Parkinson's Disease Rating Scale Using Synchronization Analysis of Gait Dynamics.

Analysis of gait dynamics is a noninvasive and totally painless test, and it can be an ideal method for the diagnosis of neurodegenerative diseases. In this study, based on the strength of synchronization between dynamics of strides, we have suggested a rating scale method for Parkinson's disease (P...

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Publicado en:BioMed Research International pp. 1 - 7
Autores principales: Asmarian, Naeimehossadat, Ruzitalab, Ahmad, Erjaee, Gholamhossien, Farahi, Mohammad Hadi, Asmarian, Seyyed Mojtaba
Formato: equations & formulas research tables/charts Journal Article
Publicado: Wiley-Blackwell 8/26/2021
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 8/26/2021
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1155/2021/5651519
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        atl: Parkinson's Disease Rating Scale Using Synchronization Analysis of Gait Dynamics.
      aug:
        au:
          Asmarian, Naeimehossadat
          Ruzitalab, Ahmad
          Erjaee, Gholamhossien
          Farahi, Mohammad Hadi
          Asmarian, Seyyed Mojtaba
        affil: Anesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
      sug:
        subj:
          Gait
          Clinical Assessment Tools
          Parkinson Disease Physiopathology
          Severity of Illness Evaluation
          Scales
          Human
          Adult
          Middle Age
          Aged
          Ambulatory Care Facilities
          Spearman's Rank Correlation Coefficient
          Walking
          Descriptive Statistics
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
      ab: Analysis of gait dynamics is a noninvasive and totally painless test, and it can be an ideal method for the diagnosis of neurodegenerative diseases. In this study, based on the strength of synchronization between dynamics of strides, we have suggested a rating scale method for Parkinson's disease (PD). Methods. The sample included 15 persons with PD (age: 66.8 ± 10.9 years) and 16 healthy persons (age: 39.3 ± 18.5 years) which were recruited from the Neurology Outpatient Clinic at Massachusetts General Hospital and were instructed to walk a 77 m long, straight hallway. The time interval of strides and subphases of strides were measured. Using the Hilbert transformation method, we obtained the data phase and used mean absolute error (MAE) to calculate the synchronization strength of the data phase. Results. In order to check the accuracy of our method, we measured the correlation between our numerical results (MAE) and values of the Hoehn-Yahr scale. Spearman's rank correlation coefficients (r) and the P values were calculated. MAE of left and right stride intervals (LRSI) significantly correlates with the Hoehn-Yahr scale for the subjects with PD (with r = 0.60 and P = 0.025 < 0.05). Conclusion. We have revealed that the synchronization weakness of LRSI shows the severity of PD. This method seems to be well suited as a rating scale for people with PD.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
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        Journal Article
      ougenre: Article
    language: English
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