Ramin Ramezani, Wenhao Zhang, Pamela Roberts, John Shen, David Elashoff, Zhuoer Xie, Annette Stanton, Michelle Eslami, Neil S Wenger, Jacqueline Trent, Antonia Petruse, Amelia Weldon, Andy Ascencio, Majid Sarrafzadeh, Arash Naeim
BACKGROUND: On-body wearable sensors have been used to predict adverse outcomes such as hospitalizations or fall, thereby enabling clinicians to develop better intervention guidelines and personalized models of care to prevent harmful outcomes. In our previous work, we introduced a generic remote patient monitoring framework (Sensing At-Risk Population) that draws on the classification of human movements using a 3-axial accelerometer and the extraction of indoor localization using Bluetooth low energy beacons, in concert...
May 23, 2022: JMIR MHealth and UHealth