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Published in: Journal of NeuroEngineering and Rehabilitation 1/2019

Open Access 01-12-2019 | Research

Quantitative assessment of cerebellar ataxia, through automated limb functional tests

Authors: Ragil Krishna, Pubudu N. Pathirana, Malcolm Horne, Laura Power, David J. Szmulewicz

Published in: Journal of NeuroEngineering and Rehabilitation | Issue 1/2019

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Abstract

Background

Cerebellar damage can often result in disabilities affecting the peripheral regions of the body. These include poor and inaccurate coordination, tremors and irregular movements that often manifest as disorders associated with balance, gait and speech. The severity assessment of Cerebellar ataxia (CA) is determined by expert opinion and is likely to be subjective in nature. This paper investigates automated versions of three commonly used tests: Finger to Nose test (FNT), test for upper limb Dysdiadochokinesia Test (DDK) and Heel to Shin Test (HST), in evaluating disability due to CA.

Methods

Limb movements associated with these tests are measured using Inertial Measurement Units (IMU) to capture the disability. Kinematic parameters such as acceleration, velocity and angle are considered in both time and frequency domain in three orthogonal axes to obtain relevant disability related information. The collective dominance in the data distributions of the underlying features were observed though the Principal Component Analysis (PCA). The dominant features were combined to substantiate the correlation with the expert clinical assessments through Linear Discriminant Analysis. Here, the Pearson correlation is used to examine the relationship between the objective assessments and the expert clinical scores while the performance was also verified by means of cross validation.

Results

The experimental results show that acceleration is a major feature in DDK and HST, whereas rotation is the main feature responsible for classification in FNT. Combining the features enhanced the correlations in each domain. The subject data was classified based on the severity information based on expert clinical scores.

Conclusion

For the predominantly translational movement in the upper limb FNT, the rotation captures disability and for the DDK test with predominantly rotational movements, the linear acceleration captures the disability but cannot be extended to the lower limb HST. The orthogonal direction manifestation of ataxia attributed to sensory measurements was determined for each test.

