Topological nonlinear analysis proposed for neurodegenerative diseases

Neurodegenerative diseases like amyotrophic lateral sclerosis (ALS), Huntington’s illness (HD) and Parkinson’s illness (PD), are frequent progressive nervous system issues that present intricate scientific patterns.

Using fluctuations to judge the illness state is an important approach for and healthcare monitoring of neurodegenerative sufferers.

The analysis group led by Prof. FAN Jianping and Prof. WANG Lei from the Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Sciences proposed a topological analysis framework to characterize the dynamics of the gait fluctuations in several , which offered a sturdy qualitative descriptor for the neurodegenerative illness.

The proposed topological movement analysis framework was designed for the gait fluctuation time sequence analysis. The gait fluctuation time sequence had been embedded into part areas utilizing the nonlinear dynamics analysis approach, with which the corresponding level clouds had been achieved.

The level clouds had been used to carry out persistence homology constructing, i.e., topological signature extraction. The topological signatures of barcodes, persistence diagrams, and persistence landscapes had been extracted to categorise completely different gait fluctuation sorts.

Furthermore, in a complete comparability research on a number of gait fluctuations, together with stride-interval, stance-interval and swing-interval-based ones, the proposed technique was carried out on the dataset of the wholesome management group and ALS, HD and PD teams, respectively. The outcomes confirmed that it’s promising in state recognition and neurodegenerative classification.

The research demonstrated for the primary time that the topological descriptors in several gait fluctuation time sequence offered a novel perception for human gait modeling and gave proof for the potential scientific use in biomedical sign analysis.

The research is printed in IEEE Access.

Scientists propose gait-based biometric identification method for the old with wearable devices

More info:
Yan Yan et al. Classification of Neurodegenerative Diseases through Topological Motion Analysis – A Comparison Study for Multiple Gait Fluctuations, IEEE Access (2020). DOI: 10.1109/ACCESS.2020.2996667

Topological nonlinear analysis proposed for neurodegenerative diseases (2020, May 27)
retrieved 10 June 2020

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