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Electrophysiological and kinesiological analysis of deep tendon reflex responses, importance of angular velocity

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Abstract

Deep tendon reflexes are one of the main parameters of the neurological examination in many diseases. Reflex responses increase in upper motor neuron diseases due to a lack of suprasegmental control such as spasticity and rigidity. This information provided by the reflex response makes it an indispensable element of neurological examination. However, an important limitation is that this assessment is subjective. In this study, EMG and kinesiology measurements were recorded together during the assessment of the patellar T reflex in healthy control, spasticity, and Parkinson’s disease groups. Nine kinesiologic and three electrophysiologic features were extracted. We validated the proposed method with three healthy participants by ten repeated measurements on 6 different days and we observed that angular velocity is the most stable parameter. Clustering of different groups determined with K-clustering and artificial neural network used for classification with kinesiological and EMG inputs. Our findings show that reflex grade can be determined with high accuracy (Acc = 98.6) in a large population for both pathological and healthy groups and angular velocity is sufficient for reflex grading. Therefore, we think that our study will contribute to the literature by providing an approach with high reliability and reproducibility in the quantitative assessment of reflexes.

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Acknowledgements

We thank the patients for their cooperation. The study was supported by The Scientific and Technological Research Council of Turkey Grant (grant number: 214 S 175).

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Authors and Affiliations

  1. Department of Biophysics, Faculty of Medicine, Akdeniz University, Dumlupınar Blv. Campus, Antalya, 07070, Turkey

    Serkan Uslu

  2. Department of Electrical-Electronics and Communication Engineering, Public University of Navarra, Pamplona, Navarra, Spain

    Tunca Nüzket

  3. Department of Neurology, Faculty of Medicine, Akdeniz University, Dumlupınar Blv. Campus, Antalya, 07070, Turkey

    Mehmet Gürbüz & Hilmi Uysal

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  1. Serkan Uslu
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Uslu, S., Nüzket, T., Gürbüz, M. et al. Electrophysiological and kinesiological analysis of deep tendon reflex responses, importance of angular velocity. Med Biol Eng Comput 60, 2917–2929 (2022). https://doi.org/10.1007/s11517-022-02638-5

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