A contact lens according to an embodiment of the present disclosure includes a lens unit to be placed on an eyeball and a mesh-like or meandering linear communication electrode provided in all or a portion of the lens unit.

A physiological signal monitoring system includes a single set of sensing electrodes to provide conditioned physiological signals to a primary monitoring device and a secondary monitoring device. The monitoring system includes pre-processing circuitry configured to receive a raw physiological signal. The pre-processing circuitry is configured to produce a primary physiological signal and a secondary physiological signal. Each of the primary and secondary physiological signals are conditioned. The primary conditioned physiological signal is directed to a primary monitoring device such as a hospital wearable defibrillator device. The secondary conditioned physiological signal is directed to telemetry modeling circuitry where it is further processed to output one or more telemetry signals. The one or more telemetry signals are output to a secondary monitoring device such as a three lead ECG monitoring device. Thus, a single set of sensing electrodes can provide physiological signals to multiple monitoring devices.

A device and method for detecting a sign parameter are provided. A luminous source (01) is utilized to irradiate human skin tissue(s) for a preset time. The luminous source (01) can emit light with set wavelength(s) and capable of being absorbed by substance(s) for characterizing human body sign(s) in a human body. A photoelectric sensor (02) is configured to detect absorbance of the human body to the light emitted by the luminous source (01) within the preset time, and send a detection result to a processor (03). The processor (03) is configured to calculate substance concentration(s) of the substance(s) for characterizing the human body sign(s) in the human body according to the detection result sent by the photoelectric sensor (02). Therefore, blood samples of subjects do not need to be collected, and the substances for characterizing the human body signs can be detected through a non-invasive method.

What is disclosed is a system for measurement and analysis of blood pressure of a test subject comprising a blood pressure measuring cuff unit; a waveform analysis subsystem coupled to said blood pressure measuring cuff unit via a network; and wherein said cuff unit acquires a digital pulse pressure waveform from a wrist of the test subject, said digital pulse pressure waveform is transmitted over said network to said waveform analysis subsystem, and said waveform analysis subsystem processes said digital pulse pressure waveform to extract one or more blood pressure parameters and hemodynamic parameters.

The present invention relates to a wearable smart appliance in the form of a wristwatch. The appliance is designed to track a user's vital signs and send real-time alerts to a paired electronic device for remote monitoring of the user. More specifically, the appliance tracks vital signs such as heart rate, and notifies a parent or guardian if the user is in danger. The appliance also includes a water sensor that activates an alert if the sensor is underwater for a certain length of time. A GPS sensor detects the current location of the user and is included in the real-time alerts during emergencies.

A system and method for detecting brain concussion includes detecting and measuring of acceleration at one or more points on a subject's head. Sensors, which can be accelerometers placed against the head, detect and measure natural motions of the patient's head due to blood flow in the brain and resultant movement of tissue in the brain. An observation is then made, as compared with data corresponding to non-concussion, of a change in frequency response pattern exhibited when accelerations are plotted as a function of time or frequency, to identify probable concussion. Preferably the observation and comparison are made by a computer using an algorithm.

This invention relates to an ingestible drug delivery device configured for wireless communication with other ingestible drug delivery devices.

A system for monitoring and measuring itch of a patient includes a wearable device including an actigraph sensor; and a controller electrically connected to the wearable device and including a processor and a memory. The wearable device is configured to measure, via the actigraph sensor, a movement of the patient; and send data indicative of the measured movement of the patient to the controller. The controller is configured to receive, via the processor, the data indicative of the measured movement; and determine, via the processor, a scratching movement of the patient based on the data indicative of the measured movement.

In an example method, a mobile device obtains sample data generated by one or more sensors over a period of time, where the one or more sensors are worn by a user. The mobile device determines that the user has fallen based on the sample data, and determines, based on the sample data, a severity of an injury suffered by the user. The mobile device generates one or more notifications based on the determination that the user has fallen and the determined severity of the injury.

A pelvic floor contraction detection system and method to evaluate pelvic floor muscle (PFM) exercise performed by a user are disclosed. The contraction detection system comprises a probe adapted to position within a pelvic cavity of the user, a data processing module, and a user interface. The probe comprises two or more sections. Each section is filled with a group of electronic sensors. The first and second sections are seated in contact with tissues of the pelvic cavity. The first and second groups of sensors are configured to detect pressure applied by the internal vaginal surface on the surface of the first and second sections of the probe respectively. The data processing module is in communication with the first and second groups of sensors and configured to calculate a number that is interpreted as the “quality of the contraction”. The data processing module determines the incorrect pelvic floor muscle contraction and notifies the user via a user interface.