Effect of somatosensory exercise based on artificial intelligence technology in home pulmonary rehabilitation of elderly patients with COPD
10.3761/j.issn.0254-1769.2025.05.001
- VernacularTitle:智能化体感运动在老年慢性阻塞性肺疾病患者居家肺康复中的效果评价
- Author:
Qin FU
1
;
Xiumin ZHANG
;
Ming HOU
;
Caihong WANG
;
Xiaomei LI
;
Yongqin MAO
;
Ping LI
Author Information
1. 830011 乌鲁木齐市 新疆医科大学护理学院
- Publication Type:Journal Article
- Keywords:
Pulmonary Disease,Chronic Obstructive;
Aged;
Artificial Intelligence;
Exercise Training;
Pul-monary Rehabilitation;
Nursing Care
- From:
Chinese Journal of Nursing
2025;60(5):517-524
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the application effect of multimodal somatosensory exercise based on artificial intelligence technology in home rehabilitation exercise for elderly patients with chronic obstructive pulmonary dis-ease(COPD),so as to promote COPD patients to participate in home rehabilitation exercise.Methods Using the convenient sampling method,80 elderly patients with COPD admitted to the Department of Respiratory Medicine of a tertiary A hospital in Urumqi from November 2023 to February 2024 were selected as the research subjects.Ac-cording to the random number table method,they were divided into a control group and an experimental group,with 40 cases in each group.The control group adopted the traditional exercise training method,and the experimental group adopted the multi-modal somatosensory movement based on artificial intelligence technology for exercise in-tervention,with 5 times a week,and the intervention was implemented for 12 weeks.The pulmonary function index,modified Medical Research Council scale score,physical fitness level,Chronic Obstructive Pulmonary Disease As-sessment Test scale score and exercise compliance of the 2 groups were compared before intervention and 12 weeks after intervention.Results 77 patients completed the study,with 39 in the experimental group and 38 in the control group.The forced vital capacity,forced expiratory volume in one second,forced expiratory volume in one second to forced vital capacity ratio,physical fitness level and exercise compliance of the experimental group were higher than those of the control group,while the modified British Medical Research Council scale score and Chron-ic Obstructive Pulmonary Disease Assessment Test score were lower than those of the control group.The differences were statistically significant(P＜0.05).Conclusion Somatosensory exercise based on artificial intelligence technology can improve the lung function of the patients with COPD,improve the exercise compliance and physical fitness in-dicators of elderly patients and improve the quality of life of the patients.
