Patent classifications
A61B5/0006
ELECTROCARDIOGRAM MEASUREMENT APPARATUS
The present invention relates to an electrocardiogram measurement apparatus (measurement sensor) which can be used in combination with a smartphone by an individual. The electrocardiogram measurement apparatus according to the present invention comprises: two amplifiers for receiving electrocardiogram signals from a first electrode and a second electrode; one electrode driving unit; a third electrode for receiving an output of the electrode driving unit; an A/D converter connected to an output terminal of each of the two amplifiers and converting analog signals into digital signals; a microcontroller for receiving the digital signals from the A/D converter; and a communication means for transmitting the digital signal, wherein: the microcontroller is supplied with power from a battery; the microcontroller controls the A/D converter and the communication means; and each of the two amplifiers amplifies one electrocardiogram signal so as to simultaneously measure two electrocardiogram signals.
Portable electrocardiography device
An electrocardiography device is described that can include a main body, an adjustable cap, and a power switch. The main body can include an electrode of a plurality of electrodes configured to acquire electrical signal from a patient. The adjustable cap can include two electrodes of the plurality of electrodes. The adjustable cap can be rotatable around an axis on the main body to orient the plurality of electrodes on different locations on a body of the patient. The power switch can activate the plurality of electrodes to acquire the electrical signal from the patient. Related apparatuses, systems, methods, techniques and articles are also described.
Wireless Veterinary Patient Monitor
A veterinary vital signs monitoring system, including: (A) two stretchable bands, each having an electrically conductive component; (B) a housing including two fasteners with electrically conductive contacts, each fastener adapted to receive, and lock therein a portion of one of the bands, the conductive contacts adapted to make an electrical connection with electrically conductive components of the bands; and (C) a module housed in the housing and in electrical communication with the conductive contacts, the monitoring module adapted to receive signals relating to vital signs of the animal on which the bands are mounted, via the conductive components thereof.
Expended wear ambulatory electrocardiography monitor
An electrocardiography monitor is provided. A sealed housing includes one end wider than an opposite end of the sealed housing. Electronic circuitry is provided within the sealed housing. The electronic circuitry includes an electrographic front end circuit to sense electrocardiographic signals and a micro-controller interfaced to the electrocardiographic front end circuit to sample the electrocardiographic signals. A buzzer within the housing outputs feedback to a wearer of the sealed housing.
COGNITIVE FUNCTION TEST SERVER AND METHOD
The present invention relates to a cognitive function test server, including a communication interface, a memory; and a processor which is operably connected to the communication interface and the memory, and the processor is configured to provide a first sequence to acquire brainwave data of a user in a resting state by means of an HMD device, acquire baseline brainwave data of the user based on the first sequence, provide at least one second sequence related to a cognitive function by means of the HMD device, acquire input data and activated brainwave data based on the second sequence from the HMD device and an input device connected thereto, and generate a cognitive evaluation result of the user based on at least one of the reference brainwave data, the activated brainwave data, and the input data of the user.
Method for hosting mobile access to high-resolution electroencephalography data
One variation of a method for hosting mobile access to dense electroencephalography data includes: receiving a set of signals, in a raw resolution, recorded by a set of channels in an electroencephalography headset during an electroencephalography test; receiving, from a client computing device, a view parameters for viewing the set of signals on a display; calculating a quantity of raw signal points per pixel column of the display based on the view parameters and a length of a segment of the electroencephalography test; for each signal in the set of signals, for each discrete contiguous sequence of the quantity of raw signal points within the segment of the signal, calculating a value set characterizing the discrete contiguous sequence of the quantity of raw signal points in the signal; and generating a static image representing value sets for each channel, in the set of channels, across the segment of the electroencephalography test.
Blood pressure monitor attachment assembly
A blood pressure monitor configured to removably mount to a cuff in a substantially symmetrical position with respect to a width of the cuff can include a housing defining an interior, a first port, and a second port. The first port can: secure to a first prong of the cuff when the cuff is mounted in a first orientation; receive and secure to a second prong of the cuff when the cuff is mounted in a second orientation; and enable fluid communication between the interior and at least one of a first fluid passage within the first prong and a second fluid passage within the second prong. The second port can: secure to the second prong of the cuff when the cuff is mounted in the first orientation; and receive and secure to the first prong of the cuff when the cuff is mounted in the second orientation.
LOCAL WEARABLE BRAIN WAVE CAP DEVICE FOR DETECTION
A local wearable brain wave cap device for detection is provided to simultaneously detect brainwave and heart rate variability data of a subject and includes a brain wave detection cap, at least one ear electrode and a transmission unit. The brain wave detection cap includes a wearable device and a plurality of electrode units. The wearable device is suitable for arranging the plurality of electrode units on brain wave positions corresponding to head of a subject. Each of the plurality of electrode units includes an accelerator, a storage unit, an input/output unit and a primary amplifier for detecting a brain wave.
ELECTROCARDIOGRAPHY PATCH
An apparatus is provided. A strip has first and second end sections, and a first surface and second surface. Two electrocardiographic electrodes are provided on the strip with one of the electrocardiographic electrodes provided on the first surface of the first end section of the strip and another of the electrocardiographic electrodes positioned on the first surface on the second end section of the strip. A flexible circuit is mounted to the second surface of the strip and includes a circuit trace electrically coupled to each of the electrocardiographic electrodes. A wireless transceiver is affixed on one of the first or second end sections, and a battery is positioned on one of the first or second end sections. A processor is positioned on one of the first or second end sections and is housed separate from the battery.
SYSTEMS AND METHODS FOR COLLECTING, ANALYZING, AND SHARING BIO-SIGNAL AND NON-BIO-SIGNAL DATA
A computer network implemented system for improving the operation of one or more biofeedback computer systems is provided. The system includes an intelligent bio-signal processing system that is operable to: capture bio-signal data and in addition optionally non-bio-signal data; and analyze the bio-signal data and non-bio-signal data, if any, so as to: extract one or more features related to at least one individual interacting with the biofeedback computer system; classify the individual based on the features by establishing one or more brain wave interaction profiles for the individual for improving the interaction of the individual with the one or more biofeedback computer systems, and initiate the storage of the brain waive interaction profiles to a database; and access one or more machine learning components or processes for further improving the interaction of the individual with the one or more biofeedback computer systems by updating automatically the brain wave interaction profiles based on detecting one or more defined interactions between the individual and the one or more of the biofeedback computer systems. A number of additional system and computer implemented method features are also provided.