TNSRE serves the community of biomedical engineers and clinical researchers who work at the intersection of neuroscience and physical medicine. We publish novel approaches and technologies for better understanding neural systems, human movement, and the relationships between them, with a focus on assistive devices that improve life for patients, for practicing clinicians, and for everyday use.
Yongbin Qi received the B.Eng. degree in electrical engineering and automation from Nanjing University of Posts and Telecommunications, Nanjing, China, in 2011. He is currently pursuing the Ph.D. degree in electrical and electronic engineering from Nangyang Technological University, Singapore.
His current research interest involves wireless sensor networks, ultrasound, and ultra-wideband (UWB) for rehabilitation and human motion tracking.
This paper presents a new highly accurate gait phase detection system using wearable wireless ultrasonic sensors, which can be used in gait analysis or rehabilitation applications. The gait phase detection system uses the foot displacement information during walking to extract...
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