A61B5/747

HEALTH TRACKING DEVICE

A device may receive, from a plurality of sensors, sensor data relating to a user. The device may include a plurality of types of sensors including a spectrometer and one or more of an accelerometer, a heart rate sensor, a blood pressure sensor, a blood sugar sensor, a perspiration sensor, a skin conductivity sensor, or an imaging sensor. The device may process the sensor data, from the plurality of types of sensors, relating to the user to determine a health condition of the user. The device may provide, via a user interface, information identifying the health condition of the user based on processing the sensor data, from the plurality of types of sensors, relating to the user.

Head-mounted physiological signal monitoring system, devices and methods

Hat, helmet, and other headgear apparatus includes dry electrophysiological electrodes and, optionally, other physiological and/or environmental sensors to measure signals such as ECG from the head of a subject. Methods of use of such apparatus to provide fitness, health, or other measured or derived, estimated, or predicted metrics are also disclosed.

Detection device and alarm system having the detection device

A detection device which, when an arrhythmia occurs, can prompt rapid taking of a countermeasure against the arrhythmia, and an alarm system having the detection device are provided. A portable detection device 10 has: a measuring section which can measure an electrocardiogram in a state where the section is applied to the body surface of the user; an analyzing section which analyzes whether the electrocardiogram contains an abnormal waveform indicating an arrhythmia or not; and a transmitting section which, if the analyzing section detects the abnormal waveform, transmits a detection signal indicating that the abnormal waveform is detected, to a communication terminal 20 around the user.

Systems and methods for medical monitoring
11253207 · 2022-02-22 · ·

A medical device includes a temperature sensor configured to deliver a temperature signal and an optical sensor configured to deliver an optical signal. The medical device also includes a microcontroller configured to receive the temperature signal and the optical signal. The microcontroller is configured to calculate, in real-time, a body temperature, a pulse rate, a respiratory rate, and a blood oxygen concentration based on the received temperature signal and the received optical signal. The medical device also includes a display configured to display the body temperature, the pulse rate, the respiratory rate, and the blood oxygen concentration of a patient.

Remote valve reopening
11256272 · 2022-02-22 · ·

An abnormal consumption detection system is provided with remote valve control for a distributed water infrastructure. The system may comprise an electronically controllable valve, a remote communication transmitter, a remote communication receiver, at least one sensor for measuring water flow information associated with the distributed water infrastructure, and at least one processor. The system may determine from the water flow information obtained from the at least one sensor a potential abnormal consumption associated with the distributed water infrastructure. The system may automatically close a valve, without human intervention, when the potential abnormal consumption is determined. The system may transmit, via the remote communication transmitter to a remote administrator, alert information about the potential abnormal consumption to enable an administrator to decide based on the transmitted information whether to reopen the valve. The system may receive from the administrator via the remote communication receiver a control signal to reopen the valve, despite the information about the potential abnormal consumption, and reopen the valve.

A METHOD FOR GENERATING A MONITORING SIGNAL USING A SUPERVISING ENTITY OR SAFETY MODULE

The present invention relates to method for generating a monitoring signal by monitoring laboratory values of a patient using a medical app (122). The medical app (122) is executed on a mobile device (102) of the patient, wherein the execution of the medical app (122) on the mobile device (102) of the patient is supervised by a supervising entity or safety module (106, 128), the supervising entity or safety module (106, 128) comprising at least executable program instructions (130). The medical app (122) comprises executable instructions for executing at least one sequence of processes for generating the monitoring signal. The processes comprise safety critical processes. The sequence of processes is triggered by the measurement of the blood glucose level of the patient. The method comprises executing a first process of the sequence of processes, wherein the execution results in the generation of an information, forwarding the information of the executed process to the supervising entity or safety module (106, 128), evaluating the received information by the supervising entity or safety module (106, 128) and executing a second process of the sequence of processes depending on the result of the evaluation.

MOBILE THREE-LEAD CARDIAC MONITORING DEVICE AND METHOD FOR AUTOMATED DIAGNOSTICS

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 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.

Pain-monitoring device and method
11666272 · 2023-06-06 · ·

A pain-monitoring device and method according to an embodiment of the present disclosure is a pain-monitoring device for obtaining information related to a pain of a user and providing a service of monitoring the pain of the user, includes: an input unit sensing pain-related input of the user; a display unit outputting pain-related information; and a control unit controlling the input unit and the display unit, in which the input unit includes: a touch input unit sensing touch input of the user; and a pressure measurement unit measuring pressure input of the user, and the control unit creates user-input pain information in accordance with the sensed pressure input and touch input.

Device to device communication

A method of device to device communication is provided. The method may include obtaining a request for a communication session at a communication system from a first device. The method may further include obtaining profile data of a user associated with the first device and in response to obtaining the request, selecting a second device of multiple second devices to participate in the communication session using the profile data. In some embodiments, the method may also include establishing the communication session between the first device and the second device using the communication system and generating transcript data of the second device audio. The method may also include sending the transcript data and the second device audio to the first device for presentation of the transcription of the second device audio by the first device in substantially real-time with presentation of the second device audio by the first device.

IMAGE-ANALYSIS FOR ASSESSING HEART FAILURE

An apparatus for assessing heart failure can include an image sensor configured to capture image data of a patient, a sensor configured to capture sensor data for the patient, a memory configured to store the image data and the sensor data, and a processor coupled to the image sensor, the sensor, and the memory. The processor is configured to receive image data in response to detecting a biological condition from the sensor data, wherein the biological condition is indicative of psychophysiological health and cardiac health. The processor is further configured to detect a visual characteristic from the image data, wherein the visual characteristic is indicative of heart health, and, in response to detecting the visual characteristic, provide an indication that the patient is experiencing a worsening of heart failure.