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Identification of nonlinear feedback mechanisms operating in closed loop using inertial sensors
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.ORCID iD: 0000-0001-8185-3117
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
2018 (English)Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2018.
Series
IFAC-PapersOnLine, ISSN 2405-8963 ; 51:
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:uu:diva-350607OAI: oai:DiVA.org:uu-350607DiVA, id: diva2:1205561
Conference
SYSID 2018, July 9–11, Stockholm, Sweden
Available from: 2018-05-14 Created: 2018-05-14 Last updated: 2018-05-14Bibliographically approved
In thesis
1. Modeling and assessment of human balance and movement disorders using inertial sensors
Open this publication in new window or tab >>Modeling and assessment of human balance and movement disorders using inertial sensors
2018 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Inertial sensors and magnetometers are abundant in today's society, where they can be found in many of our everyday electronic devices, such as smart phones or smart watches. Their primary function is to measure the movement and orientation of the device and provide this information for the apps that request it.

This licenciate thesis explores the use of these types of sensors in biomedical applications. Specifically, how these sensors can be used to analyze human movement and work as a tool for assessment of human balance and movement disorders. The methods presented in this thesis deal with mathematical modeling of the sensors, their relationship to the biomechanical models that are used to describe the dynamics of human movement and how we can combine these models to describe the mechanisms behind human balance and quantify the symptoms of movement disorders.

The main contributions come in the form of four papers. A practical calibration method for accelerometers is presented in Paper I, that deals with compensation of intrinsic sensor errors that are common for relatively cheap sensors that are used in e.g. smart phones. In Paper II we present an experimental evaluation and minor extension of methods that are used to determine the position of the joints in the biomecanical model, using inertial sensor data alone. Paper III deals with system identification of nonlinear controllers operating in closed loop, which is a method that can be used to model the neuromuscular control mechanisms behind human balance. In Paper IV we propose a novel method for quantification of hand tremor, a primary symptom of neurological disorders such as Parkinson's disease (PD) or Essential tremor (ET), where we make use of data collected from sensors in a smart phone. The thesis also contains an introduction to the sensors, biomechanical modeling, neuromuscular control and the various estimation and modeling techniques that are used throughout the thesis.

Place, publisher, year, edition, pages
Uppsala University, 2018
Series
Information technology licentiate theses: Licentiate theses from the Department of Information Technology, ISSN 1404-5117 ; 2018-003
National Category
Control Engineering
Research subject
Electrical Engineering with specialization in Automatic Control
Identifiers
urn:nbn:se:uu:diva-350635 (URN)
Supervisors
Available from: 2018-05-04 Created: 2018-05-14 Last updated: 2018-05-14Bibliographically approved

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Olsson, FredrikHalvorsen, KjartanZachariah, DaveMattsson, Per

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