Multifunctional wireless apparatus, spectrometry instruments, real-time computational system and device ergonomic forms for live and telemetry monitoring of clinical parameters, health data and other vital medical information. Clinical parameters and medical information include pulse rate, respiratory rate, continuous blood glucose levels, continuous blood pressure levels, pulse rate variability, oxygen saturation ratio, body temperature, bio-electrical activity, sleep patterns, sleep health and other vital bio-signal data. The telemetry apparatus encompasses electrical and optical spectrometer instruments. The spectrometer designs and its accompanying circuit design ensure that device is bio-safe, lightweight, low-powered and portable. The bio sensor configuration, comprehensive hardware design, computational process and ergonomic design enables the measurement with more accuracy and efficiency, even in movement artefact prone conditions. The system design also assures that the computational process is real-time, faster and low powered. The wireless apparatus keeps track of the user information on daily diet pattern, fluid and water intake, exercise intensity, other essential health data, and provides necessary alerts. The apparatus yields persona-oriented stress levels and helps the user manage stress through guided practices. The health management system functions based on the user inputs and previously computed parameters. An automated life-support functionality is integrated in the system, that can forecast chronic clinical conditions and health risks like sleep apnea, hypertension, hypoglycemia, hyperglycemia, hypothermia, hyperthermia, CO poisoning, fatigue conditions and more.

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.

A stroke scale system includes a patient support apparatus having one or more pressure sensors that can be grasped by a patient, one or more motion detectors that detect movements of the patient, a display unit, an audio unit; and a controller. The stroke scale system performs a series of stroke scale examinations. At least one stroke scale examination instructs the patient to grasp a portion of the patient support apparatus, and the pressure sensors determine compliance with the instructions by measuring an applied pressure to the portion of the patient support apparatus. The stroke scale system calculates a stroke scale score by combining scores determined from the series of stroke scale examinations.

A sensor network for measuring physiological parameters of a mammal subject includes a plurality of spatially separated sensor systems that is time-synchronized to each other. Each of the plurality of spatially separated sensor systems is attached to a respective position of the mammal subject and includes a sensor member for measuring at least one physiological parameter, a system on a chip (SoC) having a microprocessor coupled to the sensor member for receiving data from the sensor member and processing the received data, and a transceiver coupled to the SoC for wireless data transmission and wireless power harvesting. The sensor network also includes a microcontroller unit (MCU) adapted in wireless communication with the plurality of spatially separated sensor systems for wirelessly transmitting data to and from the plurality of spatially separated sensor systems.

Introduced here are pressure-mitigation systems able to mitigate the pressure applied to a human body by the surface of an object. A system can include a pressure-mitigation device with chambers whose pressure can be varied by a controller that regulates the flow of fluid produced by a pump. The controller may be deployed as part of a closed loop system that autonomously infers information related to the health of a patient based on data related to the pressure of these chambers. For example, the data may be examined to determine whether the values indicate the patient is properly situated. A notification may be presented responsive to determining that the patient is not situated on the pressure-mitigation device, the patient has been improperly situated on the pressure-mitigation device for a certain amount of time, etc. Thus, real-time feedback may be provided to those responsible for monitoring the patient.

Medical devices coupled to a sensor, and systems including such devices, can generate data and analysis based on that data, which may be used to identify and/or address problems associated with the implanted medical device, including incorrect placement of the device, unanticipated degradation of the device, and undesired movement of the device. Also provided are medical devices coupled to a sensor, and devices and methods to address problems that have been identified with an implanted medical device.

A posture support device, including a main body to support a weight of a user thereon, a control unit disposed within at least a portion of the main body to connect the user to an external mobile device of a third party in response to an emergency, and to display the third party on the control unit, a speaker disposed on at least a portion of the main body to emit at least one sound received from the external mobile device during conversations with the third party, and a medication compartment disposed around at least a portion of the main body to store at least one medication therein.

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.

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.

Aspects of the invention include a computer-implemented method that includes generating an intermediate ECG vector representation and an intermediate optical sensor vector representation. The intermediate ECG vector representation and the intermediate optical sensor vector representation is translated to a joint representation in a vector space. The similarities detected between the electrocardiogram (ECG) data and optical sensor data from the joint vector space representation. Features that are indicative of an ischemic disease of a patient are extracted from the joint vector space representation based at least in part on the detected similarities. The ischemic disease of the patient is detected based at least in part on the extracted features.