Approaches described herein can determine one or more breathing phase patterns over a period of time using audio data captured by at least one microphone. The audio data can include one or more snores. A breathing phase pattern included within the period of time can be determined based at least in part on sensor data captured by one or more sensors in the electronic device. A determination can be made that a first breathing phase pattern represented by the audio data and a second breathing phase pattern represented by the sensor data are correlated. A determination can be made that the first breathing phase pattern represented by the audio data and the second breathing phase pattern represented by the sensor data both correspond to a user wearing the electronic device.

This document discusses, among other things, systems and methods to determine an indication of heart failure with preserved ejection fraction (HFpEF) of a subject using a determined change in cardiac acceleration information of the subject at exertion relative to cardiac acceleration information of the subject at rest. The system can include a signal receiver circuit configured to receive cardiac acceleration information of a subject and exertion information of the subject, and an assessment circuit configured to determine the change in cardiac acceleration information of the subject at exertion relative to cardiac acceleration information of the subject at rest, and to determine an indication of HFpEF of the subject using the determined change in cardiac acceleration information.

A system and method for quantitatively assessing a press fit value (and provide a mechanism to evaluate optimal quantitative values) of any implant/bone interface regardless the variables involved including bone site preparation, material properties of bone and implant, implant geometry and coefficient of friction of the implant-bone interface without requiring a visual positional assessment of a depth of insertion. The following description is presented to enable one of ordinary skill in the art to make and use the invention and is provided in the context of a patent application and its requirements.

A multi-sensor system (100) having a plurality of dental sensors (101-S; 101-M) for arrangement in an oral cavity, including at least one slave dental sensor (101-S) for acquiring measurement data in an oral cavity with a transmitting device (103) for transmitting the measurement data; and a master dental sensor (101-M) with a receiving device (109-M) for receiving the measurement data from the slave dental sensor (101-S).

A multi-sensor system (100) having a plurality of dental sensors (101-S; 101-M) for arrangement in an oral cavity, including at least one slave dental sensor (101-S) for acquiring measurement data in an oral cavity with a transmitting device (103) for transmitting the measurement data; and a master dental sensor (101-M) with a receiving device (109-M) for receiving the measurement data from the slave dental sensor (101-S).

Methods, devices, and systems for contactless cough detection and attribution are presented herein. Audio data may be received using a microphone. A cough may be identified as having occurred based on the received audio data. Radar data may be received indicative of reflected radio waves from a radar sensor. A state analysis process may be performed using the received radar data. The detected cough may be attributed to a particular user based at least in part on the state analysis process performed using the radar data.

An implantable tissue connector (1; 1a) adapted to be connected to a tubular part of living tissue (70; 80) within a patient's body (100) comprises a conduit (2) and at least one flexible sleeve (10) adapted to axially extend and closely fit around at least part of the outer surface (6) of the conduit. The conduit is inserted into the tubular part of living tissue and the flexible sleeve placed over the tubular part of living tissue. Various alternatives are described of how the living tissue may be prevented form slipping off of the conduit.

A detection system and a detection method and a sensing device for detecting stenosis of carotid artery are provided. The invention detection system for detecting a stenosis of a carotid artery includes a sensing device and a server. The sensing device includes a microphone. The microphone receives a frequency spectrum signal from a first location. There is a first distance between the first location and a second location of at least one of a plaque and a thrombus in the carotid artery. The first location is located on an extended path of the carotid artery. The server receives the frequency spectrum signal and calculates a stenosis percentage of the carotid artery corresponding to the frequency spectrum signal through a machine learning module and transmits the stenosis percentage to the sensing device.

A detection system and a detection method and a sensing device for detecting stenosis of carotid artery are provided. The invention detection system for detecting a stenosis of a carotid artery includes a sensing device and a server. The sensing device includes a microphone. The microphone receives a frequency spectrum signal from a first location. There is a first distance between the first location and a second location of at least one of a plaque and a thrombus in the carotid artery. The first location is located on an extended path of the carotid artery. The server receives the frequency spectrum signal and calculates a stenosis percentage of the carotid artery corresponding to the frequency spectrum signal through a machine learning module and transmits the stenosis percentage to the sensing device.

A method of monitoring a patient using a system includes a medical device, a peripheral device configured to wirelessly communicate with the medical device, and processing circuitry. The method includes, by the processing circuitry, receiving sensor data collected by the medical device and evaluating the sensor data. The method further includes, based on the evaluation of the sensor data, outputting for display via the peripheral device at least one question relating to the sensor data collected by the medical device for a patient to answer. The method further includes receiving at least one answer via the peripheral device and determining, based on a combination of the sensor data and the at least one answer, a risk-level of the patient's health associated with at least one condition such as at least one of infection, stroke, sepsis, chronic obstructive pulmonary disease, cardiac arrhythmia, or myocardial infarction.