Tal Shany

TL;DR: An overview of common ambulatory sensors is presented, followed by a summary of the developments in this field, with an emphasis on the clinical applications of falls detection, falls risk assessment, and energy expenditure.

TL;DR: In this paper, the authors discuss various practical questions involving sensor-based fall risk assessment (SFRA), and discuss the important question of whether SFRA should or can be used in either a supervised or an unsupervised manner, and what possible deployment scenarios exist for it.

TL;DR: This Letter reviews publications which incorporated features extracted from sensor signals into statistical models intended to estimate fall risk or predict falls in older people, raising concerns that this body of literature is presenting over-optimistic results.

TL;DR: Home telemonitoring was adopted well by most patients and eventually, also by the nursing staff, though it did not seem to change patients’ psychological well-being and the trends of reducing hospital visits warrant a larger study of a similar design.

TL;DR: This study investigated the capability and validity of using a waist-mounted triaxial accelerometer (TA) and a directed routine (DR) that includes three movement tasks to discriminate between fallers and non-fallers and between multiple fallersand non-multiple fallers.