Electric and Computer Systems Engineering Department, Monash University, Clayton, VIC 3800, Australia.
Physiology Department, Monash University, Clayton, VIC 3168, Australia.
Sensors (Basel). 2021 Oct 14;21(20):6836. doi: 10.3390/s21206836.
Radar technology is constantly evolving, and new applications are arising, particularly for the millimeter wave bands. A novel application for radar is gait monitoring for fall prevention, which may play a key role in maintaining the quality of life of people as they age. Alarming statistics indicate that one in three adults aged 65 years or older will experience a fall every year. A review of the sensors used for gait analysis and their applications to technology-based fall prevention interventions was conducted, focusing on wearable devices and radar technology. Knowledge gaps were identified, such as wearable radar development, application specific signal processing and the use of machine learning algorithms for classification and risk assessment. Fall prevention through gait monitoring in the natural environment presents significant opportunities for further research. Wearable radar could be useful for measuring gait parameters and performing fall risk-assessment using statistical methods, and could also be used to monitor obstacles in real-time.
雷达技术不断发展,新的应用不断涌现,特别是在毫米波频段。雷达的一个新应用是步态监测,以预防跌倒,这可能在维持老年人的生活质量方面发挥关键作用。令人震惊的统计数据表明,每三个 65 岁或以上的成年人中就有一个每年都会经历一次跌倒。对用于步态分析的传感器及其在基于技术的跌倒预防干预中的应用进行了回顾,重点是可穿戴设备和雷达技术。确定了知识空白,例如可穿戴雷达的开发、特定于应用的信号处理以及使用机器学习算法进行分类和风险评估。通过在自然环境中进行步态监测来预防跌倒,为进一步研究提供了重要机会。可穿戴雷达可用于测量步态参数,并使用统计方法进行跌倒风险评估,也可用于实时监测障碍物。