Nov 19, 2020 · A novel wavelet-based algorithm for detecting STS transfers from data recorded using an accelerometer on the lower back is presented herein.

The ability to perform sit-to-stand (STS) transfers has a significant impact on the functional mobility of an individual.

Oct 22, 2024 · These results point towards the feasibility of using a single accelerometer on the lower back for detection and assessment of STS transfers ...

Sep 21, 2020 · This paper presents a novel wavelet-based, orientation independent, algorithm for detecting STS transfers from accelerometer data from lower ...

This study aims to characterize STS transfers in the real world and their potential ability to identify older adults at risk of falling.

In this study we identified sit-stand and stand-sit transitions performed during daily life during two days of unsupervised monitoring and compared performance ...

Sit2StandPy is an open source Python package that uses novel algorithms to first detect Sit-to-Stand transitions from lumbar-mounted accelerometer data, and ...

A novel wavelet-based algorithm for detecting STS transfers from data recorded using an accelerometer on the lower back is presented and results point ...

This article introduces a new algorithm for characterizing sit-stand transfer performance in the wild that needs only data from a single inertial sensor secured ...

An instrumented 5xSTS test provides additional information that better discriminates among older adults those at risk of multiple or serious falls.