Amanda Paluch, UMass Amherst. Dae Hyun Kim, Hebrew SeniorLife. Rags Gupta, Butlr Technologies Inc. This AITC pilot project explored the use of non-invasive, ceiling-mounted heat sensors to detect frailty in older adults living in senior communities.
Ipsit Vahia, McLean Hospital. Rachel Sava, McLean Hospital. The ADAPT pilot study explored the use of wearable sensor technology to support psychopharmacological care in individuals with Alzheimer’s disease and related dementias.
Jen Blankenship, VivoSense Inc. Michael Busa, UMass Amherst. This pilot study aimed to develop and validate new algorithms for detecting walking behavior using wearable sensors in older adults, including those with Alzheimer’s disease or mild cognitive impairment.
Erik Larsen, Sonde Health. Brad Dickerson, Massachusetts General Hospital. Bonnie Wong, Massachusetts General Hospital. The pilot project, conducted by researchers from Massachusetts General Hospital and Sonde Health, explored the use of a vocal biomarker platform to detect and monitor cognitive impairment in older adults.
About Billion Labs Inc. strives to reach the billions of people in the world through health monitoring solutions built on top of the sensors and computational capability of smartphones, transforming smartphones into the next billion medical devices. The technology at Billion Labs is supported by scientific research pioneered at the University of California, San Diego (UCSD), a world leading institution on biomedical engineering research, where our founder/CEO Dr. Edward Wang directs the Digital Health Technologies Laboratory as a faculty member in the School of Engineering and Design. Billion Labs’ mission is to bring cutting-edge digital health tools through rigorous regulatory requirements to provide health monitoring solutions where traditional clinical tools cannot by augmenting remote/telehealth services with the ability to monitor vitals without expensive medical equipment. Website: https://www.billionlabsinc.com/
Among their 2022 Awardees, Inc 5000 listed Electronic Caregiver as #969 among the fastest growing private companies in America Source: https://www.inc.com/inc5000/2022#
The base gait forecasting and estimation transformer model that is leveraged for this pilot is available open-source. Source: https://github.com/markendo/GaitForeMer