Detecting Periodic Limb Movements with Off-the-shelf Accelerometers André Dias a,b,e, Lukas Gorzelniak b,c, Juliane Rudnik d, Dragan Stojanovic d, Alexander.

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Presentation transcript:

Detecting Periodic Limb Movements with Off-the-shelf Accelerometers André Dias a,b,e, Lukas Gorzelniak b,c, Juliane Rudnik d, Dragan Stojanovic d, Alexander Horsch a,b,e,f a Norwegian Centre for Integrated Care and Telemedicine, University Hospital of North Norway, Tromsø, Norway b Institut für Medizinische Statistik und Epidemiologie, Technische Universität München, Germany c Institute for Epidemiology II, HelmholtzZentrum münchen, German Research Center for Environmental Health d Clinic Bad Reichenhall, Center for Rehabilitation, Pneumology and Orthopedics, Germany e Computer Science Department, University of Tromsø, Norway f Department of Clinical Medicine, University of Tromsø, Norway

Periodic Limb movements Afects sleep quality Related to sleep apnea, COPD, hypertension

Gold Standard polysomnography (PSG): lab, expensive, sleep over

Can we use accelerometers? Cheap, easy to use –Follow up of patients after therapy –Self assessment

Subjects and materials Two patients at Clinic Bad Reichenhall PSG: Philips Respironics Alice 5 Accelerometer: Actigraph GT3X –30Hz, 3-axis, pre-filtered –Both legs at ankle

Software code.google. com/p/movy zer/ Similarity function (1) GT3X Graph (left leg), (2) GT3X Graph (right leg), (3) PSG Graph, (4) Log field, (5) Parameters

Results

Discussion 8% similarity: far from relevant for medical applications Other authors have reported underestimation of accelerometers –But we are in contrast higher sampling: 100hz

Unpublished results