Characterizing the human-robot haptic dyad in robot therapy of stroke survivors. Issue 3 (5th August 2014)
- Record Type:
- Journal Article
- Title:
- Characterizing the human-robot haptic dyad in robot therapy of stroke survivors. Issue 3 (5th August 2014)
- Main Title:
- Characterizing the human-robot haptic dyad in robot therapy of stroke survivors
- Authors:
- Guilherme N. DeSouza, Dr
De Santis, Dalia
Zenzeri, Jacopo
Casadio, Maura
Masia, Lorenzo
Squeri, Valentina
Morasso, Pietro - Abstract:
- <abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – The working hypothesis, on which this paper is built, is that it is advantageous to look at protocols of robot rehabilitation in the general context of human-robot interaction in haptic dyads. The purpose of this paper is to propose a new method to detect and evaluate an index of active participation (<italic>AC</italic> index), underlying the performance of robot-assisted movements. This is important for avoiding the slacking phenomenon that affects robot therapy. </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – The evaluation of the <italic>AC</italic> index is based on a novel technique of assistance which does not use constant or elastic forces but trains of small force impulses, with amplitude adapted to the level of impairment and a frequency of 2 Hz, which is suggested by recent results in the field of intermittent motor control. A preliminary feasibility test of the proposed method was carried out during a haptic reaching task in the absence of visual feedback, for a group of five stroke patients and an equal group of healthy subjects. </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – The <italic>AC</italic> index appears to be stable and sensitive to training in both populations of subjects. </p> </sec> <sec> <title<abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – The working hypothesis, on which this paper is built, is that it is advantageous to look at protocols of robot rehabilitation in the general context of human-robot interaction in haptic dyads. The purpose of this paper is to propose a new method to detect and evaluate an index of active participation (<italic>AC</italic> index), underlying the performance of robot-assisted movements. This is important for avoiding the slacking phenomenon that affects robot therapy. </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – The evaluation of the <italic>AC</italic> index is based on a novel technique of assistance which does not use constant or elastic forces but trains of small force impulses, with amplitude adapted to the level of impairment and a frequency of 2 Hz, which is suggested by recent results in the field of intermittent motor control. A preliminary feasibility test of the proposed method was carried out during a haptic reaching task in the absence of visual feedback, for a group of five stroke patients and an equal group of healthy subjects. </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – The <italic>AC</italic> index appears to be stable and sensitive to training in both populations of subjects. </p> </sec> <sec> <title content-type="abstract-heading">Originality/value</title> <p> – The main original element of this study is the proposal of the new <italic>AC</italic> index of voluntary control associated with the new method of pulsed haptic interaction.</p> </sec> </abstract> … (more)
- Is Part Of:
- International journal of intelligent computing and cybernetics. Volume 7:Issue 3(2014)
- Journal:
- International journal of intelligent computing and cybernetics
- Issue:
- Volume 7:Issue 3(2014)
- Issue Display:
- Volume 7, Issue 3 (2014)
- Year:
- 2014
- Volume:
- 7
- Issue:
- 3
- Issue Sort Value:
- 2014-0007-0003-0000
- Page Start:
- 267
- Page End:
- 288
- Publication Date:
- 2014-08-05
- Subjects:
- Artificial intelligence -- Periodicals
Cybernetics -- Periodicals
006.3 - Journal URLs:
- http://www.emeraldinsight.com/1756-378X.htm ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/IJICC-10-2013-0046 ↗
- Languages:
- English
- ISSNs:
- 1756-378X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3599.xml