Trial registration

Human Research and Ethics Committee, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia (HREC Reference Number: 11/994H/16).
Appendix
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Literature
1.
go back to reference Johansson GM, Grip H, Levin MF, Häger CK. The added value of kinematic evaluation of the timed finger-to-nose test in persons post-stroke. J Neuroengineering Rehabil. 2017; 14(1):11.CrossRef Johansson GM, Grip H, Levin MF, Häger CK. The added value of kinematic evaluation of the timed finger-to-nose test in persons post-stroke. J Neuroengineering Rehabil. 2017; 14(1):11.CrossRef
2.
go back to reference Horak FB, Dimitrova D, Nutt JG. Direction-specific postural instability in subjects with parkinson’s disease. Exp Neurol. 2005; 193(2):504–21.CrossRef Horak FB, Dimitrova D, Nutt JG. Direction-specific postural instability in subjects with parkinson’s disease. Exp Neurol. 2005; 193(2):504–21.CrossRef
3.
go back to reference Rodrigues MR, Slimovitch M, Chilingaryan G, Levin MF. Does the finger-to-nose test measure upper limb coordination in chronic stroke?J Neuroengineering Rehabil. 2017; 14(1):6.CrossRef Rodrigues MR, Slimovitch M, Chilingaryan G, Levin MF. Does the finger-to-nose test measure upper limb coordination in chronic stroke?J Neuroengineering Rehabil. 2017; 14(1):6.CrossRef
4.
go back to reference Hore J, Wild B, Diener H. Cerebellar dysmetria at the elbow, wrist, and fingers. J Neurophys. 1991; 65(3):563–71.CrossRef Hore J, Wild B, Diener H. Cerebellar dysmetria at the elbow, wrist, and fingers. J Neurophys. 1991; 65(3):563–71.CrossRef
5.
go back to reference Schmahmann JD. Disorders of the cerebellum: ataxia, dysmetria of thought, and the cerebellar cognitive affective syndrome. J Neuropsychiatry Clin Neurosci. 2004; 16(3):367–78.CrossRef Schmahmann JD. Disorders of the cerebellum: ataxia, dysmetria of thought, and the cerebellar cognitive affective syndrome. J Neuropsychiatry Clin Neurosci. 2004; 16(3):367–78.CrossRef
6.
go back to reference Feys PG, Davies-Smith A, Jones R, Romberg A, Ruutiainen J, Helsen WF, Ketelaer P. Intention tremor rated according to different finger-to-nose test protocols: a survey. Arch Phys Med Rehabil. 2003; 84(1):79–82.CrossRef Feys PG, Davies-Smith A, Jones R, Romberg A, Ruutiainen J, Helsen WF, Ketelaer P. Intention tremor rated according to different finger-to-nose test protocols: a survey. Arch Phys Med Rehabil. 2003; 84(1):79–82.CrossRef
7.
go back to reference Bastian A, Martin T, Keating J, Thach W. Cerebellar ataxia: abnormal control of interaction torques across multiple joints. J Neurophys. 1996; 76(1):492–509.CrossRef Bastian A, Martin T, Keating J, Thach W. Cerebellar ataxia: abnormal control of interaction torques across multiple joints. J Neurophys. 1996; 76(1):492–509.CrossRef
8.
go back to reference Gagnon C, Mathieu J, Desrosiers J. Standardized finger-nose test validity for coordination assessment in an ataxic disorder. Can J Neurol Sci. 2004; 31(4):484–9.CrossRef Gagnon C, Mathieu J, Desrosiers J. Standardized finger-nose test validity for coordination assessment in an ataxic disorder. Can J Neurol Sci. 2004; 31(4):484–9.CrossRef
9.
go back to reference Kornegay J. Ataxia, dysmetria, tremor. cerebellar diseases. Probl Vet Med. 1991; 3(3):409–16.PubMed Kornegay J. Ataxia, dysmetria, tremor. cerebellar diseases. Probl Vet Med. 1991; 3(3):409–16.PubMed
10.
go back to reference Obdrzálek S, Kurillo G, Ofli F, Bajcsy R, Seto E, Jimison H, et al.Accuracy and robustness of Kinect pose estimation in the context of coaching of elderly population. In: Conf Proc IEEE Eng Med Biol Soc. San Diego: 2012. p. 1188–1193. Obdrzálek S, Kurillo G, Ofli F, Bajcsy R, Seto E, Jimison H, et al.Accuracy and robustness of Kinect pose estimation in the context of coaching of elderly population. In: Conf Proc IEEE Eng Med Biol Soc. San Diego: 2012. p. 1188–1193.
