Creating a real-time movement sonification system as an upper-limb rehabilitation intervention for stroke survivors

T.H. Nown; A. Kerr; I. Andonovic; M. Grealy; C. Tachtatzis

Creating a real-time movement sonification system as an upper-limb rehabilitation intervention for stroke survivors

T.H. Nown, A. Kerr, I. Andonovic, M. Grealy, C. Tachtatzis

Research output: Contribution to conference › Poster › peer-review

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Abstract

Real-time movement sonification is currently being researched as an intervention for upper-limb rehabilitation for stroke survivors. A system using the Azure Kinect SDK has been developed to empower researchers to investigate this intervention. The submitted manuscript details the methodology of the system and presents preliminary results to an agency study establishing whether users without neurological impairment can identify their own movements through the real-time audio feedback generated.

Original language	English
Publication status	Published - 9 Sept 2022
Event	BioMedEng22 - University College London, London, United Kingdom Duration: 8 Sept 2022 → 9 Sept 2022

Conference

Conference	BioMedEng22
Country/Territory	United Kingdom
City	London
Period	8/09/22 → 9/09/22

Keywords

upper-Limb hemiparesis
stroke survivors
real-time movement sonification
upper-limb rehabilitation intervention
Azure Kinect SDK

Access to Document

Nown-etal-BioMedEng-2022-Creating-a-real-time-movement-sonification-system-as-an-upper-limb-rehabilitation-intervention-for-stroke-survivorsAccepted author manuscript, 209 KBLicence: Strath_1

Developing a Real-Time Movement Sonification System for Stroke Rehabilitation
Nown, T.
Project: Research - Studentship

Cite this

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title = "Creating a real-time movement sonification system as an upper-limb rehabilitation intervention for stroke survivors",

abstract = "Real-time movement sonification is currently being researched as an intervention for upper-limb rehabilitation for stroke survivors. A system using the Azure Kinect SDK has been developed to empower researchers to investigate this intervention. The submitted manuscript details the methodology of the system and presents preliminary results to an agency study establishing whether users without neurological impairment can identify their own movements through the real-time audio feedback generated.",

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T1 - Creating a real-time movement sonification system as an upper-limb rehabilitation intervention for stroke survivors

AU - Nown, T.H.

AU - Kerr, A.

AU - Andonovic, I.

AU - Grealy, M.

AU - Tachtatzis, C.

PY - 2022/9/9

Y1 - 2022/9/9

N2 - Real-time movement sonification is currently being researched as an intervention for upper-limb rehabilitation for stroke survivors. A system using the Azure Kinect SDK has been developed to empower researchers to investigate this intervention. The submitted manuscript details the methodology of the system and presents preliminary results to an agency study establishing whether users without neurological impairment can identify their own movements through the real-time audio feedback generated.

AB - Real-time movement sonification is currently being researched as an intervention for upper-limb rehabilitation for stroke survivors. A system using the Azure Kinect SDK has been developed to empower researchers to investigate this intervention. The submitted manuscript details the methodology of the system and presents preliminary results to an agency study establishing whether users without neurological impairment can identify their own movements through the real-time audio feedback generated.

KW - upper-Limb hemiparesis

KW - stroke survivors

KW - real-time movement sonification

KW - upper-limb rehabilitation intervention

KW - Azure Kinect SDK

M3 - Poster

T2 - BioMedEng22

Y2 - 8 September 2022 through 9 September 2022

ER -

Creating a real-time movement sonification system as an upper-limb rehabilitation intervention for stroke survivors

Abstract

Conference

Keywords

Access to Document

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Projects

Developing a Real-Time Movement Sonification System for Stroke Rehabilitation

Cite this