Methods and apparatuses, including devices and systems, for remote and detection and/or diagnosis of acute myocardial infarction (AMI). In particular, described herein are handheld and adhesive devices having an electrode configuration capable of recording three orthogonal ECG lead signals in an orientation-specific manner, and transmitting these signals to a processor. The processor may be remote or local, and it may automatically or semi-automatically detect AMI, atrial fibrillation or other heart disorders based on the analyses of the deviation of the recorded 3 cardiac signals with respect to previously stored baseline recordings.

Fracture-induced composite sensors and methods of their fabrication are disclosed. The sensors can be used as strain sensors, piezo-resistive sensors, piezo-capacitive sensors, and non-contact displacement wearable sensors.

An apparatus comprises at least one processing device configured to generate a model of an outbreak of a disease based on physiological monitoring and location data received from wearable devices of a plurality of users, to determine a first subset of the plurality of users that have potentially contracted the disease based on a comparison of the physiological monitoring data and known symptoms of the disease, to identify a second subset of the plurality of users that are at risk for contracting the disease from the first subset of the plurality of users utilizing the model of the outbreak of the disease and the location data, and to generate notifications for delivery to the plurality of users comprising information related to outbreak of the disease and measures for at least one of treating and mitigating spread of the disease.

A method and system for monitoring breathing comprising: detecting a respiratory pattern of a user; detecting an activity level of said user; determining a suitable actionable intervention recommendation based on the detected respiratory pattern and the detected activity level; presenting the actionable intervention recommendation to the user.

The invention is a low-cost, easily installed, vital signs monitoring system that can provide enhanced monitoring and response for non-ICU patients.

Apparatus, systems, and methods to deliver point of care alerts for radiological findings are disclosed. An example imaging apparatus includes an image data store, an image quality checker, and a training learning network. The example image data store is to store image data acquired using the imaging apparatus. The example image quality checker is to evaluate image data from the image data store in comparison to an image quality measure. The example trained learning network is to process the image data to identify a clinical finding in the image data, the identification of a clinical finding to trigger a notification at the imaging apparatus to notify a healthcare practitioner regarding the clinical finding and prompt a responsive action with respect to a patient associated with the image data.

A compliance and effectiveness tracking engine system including a sensor system to obtain sensed sleep data for a sleep session for a user, and a user interface implementing a user data acquisition system to obtain perceived sleep data from the user after the sleep session. The system further includes a server system implementing a predictive engine to predicted sleep data for the user, based on user background data and transactional data reflecting one or more medical interventions for the user. The server implementing a compliance and effectiveness tracking engine (CETE) to compare the sensed sleep data, the perceived sleep data, and the predicted sleep data, and to determine effectiveness of the one or more medical interventions for the user, and compliance with a protocol associated with the one or more medical interventions.

Embodiments described herein relate to implantable medical devices (IMDs) and methods for use therewith. Such a method includes, during each of a plurality of message alert periods during which a communication capability of the IMD is enabled, determining whether a valid message is detected. In response to determining that no valid message was detected during a message alert period, the communication capability of the IMD is temporarily disable for a disable period. A length of the disable period may be increased in response to no valid message being detected during two consecutive message alert periods. A length of the disable period may be dependent on an operational mode of the IMD, such that the length of the disable period differs for different operational modes. The IMD may also enter a noise state, and remain in the noise state until the IMD receives a specified number of valid messages.

A system (100) and a method for analyzing a physiological condition of a user. The system (100) comprises one or more sensors (102a, 102b) to measure one or more parameters including temperature and relative humidity from the user's skin and/or a corresponding temperature and relative humidity from the user's environment via an air gap. A signal representative of the measured parameters is generated. The system (100) also includes at least one transceiver (108) communicably connectable to the sensing unit (102) via one or more communication interfaces, wherein the transceiver (108) is configurable to analyze one or more received signals to initiate one or more events based on the analyzed parameters of the user. The system (100) further includes a processing unit (110) to receive one or more signals from the transceiver (108) and uses artificial intelligence and machine learning techniques to alert users of an impending physiological condition.

Systems and methods for the remote management of monitored exercise and rehabilitation in the setting of respiratory conditions are provided. Particularly, therapy guidance to an agent is recited. Sensory data and photoplethysmography (PPG) data are collected from a patient. The sensory data is discarded when the PPG data differs from a prototypical waveform pattern. The remaining sensory data is analyzed, in light of historical data, to generate recommendations for the patient. Additionally, systems and methods for providing an emergency services response during the therapy session is provided. The location of the patient is assessed. The system then converts the location information into longitude/latitude coordinates or into jurisdictional named entities. The translated location data for the patient may then be cross referenced with a real-time updated database of emergency medical services (EMS) contact information. In the event of an emergency situation, this data can then be provided to the healthcare worker.