Patent classifications
A61B5/7246
TISSUE COMPONENT NONINVASIVE MEASUREMENT METHOD, APPARATUS AND SYSTEM, AND WEARABLE DEVICE
A non-invasive detection method and device, and a wearable apparatus for tissue element are provided. The method includes: acquiring, for a detected site of a detected object, a second light intensity measurement value for each predetermined wavelength of at least one predetermined wavelength at a measurement distance, and/or a second light intensity reference value for each predetermined wavelength of at least one predetermined wavelength at a reference distance, wherein the measurement distance is a source-detection distance corresponding to the first light intensity measurement value, and the reference distance is a source-detection distance corresponding to the first light intensity reference value; and determining a concentration of a tissue element to be detected according to the second light intensity measurement value of each predetermined wavelength and/or the second light intensity reference value for each predetermined wavelength.
Correlation of bio-impedance measurements and a physiological parameter for a wearable device
An apparatus device may include a bio-impedance sensor configured to take a bio-impedance measurement from a body of an individual, an optical sensor configured to take an optical measurement from the body of the individual, and a processing device configured to receive a first bio-impedance measurement from the bio-impedance sensor taken during a first period of time and a first optical measurement from the optical sensor taken during the first period of time, receive first location information of the individual during the first period of time, determine a first correlation between a physiological parameter and at least one of the first location, the first bio-impedance measurement, or the first optical measurement, and determine a first level of the physiological parameter based on the first correlation.
Adjustable measurement device
An adjustable measurement device is described that may include a housing, a power supply, a processor, a communication device, an elastic coupling member, a physiological sensor, and/or a clamp. The housing may be configured to attach to a wearable band that is wearable by a subject. The housing may include a chamber within the housing. The power supply, the processor, the communication device, the elastic coupling member, and or the physiological sensor may be disposed within the chamber. The elastic coupling member may couple the physiological sensor to the housing. A force exerted by the elastic coupling member on the physiological sensor may be in a direction through an opening towards a body part of a subject. As the subject wears the wearable band and the housing is coupled to the wearable band, the physiological sensor may be adjacent to or contact the subject.
Smart relaxation mask
Aspects of the present disclosure provide a smart relaxation mask configured to output a stimulus and collect biometric information while the stimulus is output to determine if the subject is paying attention to the stimulus. If the subject is not focused on the stimulus, the mask adjusts at least one of an audio, visual, or haptic output. The stimulus is adjusted in an effort to shift the subject's attention to the stimulus and away from racing thoughts.
System and methods for electrocardiogram beat similarity analysis using deep neural networks
Methods and systems are provided for automatically determining a phase shift and noise insensitive similarity metric for electrocardiogram (ECG) beats in a Holter monitor recording. In one embodiment, a deep neural network may be trained to map an ECG beat to a phase shift insensitive and noise insensitive feature space embedding using a training data triad, wherein the training data triad may be produced by a method comprising: selecting a first beat and a second beat recorded via one or more Holter monitors, determining a dynamic time warping (DTW) distance between the first beat and the second beat, setting a similarity label for the first beat and the second beat based on the DTW distance, and storing the first beat, the second beat, and the similarity label, in a location of non-transitory memory as an ECG training data triad.
PHYSIOLOGICAL MONITOR SYSTEM FOR DETERMINING MEDICATION DELIVERY AND OUTCOME
A method is described for the determination of the taking of a medication utilizing at least one physiological parameter monitoring platform. In addition, the method also may enable the determination of physiological effects or events resultant from the taking of a medication (or lack thereof) through the use of one or more physiological monitoring platforms.
WIRELESS MONITORING OF SAFETY HELMETS
Remote monitoring of a subject wearing a sports helmet is enabled. In one aspect, an example system includes a safety helmet and a sensor integrated with the helmet for continuously gathering head acceleration force data, the head acceleration force data associated with the head movements of a subject. The system can also include a wireless transceiver coupled to the sensor for transmitting the head acceleration force data and a mobile device for receiving the head acceleration force data from the wireless transceiver. The system can further include a database engine for displaying the head acceleration force data to a user.
SYSTEMS AND METHOD FOR IDENTIFYING THE NEED FOR MEASUREMENT OF CARDIAC OUTPUT
The present invention relates to a decision support system (DSS), a medical monitoring system (100), and a corresponding method for identifying the need for measurement of cardiac output (CO) based on one or more comparisons (COMP1, COMP2) in a physiological model. More specifically, for identifying when an approximated value of CO cannot be correct due to circulatory compromise and as such that another estimated or measured value of CO is required.
System and Method for Providing a Real-Time Signal Segmentation and Fiducial Points Alignment Framework
Provided is an electronic device to monitor a user's biological measurements, where a sensor is configured to acquire a first signal from a user, and a diagnostic processor is configured to pre-process the first signal to generate a second signal, segment the second signal to form signal segments, determine at least one event location for each of the signal segments, match adjacent signal segments for feature alignment, and provide a third signal using results of the feature alignment.
Exercise and Communication System and Associated Methods
An exercise and communications system includes an interactive device, a remote device, and an external device, wherein the interactive device is configured to gather data relating to a user of the system and transmit the same to the remote device, and the remote device is configured to provide analyze the data and transmit a response to the interactive device, which in turn communicates the response to the user and additionally communication with an external device for retrieval of instructions, programs, and data, inter alia. An exercise and communications system facilitates communication between a plurality of users, each having an interactive device and a remote device.