Kakegawa Kei, Matsuda Tadamitsu
Department of Physical Therapy, Graduate School of Health Science, Juntendo University, Tokyo 113-0033, Japan.
Sensors (Basel). 2024 Dec 24;25(1):16. doi: 10.3390/s25010016.
Significant developments in sensing technology have had many impacts, enhancing monitoring and assessment accuracy across diverse fields. In the field of physical therapy, sensing, which plays a pivotal role in tele-physiotherapy, rapidly expanded amid the COVID-19 pandemic. Its primary objective is to monitor biological signals and patient movements at remote locations. To further enhance the effectiveness and the scope of tele-physiotherapy, it is essential to further develop sensing and data analysis technologies. However, there are usability and analysis issues that have limited its use. The development of these technologies will not only enhance the accuracy of deep learning by AI through the acquisition of big data, but also has the potential to elucidate movement characteristics associated with movement disorders or pathological conditions. Furthermore, improving sensing technologies can broaden applications extending beyond tele-physiotherapy to impact daily life. Looking forward, it holds promise for improving our understanding of disease prognosis and progression.
传感技术的重大发展产生了诸多影响,提高了各个领域的监测和评估准确性。在物理治疗领域,传感在远程物理治疗中发挥着关键作用,在新冠疫情期间迅速发展。其主要目标是在远程位置监测生物信号和患者运动。为了进一步提高远程物理治疗的有效性和范围,进一步发展传感和数据分析技术至关重要。然而,存在一些可用性和分析问题限制了其应用。这些技术的发展不仅将通过大数据采集提高人工智能深度学习的准确性,还有潜力阐明与运动障碍或病理状况相关的运动特征。此外,改进传感技术可以拓宽应用范围,从远程物理治疗扩展到影响日常生活。展望未来,它有望增进我们对疾病预后和进展的理解。