I. HORBACHEVSKYY TERNOPIL NATIONAL MEDICAL UNIVERSITY, TERNOPIL, UKRAINE.
Wiad Lek. 2021;74(1):48-51.
The aim: The overarching theme of this paper is to discuss implementation of the telemedicine technology for rehabilitation of patients with injuries of the lower extremities.
Materials and methods: Consecutive patients were recruited over a four-year period. A total of 48 polytrauma patients with lower extremity injuries were enrolled in the study after the resolution of the surgical sequelae. 16 patients from the control group underwent traditional rehabilitation procedures for a 3-week period after injury. A total of 32 subjects were enrolled in the telerehabilitation group for a 3-week study period after injury and were trained with a set of exercises for home use. Home remote monitoring for the 96 test subjects included use of a Portable device with Axis-sensor, temperature and volume sensors, that were fixed to the injured limb. Software permits the monitoring of exercise time, local temperature, the biomechanics of active movements of the injured limb.
Results: The orthopedic surgeon during telerehabilitation took significantly less time to consult patients (1.9 minutes) than the traditional rehabilitation (15.2 minutes). Patient satisfaction was higher for the telerehabilitation with machine learning algorithm (78.3%) than for the orthopedic surgeon's traditional rehabilitation (36.7%).
Conclusions: Subjects reported a higher satisfaction with telerehabilitation than with the traditional orthopedic rehabilitation due to the fact that they spent less time at the hospital and had more time for exercises at home under orthopedic remote monitoring. The telerehabilitation system can be used in complex rehabilitation of patients with injuries of the lower extremities.
本文的主旨是讨论远程医疗技术在下肢损伤患者康复中的应用。
连续四年招募患者。在解决了手术后遗症后,共有 48 名下肢损伤的多发创伤患者入组。对照组 16 例患者在损伤后接受了为期 3 周的传统康复治疗。共有 32 名受试者入组远程康复组,在损伤后进行为期 3 周的研究,并接受了一套家庭使用的练习。对 96 名测试对象进行家庭远程监测,使用带有轴传感器、温度和容积传感器的便携式设备,将其固定在受伤的肢体上。软件允许监测运动时间、局部温度、受伤肢体主动运动的生物力学。
在远程康复中,骨科医生为患者咨询的时间明显少于传统康复(1.9 分钟)(15.2 分钟)。使用机器学习算法的远程康复患者满意度(78.3%)明显高于传统骨科康复(36.7%)。
由于患者在医院花费的时间更少,在家接受骨科远程监测时进行锻炼的时间更多,因此报告对远程康复的满意度高于传统的骨科康复。远程康复系统可用于下肢损伤患者的复杂康复。