Geng Yang

Geng Yang received his BSc and MSc degrees from the College of Biomedical Engineering and Instrument Science, Zhejiang University (ZJU), Hangzhou, China, in 2003 and 2006 respectively; and the Ph.D. degree from Electronic and Computer Systems from the Royal Institute of Technology (KTH), Stockholm, Sweden in 2013. From 2013 to 2015, he worked as a Post-Doc researcher in iPack VINN Excellence Center, the School of Information and Communication Technology (ICT), KTH, Stockholm, Sweden. Currently, he is with the State Key Laboratory of Fluid Power and Mechatronic Systems, College of Mechanical Engineering, Zhejiang University, Zhejiang 310058, China. He developed low power, low noise bio-electric SoC sensors for m-health. His research interests include flexible and stretchable electronics, mixed-mode IC design, low-power biomedical microsystem, wearable bio-devices, human-computer interface, human-robot interaction, intelligent sensors and Internet-of-Things for healthcare. Member, IEEE.

Associated articles

JBHI, Featured Articles
IoT-Based Remote Pain Monitoring System: From Device to Cloud Platform
        Pain prompts the body to react and prevent further tissue damage. It should be controlled timely and adequately to promote the tissue damage healing process as well as well-being. Valid and reliable assessment of pain is a crucial prerequisite to... Read more
JTEHM, Articles, Published Articles
An IoT-Enabled Stroke Rehabilitation System Based On Smart Wearable Armband And Machine Learning
            Part of the Special Issue on Advanced Internet of Things in Personalized Healthcare Systems: Validation, Analysis and Utilization Abstract Surface electromyography signal plays an important role in hand function recovery training. In this paper, an IoT-enabled stroke rehabilitation system was introduced which... Read more
JBHI, Featured Articles
IoT-enabled Dual-arm Motion Capture and Mapping for Telerobotics in Home Care
With the paradigm shift from hospital-centric healthcare to home-centric healthcare in Healthcare 4.0, healthcare robotics has become one of the fastest growing fields of robotics. The combination of robot capabilities with human intelligence, for example, telerobotics for home care, is... Read more
JTEHM, Published Articles
Teleoperation of Collaborative Robot for Remote Dementia Care in Home Environments
As a senile chronic, progressive and currently incurable disease, dementia has an enormous impact on society and life quality of the elderly. The development of teleoperation technology has changed the traditional way of care delivery and brought a variety of... Read more