TY - JOUR
T1 - Motor subtypes of Parkinson’s disease can be identified by frequency component of postural stability
AU - Rezvanian, Saba
AU - Lockhart, Thurmon
AU - Frames, Christopher
AU - Soangra, Rahul
AU - Lieberman, Abraham
N1 - Funding Information:
Acknowledgments: This research was supported by the NSF-Information and Intelligent Systems (IIS) and Smart and Connected Health (1065442, and 1547466, and secondary 1065262).
Funding Information:
This research was supported by the NSF-Information and Intelligent Systems (IIS) and Smart and Connected Health (1065442, and 1547466, and secondary 1065262).
Publisher Copyright:
© 2018 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2018/4/5
Y1 - 2018/4/5
N2 - Parkinson’s disease (PD) can be divided into two subtypes based on clinical features—namely tremor dominant (TD) and postural instability and gait difficulty (PIGD). This categorization is important at the early stage of PD, since identifying the subtypes can help to predict the clinical progression of the disease. Accordingly, correctly diagnosing subtypes is critical in initiating appropriate early interventions and tracking the progression of the disease. However, as the disease progresses, it becomes increasingly difficult to further distinguish those attributes that are relevant to the subtypes. In this study, we investigated whether a method using the standing center of pressure (COP) time series data can separate two subtypes of PD by looking at the frequency component of COP (i.e., COP position and speed). Thirty-six participants diagnosed with PD were evaluated, with their bare feet on the force platform, and were instructed to stand upright with their arms by their sides for 20 s (with their eyes open and closed), which is consistent with the traditional COP measures. Fast Fourier transform (FFT) and wavelet transform (WT) were performed to distinguish between the motor subtypes using the COP measures. The TD group exhibited larger amplitudes at the frequency range of 3-7 Hz when compared to the PIGD group. Both the FFT and WT methods were able to differentiate the subtypes. COP time series information can be used to differentiate between the two motor subtypes of PD, using the frequency component of postural stability.
AB - Parkinson’s disease (PD) can be divided into two subtypes based on clinical features—namely tremor dominant (TD) and postural instability and gait difficulty (PIGD). This categorization is important at the early stage of PD, since identifying the subtypes can help to predict the clinical progression of the disease. Accordingly, correctly diagnosing subtypes is critical in initiating appropriate early interventions and tracking the progression of the disease. However, as the disease progresses, it becomes increasingly difficult to further distinguish those attributes that are relevant to the subtypes. In this study, we investigated whether a method using the standing center of pressure (COP) time series data can separate two subtypes of PD by looking at the frequency component of COP (i.e., COP position and speed). Thirty-six participants diagnosed with PD were evaluated, with their bare feet on the force platform, and were instructed to stand upright with their arms by their sides for 20 s (with their eyes open and closed), which is consistent with the traditional COP measures. Fast Fourier transform (FFT) and wavelet transform (WT) were performed to distinguish between the motor subtypes using the COP measures. The TD group exhibited larger amplitudes at the frequency range of 3-7 Hz when compared to the PIGD group. Both the FFT and WT methods were able to differentiate the subtypes. COP time series information can be used to differentiate between the two motor subtypes of PD, using the frequency component of postural stability.
KW - Center of pressure (COP)
KW - Fast Fourier transform (FFT)
KW - Parkinson’s disease (PD)
KW - Postural instability and gait difficulty (PIGD)
KW - Tremor dominant (TD)
KW - Wavelet transform (WT)
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U2 - 10.3390/s18041102
DO - 10.3390/s18041102
M3 - Article
C2 - 29621157
AN - SCOPUS:85045124845
SN - 1424-8220
VL - 18
JO - Sensors (Switzerland)
JF - Sensors (Switzerland)
IS - 4
M1 - 1102
ER -