Loughborough University
2019-10-15 FINAL PhD Thesis - Jianjia Ma - HD.pdf (25.37 MB)

Innovative intelligent sensors to objectively understand exercise interventions for older adults

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posted on 2019-10-28, 16:04 authored by Jianjia Ma
The population of most western countries is ageing and, therefore, the ageing issue now matters more than ever. According to the reports of the United Nations in 2017, there were a total of 15.8 million (26.9%) people over 60 years of age in the United Kindom, and the numbers are projected to reach 23.5 million (31.5%) by 2050. Spending on medical treatment and healthcare for older adults accounts for two-fifths of the UK National Health Service (NHS) budget. Keeping older people healthy is a challenge. In general, exercise is believed to benefit both mental and physical health. Specifically, resistance band exercises are proven by many studies that they have potentially positive effects on both mental and physical health. However, treatment using resistance band exercise is usually done in unmonitored environments, such as at home or in a rehabilitation centre; therefore, the exercise cannot be measured and/or quantified accurately. Despite many years of research, the true effectiveness of resistance band exercises remains unclear. [Continues.]



  • Mechanical, Electrical and Manufacturing Engineering


Loughborough University

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© Jianjia Ma

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A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of the degree of Doctor of Philosophy of Loughborough University.


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Massimiliano Zecca ; Eef Hogervorst

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  • PhD

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  • Doctoral

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