Studia i Materialy Informatyki Stosowanej, Tom 10, Nr 1, 2018 str. 5-8 5 WEARABLE DEVICES IN CLINICAL GAIT ANALYSIS Dariusz Mikolajewski 1 , Emilia Mikolajewska 2 , Piotr Prokopowicz *1 , Mykola Nedashkovskyy 1 1 Kazimierz Wielki University, Faculty of Math, Physics and Technology, Institute of Mechanics and Applied Computer Science, Kopernika 1, 85-064 Bydgoszcz, Poland 3 Nicolaus Copernicus University in Toruń, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Faculty of Health Sciences, Department of Physiotherapy,ul. Jagiellońska 13-15, 85-067 Bydgoszcz, Poland e-mail: piotrekp@ukw.edu.pl Streszczenie: Mobilna, efektywna, dokladna, szczególowa, wczesna i tania kliniczna analiza chodu ma kluczowy wplyw na planowanie, postęp i ocenę strategii i modeli rehabilitacji, jak również przedmiotów zaopatrzenia ortopedycznego. Nowe rodziny mobilnych rozwiązań do klinicznej analizy chodu mogą zapewnić wczesniejsze wykrywanie, dokladniejszą diagnostykęoraz efektywniejszą terapię deficytów chodu. Zdalna integracja ww. rozwiązań ze szpitalnym systemem informacyjnym może zapewnić lepszą i aktualniejszą wiedzę na potrzeby klinicznego podejmowania decyzji. Niniejszy artykul stanowi przegląd urządzeń do pomiaru wybranych parametrów chodu, w zależności od poządanej dokladności. Slowa kluczowe: systemy mobilne, eZdrowie, urządzenia do noszenia, analiza chodu, kliniczna analiza chodu. Urządzenia do noszenia w klinicznej analizie chodu Portable, efficient, exact, detailed, early and cost-effective clinical gait analysis (CGA) has key influence for planning, development and assessment rehabilitation strategies and models, as far as for prosthetics assessment. Novel families of mobile CGA solutions may provide earlier detection, more exact diagnosis, and more effective therapy of the gait disorders. Remote integration of aforementioned solutions to hospital information system may provide better and more actual knowledge for clinical decision-making purposes. This study aims at review of the alternative wearable devices to measure selected gait parameters, depending on the desired accuracy level. Keywords: mobile system, mHealth, wearable device, gait analysis, clinical gait analysis. 1. Introduction Many spatiotemporal parameters of gait such as velocity, cadence, stride length, step time may be associated with physical function in many patients Despita many years of development they are still difficult, time consuming and obtrusive to measure. Portable, efficient, exact, detailed, early and cost- effective clinical gait analysis (CGA) has key influence for planning, development and assessment rehabilitation strategies and models, as far as for prosthetics assessment. Thus CGA plays crucial role within clinical decision- making process. Traditional measurement of gait parameters requires motion tracking systems combined with force plates. Environment of the gait laboratory is often regarded as “artificial” and has its own limitations: specialized locomotion laboratory, expensive equipment, limited area of walking and associated activities, and time- consuming set up and post-processing. Clinical gait analysis in natural environment of patients allows for recording and analysis of the natural real-life gait of the patients, expected during activities of daily living (ADLs). CGA is closer to every-day life conditions, allows for taking into consideration different aspects of gait, sometimes even in more precise form (e.g. characteristics of patient’s home environment). There is need to admit, that gait analysis