The increasing popularity of low-cost Internet and communication technology has increased the opportunity for patients with different diseases to choose their own sports programs based on technology-based solutions. This method of remote guidance and monitoring of exercise can ensure that patients better adhere to and monitor exercise, so as to achieve better intervention effect on disease; At the same time, it can provide patients with a customized exercise program. Although it has expanded the application of tele-motion intervention in the field of medical care, it also makes tele-motion intervention face new opportunities and challenges. The purpose of this paper is to study the effects of tele-motion intervention in different diseases, explore the feasibility and limitations of such programs, and accumulate experience and useful reference for the promotion of tele-motion intervention model in China.

Liu Jia, Zhang Yanqiu, Li Lu, Wang Guanghua. Study on the Influence of Remote Exercise Intervention on Different Diseases from the Perspective of Modern Network Technology. Frontiers in Sport Research (2023) Vol. 5, Issue 1: 28-31. https://doi.org/10.25236/FSR.2023.050106.

[1] Galea, M.D., Telemedicine in Rehabilitation. Phys Med Rehabil Clin N Am, 2019. 30(2): p. 473-483.

[2] Sebastiao, E., et al., Home-based, square-stepping exercise program among older adults with multiple sclerosis: results of a feasibility randomized controlled study. Contemp Clin Trials, 2018. 73: p. 136-144.

[3] Geraedts, H.A., et al., A Home-Based Exercise Program Driven by Tablet Application and Mobility Monitoring for Frail Older Adults: Feasibility and Practical Implications. Prev Chronic Dis, 2017. 14: p. E12.

[4] Oliver, M., et al., Ambient Intelligence Environment for Home Cognitive Telerehabilitation. Sensors (Basel), 2018. 18(11).

[5] Xiaosheng, D., et al., The effects of combined exercise intervention based on Internet and social media software for postoperative patients with breast cancer: study protocol for a randomized controlled trial. Trials, 2018. 19(1): p. 477.

[6] Worringham, C., A. Rojek, and I. Stewart, Development and feasibility of a smartphone, ECG and GPS-based system for remotely monitoring exercise in cardiac rehabilitation. PLoS One, 2011. 6(2): p. e14669.

[7] Dal Bello-Haas, V.P. et al., Lessons learned: feasibility and acceptability of a telehealth-delivered exercise intervention for rural-dwelling individuals with dementia and their caregivers. Rural Remote Health, 2014. 14(3): p. 2715.

[8] Fjeldstad-Pardo, C., A. Thiessen, and G. Pardo, Telerehabilitation in Multiple Sclerosis: Results of a Randomized Feasibility and Efficacy Pilot Study. Int J Telerehabil, 2018. 10(2): p. 55-64.

[9] Ellis, T.D. and G.M. Earhart, Digital Therapeutics in Parkinson's Disease: Practical Applications and Future Potential. J Parkinsons Dis, 2021. 11(s1): p. S95-S101.

[10] American Diabetes, A., 3. Foundations of Care and Comprehensive Medical Evaluation. Diabetes Care, 2016. 39 Suppl 1: p. S23-35.

[11] Umpierre, D., et al., Physical activity advice only or structured exercise training and association with HbA1c levels in type 2 diabetes: a systematic review and meta-analysis. JAMA, 2011. 305(17): p. 1790-9.

[12] Duruturk, N. and M.A. Ozkoslu, Effect of telerehabilitation on glucose control, exercise capacity, physical fitness, muscle strength and psychosocial status in patients with type 2 diabetes: A double blind randomized controlled trial. Prim Care Diabetes, 2019. 13(6): p. 542-548.

[13] Le Ang, et al., Impact of remote diabetes exercise support based on behavior change techniques on exercise self-efficacy in patients with type 2 diabetes. The Chinese Journal of Diabetes, 2019[09]: p. 581-582-583-584-585-586.

[14] Kato, S., et al., Effectiveness of Lifestyle Intervention Using the Internet of Things System for Individuals with Early Type 2 Diabetes Mellitus. Intern Med, 2020. 59(1): p. 45-53.

[15] Cucca, A., et al., Tele-monitored tDCS rehabilitation: feasibility, challenges and future perspectives in Parkinson's disease. J Neuroeng Rehabil, 2019. 16(1): p. 20.

[16] Schenkman, M., et al., Effect of High-Intensity Treadmill Exercise on Motor Symptoms in Patients With De Novo Parkinson Disease: A Phase 2 Randomized Clinical Trial. JAMA Neurol, 2018. 75(2): p. 219-226.

[17] van der Kolk, N.M., et al., Effectiveness of home-based and remotely supervised aerobic exercise in Parkinson's disease: a double-blind, randomised controlled trial. Lancet Neurol, 2019. 18(11): p. 998-1008.

[18] Chatto, C.A., et al., Use of a Telehealth System to Enhance a Home Exercise Program for a Person With Parkinson Disease: A Case Report. J Neurol Phys Ther, 2018. 42(1): p. 22-29.

[19] Quinn, L., et al., Promoting Physical Activity via Telehealth in People With Parkinson Disease: The Path Forward After the COVID-19 Pandemic? Phys Ther, 2020. 100(10): p. 1730-1736.

[20] Yancy, C.W., et al., 2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol, 2013. 62(16): p. e147-239.

[21] Bernocchi, P., et al., Home-based telerehabilitation in older patients with chronic obstructive pulmonary disease and heart failure: a randomised controlled trial. Age Ageing, 2018. 47(1): p. 82-88.

[22] Li, J., et al., Effects of home-based cardiac exercise rehabilitation with remote electrocardiogram monitoring in patients with chronic heart failure: a study protocol for a randomised controlled trial. BMJ Open, 2019. 9(3): p. e023923.

[23] Lloyd, T., et al., The Penn State Heart Assistant: A pilot study of a web-based intervention to improve self-care of heart failure patients. Health Informatics J, 2019. 25(2): p. 292-303.

[24] Jehn, M., et al., Tele-accelerometry as a novel technique for assessing functional status in patients with heart failure: feasibility, reliability and patient safety. Int J Cardiol, 2013. 168(5): p. 4723-8.