TY - GEN
T1 - Parkinson's disease patients' perspective on context aware wearable technology for auditive assistance
AU - Bächlin, Marc
AU - Plotnik, Meir
AU - Roggen, Daniel
AU - Inbar, Noit
AU - Giladi, Nir
AU - Hausdorff, Jeffrey
AU - Tröster, Gerhard
PY - 2009
Y1 - 2009
N2 - In this paper we present a wearable assistive technology for the freezing of gait (FOG) symptom in patients with Parkinson's disease (PD), with emphasis on subjective user appreciation. Patients with advanced PD often suffer from FOG, which is a sudden and transient inability to move. It often causes falls, interferes with daily activities and significantly impairs quality of life. Because gait deficits in PD patients are often resistant to pharmacologic treatment, effective nonpharmacologic treatments are of special interest. We have developed an ambulatory device that detects FOG episodes in real-time and provides an automatic cueing sound until the subject resumes walking. We tested our device on ten PD patients. Eight patients experienced FOG during our study. Over 8h of data has been recorded and 237 FOG events have been identified by professional physiotherapists in a post-hoc video analysis. The device detected the FOG events with a sensitivity of 73.1% and a specificity of 81.6% on a 0.5 sec frame based evaluation. The most important finding of the study is that we can provide online assistive feedback for FOG events in PD patients. Based on subjective reports, the majority of patients indicated that the context aware automatic cueing is beneficial for them.
AB - In this paper we present a wearable assistive technology for the freezing of gait (FOG) symptom in patients with Parkinson's disease (PD), with emphasis on subjective user appreciation. Patients with advanced PD often suffer from FOG, which is a sudden and transient inability to move. It often causes falls, interferes with daily activities and significantly impairs quality of life. Because gait deficits in PD patients are often resistant to pharmacologic treatment, effective nonpharmacologic treatments are of special interest. We have developed an ambulatory device that detects FOG episodes in real-time and provides an automatic cueing sound until the subject resumes walking. We tested our device on ten PD patients. Eight patients experienced FOG during our study. Over 8h of data has been recorded and 237 FOG events have been identified by professional physiotherapists in a post-hoc video analysis. The device detected the FOG events with a sensitivity of 73.1% and a specificity of 81.6% on a 0.5 sec frame based evaluation. The most important finding of the study is that we can provide online assistive feedback for FOG events in PD patients. Based on subjective reports, the majority of patients indicated that the context aware automatic cueing is beneficial for them.
UR - http://www.scopus.com/inward/record.url?scp=70350784285&partnerID=8YFLogxK
U2 - 10.4108/ICST.PERVASIVEHEALTH2009.6001
DO - 10.4108/ICST.PERVASIVEHEALTH2009.6001
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AN - SCOPUS:70350784285
SN - 9789639799424
T3 - 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009
BT - 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009
T2 - 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare - Pervasive Health 2009, PCTHealth 2009
Y2 - 1 April 2009 through 3 April 2009
ER -