiously-infected patient are connected via a corresponding associated one or more sensor cables so as to provide for one or more health care practitioners to listen to auscultation sounds from the one or more auscultation sensors from a relatively safe distance, without a need for close proximity to the patient when listening.

In at least one example, a medical device is provided. The medical device includes at least one therapy electrode, at least one electrocardiogram (ECG) electrode, at least one acoustic sensor, and at least one processor coupled with the at least one acoustic sensor, the at least one ECG electrode, and the at least one therapy electrode. The at least one processor can receive at least one acoustic signal from the at least one acoustic sensor, receive at least one electrode signal from the ECG electrode, detect at least one unverified cardiopulmonary anomaly using the at least one electrode signal, and verify the at least one unverified cardiopulmonary anomaly with reference to data descriptive of the at least one acoustic signal.

Aspects disclosed herein disclose a system and method for improving digital stethoscopes and their application and operation. A first method de-noises an auditory signal. A second decomposes an auditory signal into sub-components. A third method extracts a respiratory cycle from the auditory signal. A fourth method counts respiratory abnormalities based on the respiratory cycle.

Aspects disclosed herein disclose a system and method for improving digital stethoscopes and their application and operation. A first method de-noises an auditory signal. A second decomposes an auditory signal into sub-components. A third method extracts a respiratory cycle from the auditory signal. A fourth method counts respiratory abnormalities based on the respiratory cycle.

A system screens, diagnoses, or monitors sleep disordered breathing of a patient. The system may include a nasal cannula, a conduit connected to the nasal cannula at a first end, an adaptor configured to receive a second end of the conduit and/or a portable computing device. The adaptor may be configured to position the second end of the conduit in proximity with a microphone of the portable computing device. Optionally, a processor may generate an indicator to guide placement of the adaptor for use. Such positioning may, in use, permit the microphone to generate a patient breathing sound signal via the adaptor for processor(s) of the device. The processor(s) may then process the breathing sound signal. The process may include detecting SDB events from an extracted and/or de-rectified loudness signal. The process may include computing a metric of severity of a respiratory condition of the patient using detected SDB events.

A method in an illustrative embodiment comprises obtaining an acoustic signal for a given individual, generating an image representation of at least a portion of the acoustic signal, processing the image representation in at least one neural network of an acoustics classifier to generate a classification for the acoustic signal, and executing at least one automated action based at least in part on the generated classification. The acoustic signal illustratively comprises, for example, at least one of a heart sound signal, a blood flow sound signal, a lung sound signal, a bowel sound signal, a cough sound signal, or other physiological sound signal of the given individual. Generating the image representation illustratively comprises generating at least one spectrogram. Additionally or alternatively, generating the image representation may comprise generating one or more recurrence plots, Markov transition field image representations and/or Gramian angular field image representations.

Technology is disclosed for monitoring a user's respirator), condition and provide decision support by analyzing a user's audio data. Spoken phonemes may be detected within audio data, and acoustic features may be extracted for the phonemes. A distance metric may be computed to compare phoneme feature sets of a user. Based on the comparison, a determination about the user's respiratory condition, such as whether the user has a respiratory condition (e.g., an infection) and/or whether the condition is changing, may be made. Some aspects include predicting the user's respiratory condition in the future utilizing the phoneme feature sets. Decision support tools in the form of computer applications or services may utilize the detected or predicted respiratory condition information to initiate an action for treating a current condition or mitigating a future risk.

Eyewear apparatus includes dry electrophysiological electrodes and, optionally, other physiological and/or environmental sensors to measure signals such as EOG and ECG from the head of a subject. Methods of use of such apparatus to provide fitness, health, or other measured or derived, estimated, or predicted metrics are also disclosed.

Eyewear apparatus includes dry electrophysiological electrodes and, optionally, other physiological and/or environmental sensors to measure signals such as EOG and ECG from the head of a subject. Methods of use of such apparatus to provide fitness, health, or other measured or derived, estimated, or predicted metrics are also disclosed.

A system having a scope with a longitudinal length extending between a proximal end and a distal end includes a plurality of markers spaced along the longitudinal length. The system also includes a disassociation and positioning device that is configured to enhance unsedated transnasal endoscopic procedures by at least partially occluding the vision of a patient while enabling body cavity access, and optionally record and sense body functions such as temperature, heart rate and oxygenation of the blood stream. The system further includes a sensor integrated into the distraction device, wherein the sensor is configured to detect the markers on the longitudinal length of the scope.