11.
go back to reference Giggins OM, Sweeney KT, Caulfield B. Rehabilitation exercise assessment using inertial sensors: a cross-sectional analytical study. J Neuroengineering Rehabil. 2014; 11(1):158.CrossRef Giggins OM, Sweeney KT, Caulfield B. Rehabilitation exercise assessment using inertial sensors: a cross-sectional analytical study. J Neuroengineering Rehabil. 2014; 11(1):158.CrossRef
12.
go back to reference Katz DI. Dysdiadochokinesia In: Kreutzer JS, DeLuca J, Caplan B, editors. Encyclopedia of Clinical Neuropsychology. New York: Springer: 2011. p. 910. Katz DI. Dysdiadochokinesia In: Kreutzer JS, DeLuca J, Caplan B, editors. Encyclopedia of Clinical Neuropsychology. New York: Springer: 2011. p. 910.
13.
go back to reference Taylor PE, Almeida GJ, Kanade T, Hodgins JK. Classifying Human Motion Quality for Knee Osteoarthritis using accelerometers. In: 2010 Annual International Conference of the IEEE. Buenos Aires: Engineering in Medicine and Biology Society, EMBC: 2010. p. 339–343. Taylor PE, Almeida GJ, Kanade T, Hodgins JK. Classifying Human Motion Quality for Knee Osteoarthritis using accelerometers. In: 2010 Annual International Conference of the IEEE. Buenos Aires: Engineering in Medicine and Biology Society, EMBC: 2010. p. 339–343.
14.
go back to reference Taylor PE, Almeida GJ, Hodgins JK, Kanade T. Multi-label classification for the analysis of human motion quality. In: Conference proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference. Vol. 2012: 2012. p. 2214. Taylor PE, Almeida GJ, Hodgins JK, Kanade T. Multi-label classification for the analysis of human motion quality. In: Conference proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference. Vol. 2012: 2012. p. 2214.
15.
go back to reference Giggins OM, Sweeney KT, Caulfield B. Rehabilitation exercise assessment using inertial sensors: a cross-sectional analytical study. J Neuroeng Rehabil. 2014; 11(1):158.CrossRef Giggins OM, Sweeney KT, Caulfield B. Rehabilitation exercise assessment using inertial sensors: a cross-sectional analytical study. J Neuroeng Rehabil. 2014; 11(1):158.CrossRef
16.
go back to reference Glass GV. Primary, secondary, and meta-analysis of research. Educ Res. 1976; 5(10):3–8.CrossRef Glass GV. Primary, secondary, and meta-analysis of research. Educ Res. 1976; 5(10):3–8.CrossRef
17.
go back to reference Ekanayake SW, Morris AJ, Forrester M, Pathirana PN. Biokin: an ambulatory platform for gait kinematic and feature assessment. Healthc Technol Lett. 2015; 2(1):40–5.CrossRef Ekanayake SW, Morris AJ, Forrester M, Pathirana PN. Biokin: an ambulatory platform for gait kinematic and feature assessment. Healthc Technol Lett. 2015; 2(1):40–5.CrossRef
18.
go back to reference Iverson GL. Finger to nose test In: Kreutzer JS, DeLuca J, Caplan B, editors. Encyclopedia of Clinical Neuropsychology. New York: Springer: 2011. p. 1051. Iverson GL. Finger to nose test In: Kreutzer JS, DeLuca J, Caplan B, editors. Encyclopedia of Clinical Neuropsychology. New York: Springer: 2011. p. 1051.
19.
go back to reference Takahashi H, Ishikawa K, Tsutsumi T, Fujigasaki H, Kawata A, Okiyama R, Fujita T, Yoshizawa K, Yamaguchi S, Tomiyasu H, et al.A clinical and genetic study in a large cohort of patients with spinocerebellar ataxia type 6. J Hum Genet. 2004; 49(5):256.CrossRef Takahashi H, Ishikawa K, Tsutsumi T, Fujigasaki H, Kawata A, Okiyama R, Fujita T, Yoshizawa K, Yamaguchi S, Tomiyasu H, et al.A clinical and genetic study in a large cohort of patients with spinocerebellar ataxia type 6. J Hum Genet. 2004; 49(5):256.CrossRef
20.
go back to reference Díez LE, Bahillo A, Masegosa AD, Perallos A, Azpilicueta L, Falcone F, Astrain JJ, Villadangos J. Signal processing requirements for step detection using wrist-worn IMU. In: Electromagnetics in Advanced Applications (ICEAA), 2015 International Conference on 2015 Sep 7. IEEE: 2015. p. 1032–1035. Díez LE, Bahillo A, Masegosa AD, Perallos A, Azpilicueta L, Falcone F, Astrain JJ, Villadangos J. Signal processing requirements for step detection using wrist-worn IMU. In: Electromagnetics in Advanced Applications (ICEAA), 2015 International Conference on 2015 Sep 7. IEEE: 2015. p. 1032–1035.
