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Methods for clinical evaluation

Methods for clinical evaluation
Methods for clinical evaluation
This chapter begins with an introduction to the challenges of measurement in upper limb prosthetics. This is followed by an overview of the traditional approaches to evaluation and their strengths and weaknesses. By traditional approaches, we mean tests involving observation of a participant performing a structured activity or reporting on their everyday experiences and behaviours through questionnaires. These approaches generally involve little, if any, instrumentation and are still widely used. In the next section, we report on the evaluation tools which have emerged from studies of human motor control; these include observation of the kinematics during the performance of tasks and measures which may reflect attentional demands, such as gaze behaviours and brain activity. As the so-called conventional methods and the human-motor-control-based methods either observe behaviours over a short period of time or ask people to accurately recall and report on their behaviours, both have inherent limitations. Finally, we report on methods which can be used to capture, in detail, the everyday upper limb behaviours of people in the real world and discuss the opportunities such real-world approaches open up around data analysis at scale. Chapter Contents: • 3.1 Measurement issues in upper limb prosthetics • 3.2 Traditional methods • 3.2.1 Questionnaires - participation domain • 3.2.2 Observational measures - activity domain • 3.2.2.1 Assessment of Capacity of Myoelectric Control • 3.2.3 Time-based outcome measures - activity domain • 3.2.3.1 The Southampton Hand Assessment Procedure • 3.2.4 Clinic-based activities • 3.2.4.1 Box and blocks • 3.2.4.2 Clothespin Relocation Task • 3.2.4.3 Activities measure for upper limb amputees • 3.3 Laboratory-based techniques • 3.3.1 Gaze behaviour • 3.3.2 Kinematics • 3.3.2.1 Measurement techniques • 3.3.2.2 Goal-directed movement in anatomically intact participants • 3.3.2.3 Kinematics of goal-directed movement in prosthesis users • 3.3.2.4 Motion capture combined with existing tests • 3.3.2.5 Kinematic variability • 3.3.2.6 Workspace • 3.3.2.7 Other approaches (gesture intensity/frequency) • 3.3.3 Eye-tracking and EEG • 3.3.4 Discussion • 3.4 Real-world techniques • 3.4.1 Real-world monitoring • 3.4.2 Real-world assessment of upper limb activity • 3.4.2.1 Non-wear algorithms • 3.4.2.2 Metrics to capture prosthesis use • 3.4.3 Discussion • 3.5 Data science, big data, standards and the future • 3.5.1 Small-scale, short-term studies • 3.5.2 Study bias • 3.5.3 Absence of useful data on prostheses characteristics and lack of standardisation on participant characteristics • 3.5.4 Limited adoption of standard approaches to measuring outcomes • 3.5.5 Data science and big data • 3.6 Discussion and conclusions • Acknowledgements • References.
Brain, Brain activity, Clinical evaluation, Gaze behaviours, Human-motor-control-based methods, Kinematics, Medical control systems, Neurophysiology, Prosthetics, Structured activity, Upper limb prosthetics
29-67
Institution of Engineering and Technology
Kenney, Laurence
83d42411-ccbe-4b21-828e-9abd9775e47d
Kyberd, Peter
60969010-5eba-4a62-b2a3-6d49f12dcce1
Galpin, Adam
c3157315-5bd6-4123-9044-a379ebc7ae62
Chadwell, Alix
c337930e-a6b5-43e3-8ca5-eed1d2d71340
Granat, Malcolm
3d852403-ebcf-4ce6-bf11-9c2ec0461a7e
Thies, Sibylle
233b0fa4-7a7d-4081-8e5b-5cb6126a8981
Head, John
cf34a318-8e41-41c4-af54-b3d970dfd24f
Nazarpour, Kianoush
Kenney, Laurence
83d42411-ccbe-4b21-828e-9abd9775e47d
Kyberd, Peter
60969010-5eba-4a62-b2a3-6d49f12dcce1
Galpin, Adam
c3157315-5bd6-4123-9044-a379ebc7ae62
Chadwell, Alix
c337930e-a6b5-43e3-8ca5-eed1d2d71340
Granat, Malcolm
3d852403-ebcf-4ce6-bf11-9c2ec0461a7e
Thies, Sibylle
233b0fa4-7a7d-4081-8e5b-5cb6126a8981
Head, John
cf34a318-8e41-41c4-af54-b3d970dfd24f
Nazarpour, Kianoush

Kenney, Laurence, Kyberd, Peter, Galpin, Adam, Chadwell, Alix, Granat, Malcolm, Thies, Sibylle and Head, John (2021) Methods for clinical evaluation. In, Nazarpour, Kianoush (ed.) Control of Prosthetic Hands: Challenges and Emerging Avenues. Institution of Engineering and Technology, pp. 29-67. (doi:10.1049/PBHE022E_ch3).

