In a handheld device for determining heartbeat/heart rhythm of a user, a method is provided for providing spoken instructions for the user of the device. The method comprises obtaining, over time, via an optical sensor like a camera, a data signal and providing the data signal to an electronic data processor. In the electronic data the processor, determining, based on the signal, a quality factor for the signal. In the electronic data processor, an algorithm is executed for determining a heartbeat using data comprised by the data signal as input. The electronic data processor looks up, from an electronic memory, at least one audio-visual data file comprising data representing audio-visual feedback instructions, based on at least one of the quality factor and the outcome of the execution of the algorithm. A speaker is used to reproduce the audio-visual feedback instructions and aid the user in device placement.

An electronic apparatus according to various embodiments of the present disclosure may comprise: a sensor unit for sensing the movement of the electronic apparatus; a communication unit for communicating with an external apparatus; an input unit for receiving a user input; an output unit for providing information to a user; and a control unit for outputting a message inducing a particular action to the user through the output unit on the basis of medical information of the user and the movement of the electronic apparatus, or controlling the communication unit to transmit information related to the electronic apparatus to an external apparatus.

A method is for automatic interaction with a patient during a magnetic resonance examination with a magnetic resonance apparatus. In an embodiment, the method includes detecting an acoustic utterance of the patient; processing the acoustic utterance of the patient via a speech processor, the processing of the acoustic utterance including at least determining the communication as a function of the acoustic utterance and checking the communication for a correlation with a parameter of the magnetic resonance examination; determining the output as a function of the communication of the patient and the parameter of the magnetic resonance examination and providing the output. A magnetic resonance apparatus of an embodiment includes at least a processor to carry out an embodiment of the method. The method can further be stored on a computer program product or medium for execution by a processor.

A method includes receiving data pertaining to a user that uses a treatment apparatus to perform a treatment plan. The data includes characteristics of the user, the treatment plan, and a result of the treatment plan. The method includes assigning the user to a cohort representing people having similarities to the characteristics of the user. The method includes receiving second data pertaining to a second user, the second data comprises characteristics of the second user. The method includes determining whether at least some of the characteristics of the second user match with at least some of the characteristics of the user, assigning the second user to the first cohort, and selecting, via a trained machine learning model, the treatment plan for the second user, and controlling, based on the treatment plan, the treatment apparatus while the second user uses the treatment apparatus.

Embodiments herein relate to ear-wearable device systems and methods for monitoring a device wearer's emotional state and status. In an embodiment, an ear-wearable device is included having a control circuit, a microphone, and a power supply circuit. The ear-wearable device is configured to monitor signals from the microphone, identify signs of anxiety in the microphone signals, and provide a wearer of the ear-wearable device with feedback related to identified anxiety. In another embodiment, a method of monitoring anxiety with an ear-wearable device is included, the method including monitoring signals from a microphone, identifying signs of anxiety in the microphone signals, and providing a wearer of the ear-wearable device with feedback related to the identified anxiety. Other embodiments are also included herein.

A method of determining and administering therapies responsive to a circadian rhythm of a user including receiving an indication of a therapy to be administered to the user, identifying one or more periods during a circadian cycle during which administration of the therapy is preferred, defining a circadian administration time, receiving an indication of a normal circadian rhythm of the user. determining the position of the circadian administration time within the normal circadian rhythm of the user, defining a user circadian administration time, determining a time of day corresponding to the user circadian administration time, defining a clock administration time, and at least one of providing an indication to the user to administer the therapy at the clock administration time and administering the therapy to the user at the clock administration time.

Embodiments include a system for measuring respiratory function of a user. The system can include an optical sensing unit configured to detect movement of a torso of the user. The system can include an electronic device configured to provide a first request for the user to breathe at a first rate during a first time period and a second request for the user to breathe at a second rate during a second time period. The system can include a processing unit configured to determine a first respiration parameter based on the movement of the torso during the first time period and determine a second respiration parameter based on the movement of the torso during the second time period. The processing unit can determine a level of respiratory function based on the first respiration parameter and the second respiration parameter.

A hearing assistance device adapted to be worn by a wearer comprises a processor configured to generate a sequence of audio cues that audibly guide the wearer through a series of actions involving the wearer's head and neck in accordance with a predetermined corrective or therapeutic maneuver. A speaker is configured to play back the sequence of audio cues for reception by the wearer. One or more sensors are configured to sense movement of the head during each of the actions. The processor is configured to determine if head movement for an action associated with each audio cue has been correctly executed by the wearer, and produce an output indicative of successful or unsuccessful execution of the actions by the wearer.

Provided are a system and method for informing of attachment positions of electrocardiogram (ECG) electrodes to improve the quality of ECG data. The system includes a judgment indicator extractor configured to extract a plurality of judgment indicator values from ECG data obtained through ECG electrodes, a reference value setter configured to, in a user-specific reference value setting mode, collect the judgment indicator values for a plurality of pieces of ECG data extracted by the judgment indicator extractor and set user-specific reference values for each judgment indicator, a similarity determiner configured to, in an ECG measurement mode, determine similarity by comparing a plurality of judgment indicator values extracted by the judgment indicator extractor with the user-specific reference values, and an electrode attachment position guide configured to inform a user of attachment positions of the ECG electrodes according to a similarity determination result of each of the judgment indicator values.

The invention relates to a method and a system for determining body's readiness to respond to physical exercise and for providing feedback to a user. In the method the user starts to perform an exercise, an earlier performance level is determined before starting a performance check having steps of: an instant performance level of the user is determined, the earlier performance level is compared to the instant performance level, a readiness index is determined according to the said comparison and optionally with background and/or training history of the user, a feedback is given according to the determined readiness index.