TY - GEN
T1 - Early detection of neurological disease using a smartphone
T2 - 9th International Conference on Sensing Technology, ICST 2015
AU - Lan, Kun Chan
AU - Shih, Wen Yuah
PY - 2016/3/21
Y1 - 2016/3/21
N2 - Diagnosing Parkinson's disease (PD) is often difficult, especially in its early stages. It has been estimated that nearly 40% of people with the disease may not be diagnosed. Traditionally, the diagnosis of Parkinson's disease often requires a doctor to observe the patient over time to recognize signs of rigidity. In this work, we propose a PDR-based method to continuously monitor and record the patient's gait characteristics using a smart-phone. Our tool could be useful in providing an early warning to the PD patient to seek medical assistance and help the doctor diagnose the disease earlier.
AB - Diagnosing Parkinson's disease (PD) is often difficult, especially in its early stages. It has been estimated that nearly 40% of people with the disease may not be diagnosed. Traditionally, the diagnosis of Parkinson's disease often requires a doctor to observe the patient over time to recognize signs of rigidity. In this work, we propose a PDR-based method to continuously monitor and record the patient's gait characteristics using a smart-phone. Our tool could be useful in providing an early warning to the PD patient to seek medical assistance and help the doctor diagnose the disease earlier.
UR - http://www.scopus.com/inward/record.url?scp=84964805041&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964805041&partnerID=8YFLogxK
U2 - 10.1109/ICSensT.2015.7438443
DO - 10.1109/ICSensT.2015.7438443
M3 - Conference contribution
T3 - Proceedings of the International Conference on Sensing Technology, ICST
SP - 461
EP - 467
BT - 2015 9th International Conference on Sensing Technology, ICST 2015
PB - IEEE Computer Society
Y2 - 8 December 2015 through 11 December 2015
ER -