Evaluation of the Tinetti score and fall risk assessment via accelerometry-based movement analysis
作者：
Highlights：
• The Tinetti score is a clinical scale measuring the risk of fall in the elderly.
• Signals from a single wearable accelerometer were used to estimate the Tinetti score.
• Nine features were automatically selected and employed in a neural network.
• Model automatically assigned the fall risk without the intervention of a practitioner.
• The study fosters new technologies to monitor the risk of fall at home.
摘要
•The Tinetti score is a clinical scale measuring the risk of fall in the elderly.•Signals from a single wearable accelerometer were used to estimate the Tinetti score.•Nine features were automatically selected and employed in a neural network.•Model automatically assigned the fall risk without the intervention of a practitioner.•The study fosters new technologies to monitor the risk of fall at home.
论文关键词：Fall risk,Tinetti clinical scale,Mobile-health,Healthy ageing,Artificial neural network
论文评审过程：Received 31 July 2017, Revised 3 August 2018, Accepted 23 August 2018, Available online 6 September 2018, Version of Record 20 March 2019.
论文官网地址：https://doi.org/10.1016/j.artmed.2018.08.005
