Abstract

Every year, injuries associated with fall incidences cause lots of human suffering and assets loss for Parkinson’s disease (PD) patients. Thereinto, freezing of gait (FOG), which is one of the most common symptoms of PD, is quite responsible for most incidents. Although lots of researches have been done on characterized analysis and detection methods of FOG, large room for improvement still exists in the high accuracy and high efficiency examination of FOG. In view of the above requirements, this paper presents a template-matching-based improved subsequence Dynamic Time Warping (IsDTW) method, and experimental tests were carried out on typical open source datasets. Results show that, compared with traditional template-matching and statistical learning methods, proposed IsDTW not only embodies higher experimental accuracy (92%) but also has a significant runtime efficiency. By contrast, IsDTW is far more available in real-time practice applications.

Highlights

  • Parkinson’s disease is a kind of common neurological disorder caused by dopamine and gradually loss of function of other subcortical neurons

  • It could be clearly seen that when freezing of gait (FOG) template compares with pathological data, shown in Figure 5(a), the Dynamic Time Wrapping (DTW) path tends to be more straight and the cumulative distance is smaller

  • When FOG template compares with disease-free data, shown in Figure 5(b), the DTW path is more winding and the cumulative distance is bigger, and the detection result is non-FOG

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Summary

Introduction

Parkinson’s disease is a kind of common neurological disorder caused by dopamine and gradually loss of function of other subcortical neurons. PD usually causes the patients’ movement function disorder, starting from tremors of one side body or activity clumsy, and further involves the contralateral limb [1, 2]. FOG is a kind of typical symptom. Its typical symptoms are loss of ability to walk in a sudden feet stuckness on the ground and disability to move in a few minutes or being no longer able to move again. Fall incidence rates range from 50% to 70%. It is one of the main reasons for disability to PD patients [1]

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