Automated assessment of balance: A neural network approach based on large-scale balance function data.

Balance impairment (BI) is an important cause of falls in the elderly. However, the existing balance estimation system needs to measure a large number of items to obtain the balance score and balance level, which is less efficient and redundant. In this context, we aim at building a model to automatically predict the balance ability, so that the early screening of large-scale physical examination data can be carried out quickly and accurately.

The effectiveness of low intensity exercise and blood flow restriction without exercise on exercise induced muscle damage: A systematic review.

Objective: To investigate the evidence and provide clinical recommendations for low intensity exercises(LIE) and blood flow restriction(BFR) without exercise on reducing the effects of exercise induced muscle damage(EIMD).

Method: PubMed, Embase, Web of science, and PEDro(Physiotherapy Evidence Database) were searched up to December 2019 for studies that included LIE or BFR without exercise and their effect on EIMD.

Results: Out of 3192 studies, 23 were included with 17 on LIE and 6 on BFR without exercise.