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A wearable gait analysis system using inertial sensors Part II: Evaluation in a clinical setting
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), Laboratoriet för intelligenta system.ORCID-id: 0000-0002-3495-2961
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS), Laboratoriet för intelligenta system.ORCID-id: 0000-0002-4143-2948
Center for Person-Centered Care, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Department of Orthopedics, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
2012 (Engelska)Ingår i: BIOSIGNALS 2012 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing, [S. l.]: SciTePress, 2012, s. 5-14Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The gold standard for gait analysis, in-lab 3D motion capture, is not routinely used for clinical assessment due to limitations in availability, cost and required training. Inexpensive alternatives to quantitative gait analysis are needed to increase the its adoption. Inertial sensors such as accelerometers and gyroscopes are promising tools for the development of wearable gait analysis (WGA) systems. The present study evaluates the use of a WGA system on hip-arthroplasty patients in a real clinical setting. The system provides information about gait symmetry and normality. Results show that the normality measurements are well correlated with various quantitative and qualitative measures of recovery and health status.

Ort, förlag, år, upplaga, sidor
[S. l.]: SciTePress, 2012. s. 5-14
Nyckelord [en]
gait analysis, inertial sensors, normality, symmetry
Nationell ämneskategori
Annan medicinteknik
Identifikatorer
URN: urn:nbn:se:hh:diva-17518Scopus ID: 2-s2.0-84861976917ISBN: 9789898425898 (tryckt)OAI: oai:DiVA.org:hh-17518DiVA, id: diva2:516207
Konferens
International Conference on Bio-inspired Systems and Signal Processing, BIOSIGNALS 2012, Vilamoura, Algarve, Portugal, 1-4 February, 2012
Anmärkning

Partially funded by the Promobilia Foundation.

Tillgänglig från: 2012-04-18 Skapad: 2012-04-17 Senast uppdaterad: 2017-04-21Bibliografiskt granskad
Ingår i avhandling
1. A Symbolic Approach to Human Motion Analysis Using Inertial Sensors: Framework and Gait Analysis Study
Öppna denna publikation i ny flik eller fönster >>A Symbolic Approach to Human Motion Analysis Using Inertial Sensors: Framework and Gait Analysis Study
2012 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

Motion analysis deals with determining what and how activities are being performed by a subject, through the use of sensors. The process of answering the what question is commonly known as classification, and answering the how question is here referred to as characterization. Frequently, combinations of inertial sensor such as accelerometers and gyroscopes are used for motion analysis. These sensors are cheap, small, and can easily be incorporated into wearable systems.

The overall goal of this thesis was to improve the processing of inertial sensor data for the characterization of movements. This thesis presents a framework for the development of motion analysis systems that targets movement characterization, and describes an implementation of the framework for gait analysis. One substantial aspect of the framework is symbolization, which transforms the sensor data into strings of symbols. Another aspect of the framework is the inclusion of human expert knowledge, which facilitates the connection between data and human concepts, and clarifies the analysis process to a human expert.

The proposed implementation was compared to state of practice gait analysis systems, and evaluated in a clinical environment. Results showed that expert knowledge can be successfully used to parse symbolic data and identify the different phases of gait. In addition, the symbolic representation enabled the creation of new gait symmetry and gait normality indices. The proposed symmetry index was superior to many others in detecting movement asymmetry in early-to-mid-stage Parkinson's Disease patients. Furthermore, the normality index showed potential in the assessment of patient recovery after hip-replacement surgery. In conclusion, this implementation of the gait analysis system illustrated that the framework can be used as a road map for the development of movement analysis systems.

Ort, förlag, år, upplaga, sidor
Halmstad: Halmstad University, 2012. s. 52
Serie
Halmstad University Dissertations ; 2
Nyckelord
symbolization, expert knowledge, gait analysis, inertial sensors
Nationell ämneskategori
Annan elektroteknik och elektronik
Identifikatorer
urn:nbn:se:hh:diva-17523 (URN)978-91-87045-01-1 (ISBN)
Disputation
2012-04-13, Wigforssalen, Halmstad University, Halmstad, 15:49 (Engelska)
Opponent
Handledare
Tillgänglig från: 2012-04-18 Skapad: 2012-04-17 Senast uppdaterad: 2016-03-09Bibliografiskt granskad

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