The present application describes a Personal Hand-Held Monitor (PHHM) of the type described in WO 2013/002165, WO 2014/125431, and International Patent Application No. PCT/EP2015/079888, with improved aspects to find indicators of health, and other improvements that facilitate its construction and calibration.

A life management system receives data from a client device worn by a user, the data comprising biotelemetry data and activity data collected about a user wearing the client device. The life management system generates snapshot information using information from a group consisting of: the biotelemetry data, activity data, social data associated with the user, and user profile information associated with the user. The life management system generates a recommendation using portions of the snapshot information, and updates the snapshot information with the recommendation. The life management system executes a recommendation associated with the snapshot information in accordance with the user controls associated with the user.

An apparatus for generating a prediction that a patient will experience a seizure by monitoring a patient's body temperature over time is provided. The apparatus may include a sensor to sense temperature. The apparatus may monitor, using the sensor, the body temperature of the patient and compare the body temperature over a first period of time and a second period of time. The apparatus may generate a prediction of whether the patient will experience a seizure following the second period of time based at least in part on a result of the comparing.

The invention in at least one embodiment includes a system and method for detecting and evaluating an adaptive physiological strain index (aPSI) of an individual with a processor and in a further embodiment taking into account the fitness, age and clothing of the individual based upon physiology. The invention in at least one embodiment includes a system and method to calculate the aPSI using physiological measures. In at least one embodiment, the method obtains an individual's skin temperature and heart rate in order to calculate the individual's aPSI.

One or more embodiments described herein relate to predicting, using adaptive artificial intelligence techniques, typical and aberrant physiological reactions of a patient to psychiatric counseling. Treatment plans can be determined and calculated based on previously-gathered demographic and/or biometric data, and/or modifications to treatment plans can be determined and/or implemented based on emergent recognition of reaction types, such as reclassifying reactions that would previously have been deemed typical as aberrant (or vice versa).

A drug delivery device may include an Inertial Measurement Unit (IMU) is provided. The IMU may include an accelerometer, a magnetometer, or a gyroscope. Motion parameters may be detected when the drug delivery device is shipped, being prepared for activation for use, or during use. The IMU may provide data indicative of a rapid deceleration, such as when a package containing the drug delivery device is dropped, or some other physical event experienced by the drug delivery device. The drug delivery device may also include internal or external pressure sensors or a blood glucose sensor that may coordinate with the IMU to provide additional feedback regarding the status of the device or user. A controller of the drug delivery device may generate a response depending on the particular parameters being monitored or may change device operational parameters as a result of detected system events.

A system and associated methods for round-the-clock monitoring of an animal's health status includes an animal harness that is worn by the animal, and one or both of a mobile device and a remote server. The animal harness includes a plurality of sensors for collecting health measurements of the animal. The animal harness also includes a transceiver that communicates the heath measurements to one or both of the mobile device and the remote server, where a user may view the health measurements. Firmware in the animal harness, an application running in the mobile device, and software in the remote server processes and corrects the health measurements to generate a health status of the animal and notifications are generated when the animal's health is not within a safe range defined by the user.

An implantable monitoring device includes first sensors to measure state information of one or both of a posture and an activity of a user and second sensors to measure bioinformation of two or more of an electrocardiogram (ECG) of a heart of the user, a pulmonary impedance of a lung of the user, a movement of the heart, a movement of a thorax including the lung, and a respiratory quotient (RQ) of the lung, two electrodes to detect bioinformation to measure one or both of the ECG and the pulmonary impedance, an analog circuit to process the detected bioinformation to measure the one or both of the ECG and the pulmonary impedance, and a processor to monitor an abnormal state of the heart and the lung of the user based on the state information and the bioinformation.

A powered communication system comprises an improved layout of keys configured to treat, mitigate, or delay the onset and reduce the severity of symptoms of carpal tunnel syndrome (CTS) and other pathologies by reducing movement of a user's fingers during typing. A layout of the powered communication system comprises the most-used letters on a home or center row while retaining a plurality of keys in the same placement as the QWERTY keyboard. The powered communication system further comprises customizable function keys to further reduce finger movement and at least one sensor to monitor a user's health while typing.

Each accessory device in a set of accessory devices may establish a respective communication link between the accessory device and an ear-wearable device. A particular accessory device in the set of accessory devices may receive data via the communication link between the particular accessory device and the ear-wearable device. The data comprise information generated based on sensor signals from sensors that monitor a user of the ear-wearable device. The accessory devices perform a health monitoring activity based on the data.