Publications by authors named "Ting-Yuan Huang"
Article Synopsis
- * A sample of 1,629 participants aged 65 and older from Guangzhou was surveyed to gather data on demographics, health, lifestyle, and the incidence of falls, using questionnaires and statistical analyses to identify significant risk factors.
- * Results revealed that 15.41% reported falls, and 9.46% experienced injuries from these falls, with key risk factors including being female, aged 80+, unemployed, uninsured, having a moderate income, high levels of chronic illnesses, and varying levels of physical activity. *
Article Synopsis
- Falls are a significant public health issue for the elderly in Guangzhou, China, accounting for 49.41% of injuries from 2014 to 2018, with monthly cases peaking in December and minimal in April.
- The study found positive correlations between monthly elderly falls and wind speed, while atmospheric pressure negatively affected fall rates, indicating weather influences these incidents.
- A multiple linear regression model revealed that wind speed and atmospheric pressure are independent factors impacting falls among the elderly, suggesting weather-related prevention strategies could reduce fall injuries.
A greater variety of technologies are being applied in sports and health with the advancement of technology, but most optoelectronic systems have strict environmental restrictions and are usually costly. To visualize and perform quantitative analysis on the football kick, we introduce a 3D motion analysis system based on a six-axis inertial measurement unit (IMU) to reconstruct the motion trajectory, in the meantime analyzing the velocity and the highest point of the foot during the backswing. We build a signal processing system in MATLAB and standardize the experimental process, allowing users to reconstruct the foot trajectory and obtain information about the motion within a short time.
View Article and Find Full Text PDFFew studies have concentrated on the prevalence and related factors of depression and falls among the elderly living in rural communities of Guangzhou. A total of 335 participants aged ≥60 years were recruited by simple random sampling method. A structural equation model was applied to determine interrelationships between depression, falls and other variables.
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