Sensors, Vol. 20, Pages 6618: Assessment of Sit-to-Stand Transfers during Daily Life Using an Accelerometer on the Lower Back

Sensors, Vol. 20, Pages 6618: Assessment of Sit-to-Stand Transfers during Daily Life Using an Accelerometer on the Lower Back Sensors doi: 10.3390/s20226618 Authors: Lukas Adamowicz F. Isik Karahanoglu Christopher Cicalo Hao Zhang Charmaine Demanuele Mar Santamaria Xuemei Cai Shyamal Patel The ability to perform sit-to-stand (STS) transfers has a significant impact on the functional mobility of an individual. Wearable technology has the potential to enable the objective, long-term monitoring of STS transfers during daily life. However, despite several recent efforts, most algorithms for detecting STS transfers rely on multiple sensing modalities or device locations and have predominantly been used for assessment during the performance of prescribed tasks in a lab setting. A novel wavelet-based algorithm for detecting STS transfers from data recorded using an accelerometer on the lower back is presented herein. The proposed algorithm is independent of device orientation and was validated on data captured in the lab from younger and older healthy adults as well as in people with Parkinson’s disease (PwPD). The algorithm was then used for processing data captured in free-living conditions to assess the ability of multiple features extracted from STS transfers to detect age-related group differences and assess the impact of monitoring duration on the reliability of measurements. The results show that performance of the proposed algorithm was co...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research