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pd speech features desk
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pd speech features desk
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Data file 3: pd_speech_features
Data description:
Context
This dataset is collected from UCI Machine Learning Repository through the following link: https://archive.ics.uci.edu/ml/datasets/Parkinson%27s+Disease+Classification#
Data Set Information:
The data used in this study were gathered from 188 patients with PD (107 men and 81 women) with ages ranging from 33 to 87 (65.1±10.9) at the Department of Neurology in Cerrahpaşa Faculty of Medicine, Istanbul University. The control group consists of 64 healthy individuals (23 men and 41 women) with ages varying between 41 and 82 (61.1±8.9). During the data collection process, the microphone is set to 44.1 KHz and following the physician’s examination, the sustained phonation of the vowel /a/ was collected from each subject with three repetitions.
Attribute Information:
Various speech signal processing algorithms including Time Frequency Features, Mel Frequency Cepstral Coefficients (MFCCs), Wavelet Transform based Features, Vocal Fold Features and TWQT features have been applied to the speech recordings of Parkinson's Disease (PD) patients to extract clinically useful information for PD assessment.
Citation Request:
If you use this dataset, please cite: Sakar, C.O., Serbes, G., Gunduz, A., Tunc, H.C., Nizam, H., Sakar, B.E., Tutuncu, M., Aydin, T., Isenkul, M.E. and Apaydin, H., 2018. A comparative analysis of speech signal processing algorithms for Parkinson’s disease classification and the use of the tunable Q-factor wavelet transform. Applied Soft Computing, DOI: [Web Link] https://doi.org/10.1016/j.asoc.2018.10.022
Data Set Characteristics: Multivariate Number of Instances: 756 Area: Computer Attribute Characteristics: Integer, Real Number of Attributes: 754 Date Donated: 2018-11-05 Associated Tasks: Classification Missing Values?: N/A Number of Web Hits: 34405
Columns Description:
Baseline Features: Col_3 to Col_23 Intensity Parameters: Col_24 to Col_26 Formant Frequencies: Col_27 to Col_30 Bandwidth Parameters: Col_31 to Col_34 Vocal Fold: Col_35 to Col_56 MFCC: Col_57 to Col_140 Wavelet Features: Col_141 to Col_322 TQWT Features: Col_323 to Col_754 Class: Col_755
idPerson serial number
genderPerson gender
PPEBaseline Features
DFABaseline Features
RPDEBaseline Features
numPulsesBaseline Features
numPeriodsPulsesBaseline Features
meanPeriodPulsesBaseline Features
stdDevPeriodPulsesBaseline Features
locPctJitterBaseline Features
locAbsJitter
rapJitter
ppq5Jitter
ddpJitter
locShimmer
locDbShimmer
apq3Shimmer
apq5Shimmer
apq11Shimmer
ddaShimmer
meanAutoCorrHarmonicity
meanNoiseToHarmHarmonicity
meanHarmToNoiseHarmonicity
minIntensityIntensity Parameters
maxIntensityIntensity Parameters
meanIntensityIntensity Parameters
f1Formant Frequencies
f2Formant Frequencies
f3Formant Frequencies
f4Formant Frequencies
b1Bandwidth Parameters
b2Bandwidth Parameters
b3Bandwidth Parameters
b4Bandwidth Parameters
GQ_prc5_95Vocal Fold
GQ_std_cycle_openVocal Fold
GQ_std_cycle_closedVocal Fold
GNE_meanVocal Fold
GNE_stdVocal Fold
GNE_SNR_TKEO
GNE_SNR_SEO
GNE_NSR_TKEO
GNE_NSR_SEO
VFER_mean
VFER_std
VFER_entropy
VFER_SNR_TKEO
VFER_SNR_SEO
VFER_NSR_TKEO
VFER_NSR_SEO
IMF_SNR_SEO
IMF_SNR_TKEO
IMF_SNR_entropy
IMF_NSR_SEO
IMF_NSR_TKEO
IMF_NSR_entropy
mean_Log_energyMFCC
mean_MFCC_0th_coefMFCC
mean_MFCC_1st_coefMFCC
mean_MFCC_2nd_coefMFCC
mean_MFCC_3rd_coefMFCC
mean_MFCC_4th_coef
mean_MFCC_5th_coef
mean_MFCC_6th_coef
mean_MFCC_7th_coef
mean_MFCC_8th_coef
mean_MFCC_9th_coef
mean_MFCC_10th_coef
mean_MFCC_11th_coef
mean_MFCC_12th_coef
mean_delta_log_energy
mean_0th_delta
mean_1st_delta
mean_2nd_delta
mean_3rd_delta
mean_4th_delta
mean_5th_delta
mean_6th_delta
mean_7th_delta
mean_8th_delta
mean_9th_delta
mean_10th_delta
mean_11th_delta
mean_12th_delta
mean_delta_delta_log_energy
mean_delta_delta_0th
mean_1st_delta_delta
mean_2nd_delta_delta
mean_3rd_delta_delta
mean_4th_delta_delta
mean_5th_delta_delta
mean_6th_delta_delta
mean_7th_delta_delta
mean_8th_delta_delta
mean_9th_delta_delta
mean_10th_delta_delta
mean_11th_delta_delta
mean_12th_delta_delta
std_Log_energy
std_MFCC_0th_coef