21.
go back to reference Fang B, Sun F, Liu H, Guo D. Development of a Wearable Device for Motion Capturing Based on Magnetic and Inertial Measurement Units J Scientific Programming, vol. 2017, Article ID 75947632. 2017; 2017:11. Fang B, Sun F, Liu H, Guo D. Development of a Wearable Device for Motion Capturing Based on Magnetic and Inertial Measurement Units J Scientific Programming, vol. 2017, Article ID 75947632. 2017; 2017:11.
22.
go back to reference Incel OD. Analysis of movement, orientation and rotation-based sensing for phone placement recognition. Sensors. 2015; 15(10):25474–506.CrossRef Incel OD. Analysis of movement, orientation and rotation-based sensing for phone placement recognition. Sensors. 2015; 15(10):25474–506.CrossRef
23.
go back to reference Abdi H, Williams LJ. Principal component analysis. Wiley Interdiscip Rev Comput Stat. 2010; 2(4):433–59.CrossRef Abdi H, Williams LJ. Principal component analysis. Wiley Interdiscip Rev Comput Stat. 2010; 2(4):433–59.CrossRef
24.
go back to reference Hochkirchen T. Modern multivariate statistical techniques: regression, classification, and manifold learning. J R Stat Soc Ser A Stat Soc. 2010; 173(2):467.CrossRef Hochkirchen T. Modern multivariate statistical techniques: regression, classification, and manifold learning. J R Stat Soc Ser A Stat Soc. 2010; 173(2):467.CrossRef
25.
go back to reference Schmitz-Hübsch T, du Montcel ST, Baliko L, Berciano J, Boesch S, Depondt C, Giunti P, Globas C, Infante J, Kang J-S, Kremer B, Mariotti C, Melegh B, Pandolfo M, Rakowicz M, Ribai P, Rola R, Schöls L, Szymanski S, van de Warrenburg BP, Dürr A, Klockgether T. Scale for the assessment and rating of ataxia. 2006; 66(11):1717–20. https://doi.org/10.1212/01.wnl.0000219042.60538.92. Schmitz-Hübsch T, du Montcel ST, Baliko L, Berciano J, Boesch S, Depondt C, Giunti P, Globas C, Infante J, Kang J-S, Kremer B, Mariotti C, Melegh B, Pandolfo M, Rakowicz M, Ribai P, Rola R, Schöls L, Szymanski S, van de Warrenburg BP, Dürr A, Klockgether T. Scale for the assessment and rating of ataxia. 2006; 66(11):1717–20. https://​doi.​org/​10.​1212/​01.​wnl.​0000219042.​60538.​92.
26.
go back to reference López-Nava IH, Márquez-Aquino F, Munoz-Meléndez A, Carrillo-López D, Vargas-Martínez H. Automatic measurement of pronation/supination, flexion/extension and abduction/adduction motion of human limbs using wearable inertial and magnetic sensors. In: Proc. 4th Int. Conf. Global Health Challenges (IARIA): 2015. p. 55–60. López-Nava IH, Márquez-Aquino F, Munoz-Meléndez A, Carrillo-López D, Vargas-Martínez H. Automatic measurement of pronation/supination, flexion/extension and abduction/adduction motion of human limbs using wearable inertial and magnetic sensors. In: Proc. 4th Int. Conf. Global Health Challenges (IARIA): 2015. p. 55–60.
27.
go back to reference Callahan CD, Barisa MT. Traumatic brain injury: Methods for clinical and forensic neuropsychiatric assessment. J Head Trauma Rehabil. 2004; 19(3):284–5.CrossRef Callahan CD, Barisa MT. Traumatic brain injury: Methods for clinical and forensic neuropsychiatric assessment. J Head Trauma Rehabil. 2004; 19(3):284–5.CrossRef
Metadata
Title
Quantitative assessment of cerebellar ataxia, through automated limb functional tests
Authors
Ragil Krishna
Pubudu N. Pathirana
Malcolm Horne
Laura Power
David J. Szmulewicz
Publication date
01-12-2019
Publisher
BioMed Central
Published in
Journal of NeuroEngineering and Rehabilitation / Issue 1/2019
Electronic ISSN: 1743-0003
DOI
https://doi.org/10.1186/s12984-019-0490-3

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