Described herein are methods for use with an implantable system including at least an atrial leadless pacemaker (aLP). Also described herein are specific implementations of an aLP, as well as implantable systems including an aLP. In certain embodiments, the aLP senses a signal from which cardiac activity associated with a ventricular chamber can be detected by the aLP itself based on feature(s) of the sensed signal. The aLP monitors the sensed signal for an intrinsic or paced ventricular activation within a ventricular event monitor window. In response to the aLP detecting an intrinsic or paced ventricular activation itself from the sensed signal within the ventricular event monitor window, the aLP resets an atrial escape interval timer that is used by the aLP to time delivery of an atrial pacing pulse if an intrinsic atrial activation is not detected within an atrial escape interval.

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.

Disclosed are a heart rate sensor and an electronic device for collecting heart rate. The heart rate sensor includes a substrate provided thereon with modules optically isolated from each other, the modules including: a first light wave emitting module, configured to emit a green light wave for testing heart rate; second light wave emitting modules, configured to emit a red light wave and an infrared light wave for testing blood oxygen and the heart rate; a first light wave receiving module and a second light wave receiving module, configured to receive a reflected green light wave, a reflected red light wave and a reflected infrared light wave; wherein, the first light wave receiving module and the second light wave receiving module are located on two respective sides of the first light wave emitting module, and the second light wave emitting modules are provided in two groups.

The present disclosure relates generally to a defibrillator assembly comprising a defibrillator having a first operating mode for delivering a high energy output to a patient and a second operating mode for monitoring the patient, a first battery unit operably coupled to the defibrillator, and a second battery unit operably coupled to the defibrillator. One of the first battery unit and the second battery unit provides power to the defibrillator during the second operating mode. Both the first battery unit and the second battery unit provide power to the defibrillator during the first operating mode.

A mechanism is provided in a data processing system to implement a multi-sensor health monitoring platform. The mechanism applies a machine learning model to predict patient needs and patient activity trends based on physiological features and activity features of the patient. The mechanism applies the machine learning model to predict energy requirements for a plurality of medical sensors based on the predicted patient needs and patient activity trends. The mechanism schedules recharging of the plurality of medical sensors based on the predicted energy requirements and identifying one or more sensors to set to an activate state based on the predicted patient needs and patient activity trends. The mechanism collecting sensor data from the one or more sensors and applies the machine learning model to generate a point-of-care recommendation based on the collected sensor data.

One disclosed example method includes receiving sensor data from a biosensor; determining an event using a first analysis based on the sensor data, the first analysis having a first power cost; determining to perform a second analysis based on the event; in response to determining to perform the second analysis, performing the second analysis based on the sensor data, the second analysis having a second power cost greater than the first power cost; and wirelessly transmitting results of the second analysis to a remote device.

A smart clothing and backpack system enables a user to perform many actions. The smart clothing includes circuitry and/or is made of a conductive material enclosed in an insulation material. The smart clothing includes a set of sensors configured to detect body information. The smart clothing includes multiple electromagnets configured to adjust a size of the smart clothing. The electromagnets are configured to have an increased attraction to make the smart clothing tighter on the body of the user. The system includes a smart backpack to communicate with the smart clothing. The smart backpack includes a Radio Frequency IDentification (RFID) reader configured to detect RFID tags on or in items within the smart backpack. Many other features are able to be implemented with the smart clothing and backpack system. The smart clothing is able to include a wetsuit configured to communicate with a surfboard and/or a backpack.

Provided is a reverse current switch. The reverse current switch includes: a comparison unit including a first input end, a second input end, and a first output end; and a switch resistance unit, where a first end of the switch resistance unit is connected to the first input end, a second end of the switch resistance unit is connected to the second input end, and a third end of the switch resistance unit is connected to the output end of the comparison unit, and the switch resistance unit is controlled by a voltage of the first output end. This reverse current switch has a simple structure and can implement working under low voltage conditions.

An insertable cardiac monitor (ICM) with induction-based recharging capabilities and a transmitting coil for recharging the same are disclosed. The length of the monitoring performed by the ICM is extended and the functionality of the ICM enhanced, by including an internal energy harvesting module that allows for charging the ICM at a high speed without burning the patient or overheating components of the ICM. Internally, the energy harvesting module includes at least two overlapping receiving coils that are spaced to be orthogonal to each other and that have a tilt angle of substantially 45°. Such overlapping wire combination allows to minimize mutual inductance of the solenoid coils and increase the rate at which energy can be provided to the energy harvesting module. Further, the rate at which the energy is transmitted from the outside can be increased by defining in a transmitting coil a substantially triangular gap.

A health monitoring device is provided, and may be used in population health monitoring and disease tracing, as well as for individual subject health purposes. The health monitoring device comprises a triboelectric nanogenerator (TENG) for generating and storing electrical energy from mechanical activity of a user. The device provides a continuous and uninterrupted stream of physiological data received at a surface of the device in contact with a surface of the user. The triboelectric nanogenerator is a paper-based device comprising a paper-based material layer and a polydimethylsiloxane/polytetrafluoroethylene (PDMS/PTFE) material layer, each on a copper film. The device has enhanced sensitivity to motion, providing an improved device capable of converting small amounts of movement into electrical energy, and of recording and transmitting data of small physiological changes of a user to a receiver. The device is lithium free, and eliminates the necessity of recharging.