A jacket that includes a first portion, a second portion, and an interface. The interface is movably coupled to the first portion and the second portion. The first portion comprises multiple medical modules. The multiple medical modules include at least one medical sensor and a physiological signal conduit for transferring a physiological signal from an inner side of the first portion to an exterior side of the first portion. The first and second portions are configured to be detachably coupled to a mobile phone. When the jacket is at a closed position then the first portion, the second portion and the interface define an inner space that is configured to receive the mobile phone and the first and second portions contact opposite sides of the mobile phone. When the jacket is at an open position, then only one of the first and second portions contacts the mobile phone.

A method and a system for providing feedback to a user for adjusting sleep pattern of the user. The method includes collecting a set of information related to the user, receiving a set of measurement data related to the user from a wearable electronic device, defining circadian rhythm and duration of sleep of the user, determining sleep scores for a predefined number of days and associating each sleep score with a corresponding go-to-bed time or time of falling asleep of the user. A sleep score is determined for each of the predefined number of days from the collected set of information, the set of measurement data, the circadian rhythm and the duration of sleep of the user. The method further includes analysing the sleep scores and associated go-to-bed time or time of falling asleep of the user to determine an optimum bedtime window for the user and providing feedback to the user based on the analysed sleep scores and the optimum bedtime window.

Disclosed is an apparatus for estimating bio-information. The apparatus for estimating bio-information includes: a sensor part comprising a pulse wave sensor array configured to detect a pulse wave signal when an object contacts a contact surface of the sensor part, and a load sensor configured to detect a first contact load applied by the object to the contact surface; and a processor configured to obtain contact load distribution of the contact surface based on the pulse wave signal, and to estimate bio-information based on the contact load distribution.

A computer-implemented method, computer program product and computing system for receiving a single-lead heartbeat waveform for a user obtained via a differential voltage potential measurement concerning the heart of the user; associating a heart health indicator with the single-lead heartbeat waveform; and providing the heart health indicator to the user.

The present disclosure generally relates to user interfaces for health applications. In some embodiments, exemplary user interfaces for managing health and safety features on an electronic device are described. In some embodiments, exemplary user interfaces for managing the setup of a health feature on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described. In some embodiments, exemplary user interfaces for managing a biometric measurement taken using an electronic device are described. In some embodiments, exemplary user interfaces for providing results for captured health information on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described.

Disclosed herein is a device for continuous physiological monitoring as well as systems and methods for interpreting data from such a device. The systems and methods may include automatically detecting, assessing, and analyzing exercise activity, physical recovery states, sleep states, and the like. The acquisition of continuous physiological data may facilitate automated recommendations concerning changes to sleep, recovery time, exercise routines, and the like.

This relates to the use of sensor evaluation in a multi-sensor environment. In a first aspect, this specification describes apparatus comprising: at least one processor; and at least one memory including computer program code. The at least one memory and the computer program code are configured to, with the at least one processor, cause the apparatus at least to perform: receive sensor data from a plurality of sensors collected during a first time period; process the received sensor data through a plurality of layers of a neural network to generate an output indicative of the sensing quality of each of the plurality of sensors for a task; and cause a subset of the plurality of sensors to collect data during a second time period based on the output indicative of the suitability of each of the plurality of sensors for the task.

In one embodiment, a sensor includes a capsule having a cavity and a sheath, a transducer coupled to electronic circuitry in the cavity, and a clip outside the capsule. The capsule and the clip are configured to hold in vivo an object within an opening between the capsule and the clip. The transducer is configured to detect an incoming signal indicative of a physiological parameter of the object being held, and the electronic circuitry is configured to wirelessly transmit a signal containing information about the physiological parameter obtained from the incoming signal. The sensor is part of a measurement system to measure the physiological parameter. Another embodiment describes a method using the measurement system.

A method for counting coughs is provided. The method includes acquiring a plurality of onset signals from the sound signal, wherein the onset signal has a predetermined time length; acquiring a plurality of spectrograms corresponding to each of the plurality of onset signals; determining whether each of the acquired plurality of spectrograms represents a cough using a cough determination model; and calculating a number of coughs included in the sound signal based on a time point of a cough signal. The cough signal is an onset signal corresponding to one spectrogram determined to represent the cough. When a time interval between a first time point of a first cough signal and a second time point of a second cough is within a reference time interval, the first cough signal and the second cough signal are regarded as one cough signal at the first time point.

An ear ailment diagnostic device generally comprises a pair of earpieces, which both further comprise a light source, a magnification lens, an air conduction channel and a miniature camera. The earpieces may optionally comprise a thermometer and/or tympanometer. Each earpiece is coupled to an air conduction tube, an insufflator and an electrical wiring/data tube which is coupled to a computer. The insufflator may be manually, electronically, or battery powered. In the preferred embodiment the computer comprises a smart phone with data processing capability and wireless communication capability. Any data sent from the device can then be interpreted and diagnosed in a remote location so that an accurate treatment is prescribed.