Research Topics
| Zhelong WangSummaryAffiliation: Dalian University of Technology Country: China Publications
| Collaborators |
Detail Information
Publications
An incremental learning method based on probabilistic neural networks and adjustable fuzzy clustering for human activity recognition by using wearable sensorsZhelong Wang
School of Control Science and Engineering, Dalian University of Technology, Dalian 116023, China
IEEE Trans Inf Technol Biomed 16:691-9. 2012..The experimental results from comparison with other classification methods demonstrated the effectiveness of the proposed method further...
A wireless medical information query system based on Unstructured Supplementary Service Data (USSD)Zhelong Wang
School of Electronic and Information Engineering, Dalian University of Technology, Dalian, Liaoning, PR China
Telemed J E Health 14:454-60. 2008..The medical information query system was implemented and tested to demonstrate practicality and reliability. The practical test shows that the system is convenient, efficient, quick, and secure...
Understanding and analysis of CAOS development in context: the case of ChinaZhelong Wang
School of Electronic and Information Engineering, Dalian University of Technology, Dalian, Liaoning, People s Republic of China
Int J Med Robot 4:252-7. 2008..In adopting CAOS, China is facing many problems, gaining experience and learning lessons...
A review of telemedicine in ChinaZhelong Wang
School of Electronic and Information Engineering, Dalian University of Technology, Dalian, Liaoning, China
J Telemed Telecare 15:23-7. 2009..We suggest that the Chinese government needs to make a policy in favour of rural people and invest more in telemedicine, so that they can enjoy low-cost telemedicine services and foster a large telemedicine market...
A method to deal with installation errors of wearable accelerometers for human activity recognitionMing Jiang
School of Control Science and Engineering, Dalian University of Technology, Dalian, Liaoning, People s Republic of China
Physiol Meas 32:347-58. 2011..The average accuracy rate from ten subjects was 95.1% when there were no installation errors, and was 91.9% when installation errors were involved in wearable accelerometers...
