@inproceedings{02f69fcf849846b49bfb4f5048b83147,
title = "A high data rate, multi-nodes wireless personal-area sensor network for real-time data acquisition and control",
abstract = "Traditional wireless personal-area sensor network accesses physiological signals from a small number of sensor nodes under a low data communication rate. Some clinical applications, e.g. gait control and posture analysis, may need to access physiological signals from a large number of sensor nodes across body under a faster data communication speed in real-time or at least near real-time. This clinical need introduces a new challenge in the design of high-throughput wireless bodyarea sensor networks with a large capacity of sensor nodes. This paper describes the design of a high-throughput, multi-nodes wireless sensor network platform based on the state-of-the-art single-chip microcontroller unit technology with built-in Wi-Fi connectivity. Experimental test demonstrated that the developed wireless sensor network platform was able to support multi-nodes sensor access (10-20) concurrently under a high data sampling rate (>500Hz) in near real-time with a very low packet lost rate (<1\%). The designed platform may serve as an alternative solution complement to those wireless sensor networks enabled by the low-power, low-communication rate technology.",
keywords = "EEG, EMG, Sensor network, WPAN",
author = "Qisong Wang and Xin Chai and Yuan Wang and Dan Liu and Ming Chen and Yong Li and Xin Liu and Ou Bai",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 1st International Conference on Electronics Instrumentation and Information Systems, EIIS 2017 ; Conference date: 03-06-2017 Through 05-06-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/EIIS.2017.8298564",
language = "英语",
series = "1st International Conference on Electronics Instrumentation and Information Systems, EIIS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--5",
editor = "Jun-Bao Li",
booktitle = "1st International Conference on Electronics Instrumentation and Information Systems, EIIS 2017",
address = "美国",
}