A sensor apparatus configured to detect at least one physiological parameter of a subject includes a sensor that detects at least one physiological parameter of the subject as sensor data. An energy harvesting circuit includes a plurality of energy harvesting devices configured to harvest ambient energy from an environment of the subject. The energy harvesting devices generate power at a plurality of voltage potential levels from ambient energy. A conditioning circuit is configured to adjust the plurality of voltage potential levels to a bus voltage supplied to a supply bus. A controller receives operating power via the supply bus and controls the activation of the sensor and the wireless communication circuit.

A wireless, patient-worn, physiological sensor configured to, among other things, help manage a patient that is at risk of forming one or more pressure ulcers is disclosed. According to an embodiment, the sensor includes a base having a top surface and a bottom surface. The sensor also includes a substrate layer including conductive tracks and connection pads, a top side, and a bottom side, where the bottom side of the substrate layer is disposed above the top side of the base. Mounted on the substrate layer are a processor, a data storage device, a wireless transceiver, an accelerometer, and a battery. In use, the sensor senses a patient's motion and wirelessly transmits information indicative of the sensed motion to, for example, a patient monitor. The patient monitor receives, stores, and processes the transmitted information.

A wireless, patient-worn, physiological sensor configured to, among other things, help manage a patient that is at risk of forming one or more pressure ulcers is disclosed. According to an embodiment, the sensor includes a base having a top surface and a bottom surface. The sensor also includes a substrate layer including conductive tracks and connection pads, a top side, and a bottom side, where the bottom side of the substrate layer is disposed above the top side of the base. Mounted on the substrate layer are a processor, a data storage device, a wireless transceiver, an accelerometer, and a battery. In use, the sensor senses a patient's motion and wirelessly transmits information indicative of the sensed motion to, for example, a patient monitor. The patient monitor receives, stores, and processes the transmitted information.

According to one embodiment, there is provided an X-ray diagnostic apparatus which comprises an X-ray generation unit configured to irradiate an object with X-rays; an X-ray detection unit configured to detect X-rays applied by the X-ray generation unit and transmitted through the object; an image generation unit configured to generate an X-ray image based on X-rays detected by the X-ray detection unit; a recording unit configured to record pressure data acquired by using a pressure sensor provided on a guide wire; a measurement position setting unit configured to set a measurement position for a pressure by the pressure sensor using the X-ray image; and a display unit configured to display the X-ray image almost in real time and superimpose and display the measurement position set by the measurement position setting unit.

A method of operating a modular surgical system including a control module, a first surgical module, and a second surgical module is disclosed. The method includes detachably connecting the first surgical module to the control module by stacking the first surgical module with the control module in a stack configuration, detachably connecting the second surgical module to the first surgical module by stacking the second surgical module with the control module and the first surgical module in the stack configuration, powering up the modular surgical system, and monitoring distribution of power from a power supply of the control module to the first surgical module and the second surgical module.

An Internet of Thing (IoT) device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.

Embodiments may provide multimodal diagnostic systems and methods for detecting neurological disorders, such as Alzheimer's disease (AD), Parkinson's disease (PD), depression, PTSD, schizophrenia, dementia and many others. For example, a system for monitoring brain activity may comprise a plurality of sensors, each adapted to monitor a physical or physiological parameter and output a signal representing the monitored physical or physiological parameter, wherein the plurality of sensors includes at least one sensor configured to monitor a brain activity parameter, a data collection device adapted to receive the plurality of signals from the plurality of sensors and to process the signals to form digital data representing the monitored physical or physiological parameters, and a data processing device adapted to process digital data representing the monitored physical or physiological parameters to determine presence of a neurological disorder or condition.

The present disclosure provides a non-contact neck-based respiratory and pulse signal detection method and apparatus, and an imaging device. The method includes: acquiring 3D morphological information of a neck of a human body in real-time; and acquiring a respiratory signal and an electrocardiogram signal of the human body on the basis of the 3D morphological information of the neck.

A wearable device (100) includes a body (1) and a detection electrode (21). The body (1) includes an electrocardiosignal collection circuit (11), and an inner electrode (12) and an outer electrode (13) that are electrically connected to the electrocardiosignal collection circuit (11). The inner electrode (12) is configured to collect an electric potential signal of a first wearing position (200), and the outer electrode (13) is configured to collect an electric potential signal of a non-wearing position (300). The detection electrode (21) can move relative to the body (1), and the detection electrode (21) is configured to electrically connect to the electrocardiosignal collection circuit (11) and collect an electric potential signal of a second wearing position (400). The non-wearing position (300) and the second wearing position (400) are different from the first wearing position (200). The wearable device (100) can measure electrocardiosignal data in time.

Certain aspects of the disclosure are directed to an apparatus including a scale and risk-assessment circuitry which is configured to assess a condition likely linked to the user. The scale includes a platform, and data-procurement circuitry for collecting signals specific to the user and cardio-physiological measurements. The scale includes processing circuitry to process data obtained by the data-procurement circuitry, therefrom generates cardio-related physiologic data, and sends an alert of the condition. The risk-assessment circuitry identifies a risk that the user has a condition based on the reference information and the user data provided by the scale and outputs generic information correlating to the condition to the scale that is tailored based on the identified risk.