Objective To develop a data glove evaluation system to assist rehabilitation physicians and therapists in assessing the degree of rehabilitation of hand-wounded patients. Methods A data glove containing 136-axis inertial sensors was designed and produced. It was tested on 10 healthy subjects and 3 hand trauma pa-tients admitted to the Department of Rehabilitation Medicine at Run Run Shaw Hospital. The glove transmitted ac-celeration and angular velocity components in the X, Y and Z directions to a computer terminal, allowing the ben-ding angles of the subject′s finger joints to be calculated. Traditional protractor measurements were used to verify to what extent the data glove accurately reflected the hand and joint activity. Results Compared with the traditional protractor measurement method, the data glove quickly gave accurate maximum bending angles both in healthy and hand-wounded subjects . Such data can facilitate the rehabilitation of hand injuries. Conclusions The data glove produced in this study can effectively assist rehabilitation doctors and therapists in assessing the recovery of hand-injured patients.

With the rapid changes in people's lifestyles, natural and social environments in recent years, the prevalence of chronic and non-communicable diseases in China and its related risk factors have also had tremendous changes. The epidemiological characteristics of chronic and non-communicable diseases and their risk factors vary throughout the country, and the impact of unique climate, diet and lifestyle in southern China on the incidence and prevalence of chronic and non-communicable chronic diseases remains to be elucidated. Therefore, large-scale cohort study is urgently needed to provide evidence for the etiological research and management of chronic and non-communicable chronic diseases in different areas, and for the national management strategy for major chronic and non-communicable diseases. The prospective cohort study of chronic and non-communicable diseases in general population in southern China was established in December 2017. The study recruited permanent residents aged 35-74 years from both urban and rural areas in Guangdong, Hainan, Fujian Provinces and Guangxi Zhuang Autonomous Region. A big data platform of precision medicine which integrates health information with biological samples for long-term follow up has been established. A baseline database of 116 520 people aged (54.9±12.5) years, including 71 077 women (61.0%), has been established. Collecting questionnaire survey data, physical examination data, and biological samples. This paper briefly introduces the concept, design and progress of the prospective cohort study of chronic and non-communicable diseases in general population in southern China.