TY - GEN
T1 - Potentials of enhanced context awareness in wearable assistants for Parkinson's disease patients with the freezing of gait syndrome
AU - Bächlin, Marc
AU - Roggen, Daniel
AU - Tröster, Gerhard
AU - Plotnik, Meir
AU - Inbar, Noit
AU - Meidan, Inbal
AU - Herman, Talia
AU - Brozgol, Marina
AU - Shaviv, Eliya
AU - Giladi, Nir
AU - Hausdorff, Jeffrey M.
PY - 2009
Y1 - 2009
N2 - Freezing of gait (FOG) is a common gait deficit in advanced Parkinson's disease (PD). It is often a cause of falls, interferes with daily activities and significantly impairs quality of life. Gait deficits in PD patients are often resistant to pharmacologic treatment; therefore effective non-pharmacologic assistance is needed. In this paper we show the potential of context aware assistance for PD patients with FOG and present our first results on start and turn FOG assistance using our modular wearable research platform. We developed a real-time FOG detection system which provides external acoustic cues when FOG is detected from on-body motion sensors, until the subject resumes walking. In an evaluation study, ten PD patients tested our device. We recorded over 8h of data. Eight patients experienced FOG during the study, and 237 FOG events have been identified by physiotherapists in a post video analysis. For the first time PD patients with the FOG syndrome were assisted by a context-aware wearable system. We report a high accuracy of freeze detection (73.1% sensitivity, 81.6% specificity, user independent). Based on subjective reports, the majority of patients indicated a benefit from the automatic cueing. We discuss how additional sensor modalities can paint a more complete view of the user's context and may increase the system's accuracy, decrease its latency, and eventually allow going from freeze detection to freeze preemption.
AB - Freezing of gait (FOG) is a common gait deficit in advanced Parkinson's disease (PD). It is often a cause of falls, interferes with daily activities and significantly impairs quality of life. Gait deficits in PD patients are often resistant to pharmacologic treatment; therefore effective non-pharmacologic assistance is needed. In this paper we show the potential of context aware assistance for PD patients with FOG and present our first results on start and turn FOG assistance using our modular wearable research platform. We developed a real-time FOG detection system which provides external acoustic cues when FOG is detected from on-body motion sensors, until the subject resumes walking. In an evaluation study, ten PD patients tested our device. We recorded over 8h of data. Eight patients experienced FOG during the study, and 237 FOG events have been identified by physiotherapists in a post video analysis. For the first time PD patients with the FOG syndrome were assisted by a context-aware wearable system. We report a high accuracy of freeze detection (73.1% sensitivity, 81.6% specificity, user independent). Based on subjective reports, the majority of patients indicated a benefit from the automatic cueing. We discuss how additional sensor modalities can paint a more complete view of the user's context and may increase the system's accuracy, decrease its latency, and eventually allow going from freeze detection to freeze preemption.
UR - http://www.scopus.com/inward/record.url?scp=70450183795&partnerID=8YFLogxK
U2 - 10.1109/ISWC.2009.14
DO - 10.1109/ISWC.2009.14
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AN - SCOPUS:70450183795
SN - 9780769537795
T3 - Proceedings - International Symposium on Wearable Computers, ISWC
SP - 123
EP - 130
BT - Proceedings - 2009 International Symposium on Wearable Computers, ISWC 2009
Y2 - 4 September 2009 through 7 September 2009
ER -