Other

University of California

Canon Medical Systems Corporation

Vadim Malis

Oliver Kurt Karl-Heinz Ernst

Mitsue Miyazaki

Yoshimori Kassai

Nelson Nientsu Hua

Won Bae

A method and system for measuring exercise data using a plurality of wireless sensors is disclosed. The plurality of wireless sensors are attached onto or into a plurality of pieces of strength training equipment, wherein each individual wireless sensor from the plurality of wireless sensors is attached to and associated with an individual piece of strength training equipment of the plurality of pieces of strength training equipment. An individual piece of strength training equipment of the plurality of pieces of strength training equipment is selected and the wireless sensor is registered with selected piece of strength training equipment with a computing device. Strength training equipment details may be identified through the computing device.

System for automatically logging strength exercise data

In one embodiment, an MRI apparatus includes: a scanner that includes a static magnetic field magnet, a gradient coil, and a WB coil; and processing circuitry. The processing circuitry is configured to: cause the scanner to image, under a first imaging method, a tissue including a perfusion route of body fluid that removes waste products of the object the body fluid including neurofluid; generate an anatomical image of the tissue from first data acquired by imaging under the first imaging method; cause the scanner to image perfusion behavior of the body fluid in real time under a second imaging method using non-contrast perfusion imaging; generate a perfusion image indicating the perfusion behavior of the body fluid from second data acquired by imaging under the second imaging method; and generate a fused image by combining the anatomical image and the perfusion image.

MRI apparatus

A system for measuring, displaying, storing and utilizing user-specific exercise data from selectorized fitness machines, including the weight, repetitions, and any other physical parameters derivable from the weight and displacement of the weight stack. The system is comprised of two coupled sensor systems: an infrared sensor and multiple Hall effect sensors. The sensors are mounted to an adjustable stand that can be retrofitted to any selectorized fitness machine. The system analyzes the measurements and sends the data to a server for storage on a per-user basis. Users are identified by a near-field communication (NFC) tag or facial recognition. The system uses an innovative coupled NFC/QR/facial recognition&#x2014;Bluetooth paradigm to transmit exercise data in real-time to the Bluetooth-enabled mobile device of the user. A mobile application allows users to view the exercise data, to follow predefined workout plan, and to retrieve stored data from a remote server.

System for measuring, monitoring and displaying physical parameters of exercises on selectorized fitness machines

Growing community of inventors

San Diego, CA, United States of America

Vadim Malis