Visualisation of upper limb activity using spirals: a new approach to the assessment of daily prosthesis usage
Visualisation of upper limb activity using spirals: a new approach to the assessment of daily prosthesis usage
Background: Current outcome measures used in upper limb myoelectric prosthesis studies include clinical tests of function and self-report questionnaires on real-world prosthesis use. Research in other cohorts has questioned both the validity of self-report as an activity assessment tool and the relationship between clinical functionality and real-world upper limb activity. Previously,1 we reported the first results of monitoring upper limb prosthesis use. However, the data visualisation technique used was limited in scope. Study Design: Methodology development. Objectives: To introduce two new methods for the analysis and display of upper limb activity monitoring data and to demonstrate the potential value of the approach with example real-world data. Methods: Upper limb activity monitors, worn on each wrist, recorded data on two anatomically intact participants and two prosthesis users over 1 week. Participants also filled in a diary to record upper limb activity. Data visualisation was carried out using histograms, and Archimedean spirals to illustrate temporal patterns of upper limb activity. Results: Anatomically intact participants’ activity was largely bilateral in nature, interspersed with frequent bursts of unilateral activity of each arm. At times when the prosthesis was worn prosthesis users showed very little unilateral use of the prosthesis (≈20–40 min/week compared to ≈350 min/week unilateral activity on each arm for anatomically intact participants), with consistent bias towards the intact arm throughout. The Archimedean spiral plots illustrated participant-specific patterns of non-use in prosthesis users. Conclusion: The data visualisation techniques allow detailed and objective assessment of temporal patterns in the upper limb activity of prosthesis users. Clinical relevance: Activity monitoring offers an objective method for the assessment of upper limb prosthesis users’ (PUs) activity outside of the clinic. By plotting data using Archimedean spirals, it is possible to visualise, in detail, the temporal patterns of upper limb activity. Further work is needed to explore the relationship between traditional functional outcome measures and real-world prosthesis activity.
accelerometers, Activity monitoring, myoelectric upper Limb Prosthetics, real world usage, time series visualisation
37-44
Chadwell, Alix
c337930e-a6b5-43e3-8ca5-eed1d2d71340
Kenney, Laurence
83d42411-ccbe-4b21-828e-9abd9775e47d
Granat, Malcolm
73f58a52-fd38-4320-b749-f18d8c1d90e9
Thies, Sibylle
233b0fa4-7a7d-4081-8e5b-5cb6126a8981
Head, John
61336bc7-25a0-4a0b-ac8b-2f25e7c27405
Galpin, Adam
c3157315-5bd6-4123-9044-a379ebc7ae62
1 February 2018
Chadwell, Alix
c337930e-a6b5-43e3-8ca5-eed1d2d71340
Kenney, Laurence
83d42411-ccbe-4b21-828e-9abd9775e47d
Granat, Malcolm
73f58a52-fd38-4320-b749-f18d8c1d90e9
Thies, Sibylle
233b0fa4-7a7d-4081-8e5b-5cb6126a8981
Head, John
61336bc7-25a0-4a0b-ac8b-2f25e7c27405
Galpin, Adam
c3157315-5bd6-4123-9044-a379ebc7ae62
Chadwell, Alix, Kenney, Laurence, Granat, Malcolm, Thies, Sibylle, Head, John and Galpin, Adam
(2018)
Visualisation of upper limb activity using spirals: a new approach to the assessment of daily prosthesis usage.
Prosthetics and Orthotics International, 42 (1), .
(doi:10.1177/0309364617706751).
Abstract
Background: Current outcome measures used in upper limb myoelectric prosthesis studies include clinical tests of function and self-report questionnaires on real-world prosthesis use. Research in other cohorts has questioned both the validity of self-report as an activity assessment tool and the relationship between clinical functionality and real-world upper limb activity. Previously,1 we reported the first results of monitoring upper limb prosthesis use. However, the data visualisation technique used was limited in scope. Study Design: Methodology development. Objectives: To introduce two new methods for the analysis and display of upper limb activity monitoring data and to demonstrate the potential value of the approach with example real-world data. Methods: Upper limb activity monitors, worn on each wrist, recorded data on two anatomically intact participants and two prosthesis users over 1 week. Participants also filled in a diary to record upper limb activity. Data visualisation was carried out using histograms, and Archimedean spirals to illustrate temporal patterns of upper limb activity. Results: Anatomically intact participants’ activity was largely bilateral in nature, interspersed with frequent bursts of unilateral activity of each arm. At times when the prosthesis was worn prosthesis users showed very little unilateral use of the prosthesis (≈20–40 min/week compared to ≈350 min/week unilateral activity on each arm for anatomically intact participants), with consistent bias towards the intact arm throughout. The Archimedean spiral plots illustrated participant-specific patterns of non-use in prosthesis users. Conclusion: The data visualisation techniques allow detailed and objective assessment of temporal patterns in the upper limb activity of prosthesis users. Clinical relevance: Activity monitoring offers an objective method for the assessment of upper limb prosthesis users’ (PUs) activity outside of the clinic. By plotting data using Archimedean spirals, it is possible to visualise, in detail, the temporal patterns of upper limb activity. Further work is needed to explore the relationship between traditional functional outcome measures and real-world prosthesis activity.
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Published date: 1 February 2018
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Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship and/or publication of this article: AC is funded by the University of Salford as part of the Graduate Teaching Studentship Scheme.
Publisher Copyright:
© 2017, © The International Society for Prosthetics and Orthotics 2017.
Keywords:
accelerometers, Activity monitoring, myoelectric upper Limb Prosthetics, real world usage, time series visualisation
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Local EPrints ID: 483479
URI: http://eprints.soton.ac.uk/id/eprint/483479
ISSN: 0309-3646
PURE UUID: 8b1ad51f-7f62-4656-aaa3-7463ea410666
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Date deposited: 31 Oct 2023 18:05
Last modified: 18 Mar 2024 04:12
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Author:
Alix Chadwell
Author:
Laurence Kenney
Author:
Malcolm Granat
Author:
Sibylle Thies
Author:
John Head
Author:
Adam Galpin
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