A system comprising a remotely programmable micromonitor with a wireless sensing system-on-module (SOM), one or more sensors to detect one or more conditions in a subject by monitoring one or more parameters associated with the conditions by comparing any monitored parameter to a baseline measurement of the monitored parameter from the subject, a plurality of sensors corresponding to a monitored parameter and connected to the micromonitor to convey measurements of all monitored parameters, the sensors including at least one of a non-optical pulse wave sensor or an electrocardiogram (ECG) sensor, a communications module capable of communicating with a wireless technology, wherein the module can send an alert signal to the subject or an attending physician or a remote service center or any other subject, and one or more algorithms for monitoring conditions and/or for predicting conditions, including at least one of a fall detection or fall prediction algorithm.

An emergency call apparatus, an emergency call system and a backup method thereof are provided. The emergency call system includes a bedside station, a managing server and at least one target device. In the method, the bedside station detects a triggering signal of an emergency call and then detects a network connection with the managing server. In response to detecting the network connection is connected, the bedside station transmits a request of the emergency call to the managing server and establishes an emergency call connection with the at least one target device according to connection information of the at least one target device stored in the managing server. In response to detecting the network connection is disconnected, the bedside station establishes the emergency call connection with the target device according to a backup of the connection information of the target device stored in the bedside station.

A system is provided for differentiating between water usage of multiple water consumers using a common distributed water infrastructure. The system receives from a water sensor that is upstream of a plurality of appliances, signals indicative of water usage, and constructs from the signals a plurality of water event profile signatures. The system associates, based on differences between similar water event profiles, at least one water event profile signature with a first water consumer and associates a second water event profile signature with a second water consumer, and stores the water event profile signatures for the first water consumer and the second water consumer. The system constructs current water event profiles reflecting subsequent water usage in the distributed water infrastructure, and attributes a first current water event profile to the first water consumer and attributes a second current water event profile to the second water consumer.

Embodiments herein relate to medical device systems including ear-worn devices. In an embodiment, a medical device system includes an ear-worn device including a control circuit, a microphone in electrical communication with the control circuit, an electroacoustic transducer for generating sound in electrical communication with the control circuit, and a power supply circuit in electrical communication with the control circuit. The ear-worn device can be configured to received signals from a separate medical device and generate a notification using the received signals. Other embodiments are also included herein.

In an example method, a mobile device obtains a signal indicating an acceleration measured by a sensor over a time period. The mobile device determines an impact experienced by the user based on the signal. The mobile device also determines, based on the signal, one or more first motion characteristics of the user during a time prior to the impact, and one or more second motion characteristics of the user during a time after the impact. The mobile device determines that the user has fallen based on the impact, the one or more first motion characteristics of the user, and the one or more second motion characteristics of the user, and in response, generates a notification indicating that the user has fallen.

The invention provides a system and method for a mobile-powered desktop ECG system configured for remote monitoring of a patient. Analog ECG waveforms from probes attached to a patient are shared with a base ECG unit. The received analog ECG waveforms are converted into digital ECG waveforms and shared with a smartphone that powers the base ECG unit. The digital ECG waveforms are processed in the smartphone through an ECG application and sent to a cloud. The ECG application enables the smartphone connect with a medical practitioner in case a medical emergency is detected.

Systems, computer-implemented methods and/or computer program products that facilitate real-time response to defined symptoms are provided. In one embodiment, a computer-implemented method comprises: monitoring, by a system operatively coupled to a processor, a state of an entity; detecting, by the system, defined symptoms of the entity by analyzing the state of the entity; and transmitting, by the system, a signal that causes audio response or a haptic response to be provided to the entity, wherein transmission of the signal that causes the audio response or the haptic response is based on detection of the defined symptoms.

The present subject matter relates to methods and systems utilizing wearable sensor technology to determine when a patient's health may be degrading to trigger progressively higher levels of care and involvement, from “free” hands and eyes to skilled clinicians, in order to keep patients in the lowest cost setting of care, the home, for as long as possible.

A stroke detection apparatus comprises a data processing device comprising a processor and at least one wearable sensor configured to generate movement data of at least a portion of the user's body. The data processing device is configured to process first movement data for a first movement and second movement data for a second movement received from the at least one wearable sensor. Wherein the data processing device is configured to determine asymmetry of user's movement based on the first and second movement data and generate a stroke detection signal in dependence on the determined asymmetry.

Among other things, techniques are described for screening and monitoring the health of a vehicle user including receiving sensor data produced by a sensor at the vehicle, processing the sensor data to determine at least one health condition of the user of the vehicle, and in response to determining the at least one health condition, executing a vehicle function selected from a plurality of vehicle functions based on the at least one health condition.