HeadUp: A Low-Cost Solution for Tracking Head Movement of Children with Cerebral Palsy Using IMU.

cerebral palsy disability head control head movement measurement health inertial measurement unit rehabilitation sensor fusion algorithm

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
06 Dec 2021
Historique:
received: 14 10 2021
revised: 02 12 2021
accepted: 02 12 2021
entrez: 10 12 2021
pubmed: 11 12 2021
medline: 15 12 2021
Statut: epublish

Résumé

Cerebral palsy (CP) is a common reason for human motor ability limitations caused before birth, through infancy or early childhood. Poor head control is one of the most important problems in children with level IV CP and level V CP, which can affect many aspects of children's lives. The current visual assessment method for measuring head control ability and cervical range of motion (CROM) lacks accuracy and reliability. In this paper, a HeadUp system that is based on a low-cost, 9-axis, inertial measurement unit (IMU) is proposed to capture and evaluate the head control ability for children with CP. The proposed system wirelessly measures CROM in frontal, sagittal, and transverse planes during ordinary life activities. The system is designed to provide real-time, bidirectional communication with an Euler-based, sensor fusion algorithm (SFA) to estimate the head orientation and its control ability tracking. The experimental results for the proposed SFA show high accuracy in noise reduction with faster system response. The system is clinically tested on five typically developing children and five children with CP (age range: 2-5 years). The proposed HeadUp system can be implemented as a head control trainer in an entertaining way to motivate the child with CP to keep their head up.

Identifiants

pubmed: 34884148
pii: s21238148
doi: 10.3390/s21238148
pmc: PMC8662411
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Sana Sabah Al-Azzawi (SS)

SRT Department, EISLAB, Luleå University of Technology, 97187 Luleå, Sweden.
College of Engineering, University of Information Technology and Communications, Baghdad 10013, Iraq.

Siavash Khaksar (S)

School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Bentley, WA 6102, Australia.

Emad Khdhair Hadi (EK)

Rehabilitation Medical Center and Joint Diseases, Baghdad 10001, Iraq.

Himanshu Agrawal (H)

School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Bentley, WA 6102, Australia.

Iain Murray (I)

School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Bentley, WA 6102, Australia.

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Classifications MeSH