Wearable devices in clinical gait analysis

• Autorzy: Mikołajewski D. , Mikołajewska E. , Prokopowicz P. , Nedashkovskyy M.

Identyfikatory

DOI

10.5281/zenodo.4320749

Warianty tytułu

PL

Urządzenia do noszenia w klinicznej analizie chodu

• Języki publikacji: EN

Abstrakty

EN

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.

PL

Mobilna, efektywna, dokładna, szczególowa, wczesna i tania kliniczna analiza chodu ma kluczowy wpływ 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, dokładniejszą 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 artykuł stanowi przegląd urządzeń do pomiaru wybranych parametrów chodu, w zależności od poządanej dokładności.

Słowa kluczowe

EN

mobile system; mHealth; wearable devices; gait analysis; clinical gait analysis

PL

systemy mobilne; e-zdrowie; urządzenia do noszenia; analiza chodu; kliniczna analiza chodu

• Wydawca: Instytut Informatyki Uniwersytet Kazimierza Wielkiego
• Czasopismo: Studia i Materiały Informatyki Stosowanej
• Rocznik: 2018
• Tom: nr 1
• Strony: 5--8
• Opis fizyczny: Bibliogr. 27 poz.

Twórcy

autor

Mikołajewski D.

• Kazimierz Wielki University, Faculty of Math, Physics and Technology, Institute of Mechanics and Applied Computer Science, Kopernika 1, 85-064 Bydgoszcz, Poland

autor

Mikołajewska E.

• 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: [e-mail]

autor

Prokopowicz P.

• Kazimierz Wielki University, Faculty of Math, Physics and Technology, Institute of Mechanics and Applied Computer Science, Kopernika 1, 85-064 Bydgoszcz, Poland

autor

Nedashkovskyy M.

• Kazimierz Wielki University, Faculty of Math, Physics and Technology, Institute of Mechanics and Applied Computer Science, Kopernika 1, 85-064 Bydgoszcz, Poland

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