Record type: Book Section

Abstract

This chapter begins with an introduction to the challenges of measurement in upper limb prosthetics. This is followed by an overview of the traditional approaches to evaluation and their strengths and weaknesses. By traditional approaches, we mean tests involving observation of a participant performing a structured activity or reporting on their everyday experiences and behaviours through questionnaires. These approaches generally involve little, if any, instrumentation and are still widely used. In the next section, we report on the evaluation tools which have emerged from studies of human motor control; these include observation of the kinematics during the performance of tasks and measures which may reflect attentional demands, such as gaze behaviours and brain activity. As the so-called conventional methods and the human-motor-control-based methods either observe behaviours over a short period of time or ask people to accurately recall and report on their behaviours, both have inherent limitations. Finally, we report on methods which can be used to capture, in detail, the everyday upper limb behaviours of people in the real world and discuss the opportunities such real-world approaches open up around data analysis at scale. Chapter Contents: • 3.1 Measurement issues in upper limb prosthetics • 3.2 Traditional methods • 3.2.1 Questionnaires - participation domain • 3.2.2 Observational measures - activity domain • 3.2.2.1 Assessment of Capacity of Myoelectric Control • 3.2.3 Time-based outcome measures - activity domain • 3.2.3.1 The Southampton Hand Assessment Procedure • 3.2.4 Clinic-based activities • 3.2.4.1 Box and blocks • 3.2.4.2 Clothespin Relocation Task • 3.2.4.3 Activities measure for upper limb amputees • 3.3 Laboratory-based techniques • 3.3.1 Gaze behaviour • 3.3.2 Kinematics • 3.3.2.1 Measurement techniques • 3.3.2.2 Goal-directed movement in anatomically intact participants • 3.3.2.3 Kinematics of goal-directed movement in prosthesis users • 3.3.2.4 Motion capture combined with existing tests • 3.3.2.5 Kinematic variability • 3.3.2.6 Workspace • 3.3.2.7 Other approaches (gesture intensity/frequency) • 3.3.3 Eye-tracking and EEG • 3.3.4 Discussion • 3.4 Real-world techniques • 3.4.1 Real-world monitoring • 3.4.2 Real-world assessment of upper limb activity • 3.4.2.1 Non-wear algorithms • 3.4.2.2 Metrics to capture prosthesis use • 3.4.3 Discussion • 3.5 Data science, big data, standards and the future • 3.5.1 Small-scale, short-term studies • 3.5.2 Study bias • 3.5.3 Absence of useful data on prostheses characteristics and lack of standardisation on participant characteristics • 3.5.4 Limited adoption of standard approaches to measuring outcomes • 3.5.5 Data science and big data • 3.6 Discussion and conclusions • Acknowledgements • References.

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More information

Published date: December 2021
Keywords: Brain, Brain activity, Clinical evaluation, Gaze behaviours, Human-motor-control-based methods, Kinematics, Medical control systems, Neurophysiology, Prosthetics, Structured activity, Upper limb prosthetics

Identifiers

Local EPrints ID: 484404
URI: http://eprints.soton.ac.uk/id/eprint/484404
PURE UUID: f5d91621-3b83-485a-a6cd-0f4ae6c9cedd
ORCID for Alix Chadwell: ORCID iD orcid.org/0000-0002-9101-5202

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Date deposited: 16 Nov 2023 11:51
Last modified: 06 Jun 2024 02:18

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Contributors

Author: Laurence Kenney
Author: Peter Kyberd
Author: Adam Galpin
Author: Alix Chadwell ORCID iD
Author: Malcolm Granat
Author: Sibylle Thies
Author: John Head
Editor: Kianoush Nazarpour

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