TY - GEN
T1 - Online FOG Identification in Parkinson's disease with a time-frequency combined Algorithm
AU - Zhao, Y.
AU - Tonn, K.
AU - Niazmand, K.
AU - Fietzek, U. M.
AU - D'Angelo, L. T.
AU - Ceballos-Baumann, A.
AU - Lueth, T. C.
PY - 2012
Y1 - 2012
N2 - Parkinson's disease (PD) is a common degenerative neurological disorder. Freezing of Gait (FOG) is a significant symptom in PD. Sudden FOG causes balance disturbances and increases the risk of falls. An online approach for FOG identification is presented using MiMed-Pants and an online test software with a frequency-time combined algorithm. MiMed-Pants are washable jogging-trousers with integrated accelerometers. Eight Parkinson patients with different FOG severity used the MiMed-pants and walked following arbitrary instructions from a physician. FOG events were identified and recorded both by the online approach and by a physician. Results were compared with each other to determine the sensitivity of the developed algorithm. Using this wearable measurement device, FOG events could be identified without distraction of patients' attention.
AB - Parkinson's disease (PD) is a common degenerative neurological disorder. Freezing of Gait (FOG) is a significant symptom in PD. Sudden FOG causes balance disturbances and increases the risk of falls. An online approach for FOG identification is presented using MiMed-Pants and an online test software with a frequency-time combined algorithm. MiMed-Pants are washable jogging-trousers with integrated accelerometers. Eight Parkinson patients with different FOG severity used the MiMed-pants and walked following arbitrary instructions from a physician. FOG events were identified and recorded both by the online approach and by a physician. Results were compared with each other to determine the sensitivity of the developed algorithm. Using this wearable measurement device, FOG events could be identified without distraction of patients' attention.
UR - http://www.scopus.com/inward/record.url?scp=84864207855&partnerID=8YFLogxK
U2 - 10.1109/BHI.2012.6211542
DO - 10.1109/BHI.2012.6211542
M3 - Conference contribution
AN - SCOPUS:84864207855
SN - 9781457721779
T3 - Proceedings - IEEE-EMBS International Conference on Biomedical and Health Informatics: Global Grand Challenge of Health Informatics, BHI 2012
SP - 192
EP - 195
BT - Proceedings - IEEE-EMBS International Conference on Biomedical and Health Informatics
T2 - IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2012. In Conj. with the 8th Int. Symp.on Medical Devices and Biosensors and the 7th Int. Symp. on Biomedical and Health Engineering
Y2 - 2 January 2012 through 7 January 2012
ER -