@inproceedings{ae664fb8191b4efdbe504b32d2053e69,
title = "Wireless body area sensor network for posture and gait monitoring of individuals with Parkinson's disease",
abstract = "This paper presents a wireless body area sensor network that detects and records real-Time posture and gait kinematic data from individuals with Parkinson's disease. The network comprises wearable sensors placed at lower limbs and back of a human body to measure user's kinematics. The collected data are transmitted wirelessly to a receiver and stored in cloud-based database. The time series kinematic data is interpreted with adaptive fractal analysis (AFA) to differentiate a healthy subject from another with PD.We use frequency analysis to differentiate spontaneous movement from cued movement of clinical evaluations of several persons with Parkinson disease (PD).",
keywords = "Parkinson's disease, Wireless sensors, body area network, frequency analysis, gait, posture, time series data analysis",
author = "Ziqian Dong and Huanying Gu and Yu Wan and Wenjie Zhuang and Roberto Rojas-Cessa and Ely Rabin",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 12th IEEE International Conference on Networking, Sensing and Control, ICNSC 2015 ; Conference date: 09-04-2015 Through 11-04-2015",
year = "2015",
month = jun,
day = "1",
doi = "10.1109/ICNSC.2015.7116014",
language = "English (US)",
series = "ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "81--86",
booktitle = "ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control",
address = "United States",
}