Source:
1. Olcay KURSUN, PhD.,
Istanbul University,
Department of Computer Engineering,
34320, Istanbul, Turkey
Phone: +90 (212) 473 7070 - 17827
Email: okursun '@' istanbul.edu.tr
2. Betul ERDOGDU SAKAR, PhD.,
Bahcesehir University,
Department of Software Engineering,
34381, Istanbul, Turkey
Phone: +90 (212) 381 0589
Email: betul.erdogdu '@' eng.bahcesehir.edu.tr
3. M. Erdem ISENKUL, M.S.,
Istanbul University,
Department of Computer Engineering,
34320, Istanbul, Turkey
Email: eisenkul '@' istanbul.edu.tr
4. C. Okan SAKAR, PhD.,
Bahcesehir University,
Department of Computer Engineering,
34381, Istanbul, Turkey
Phone: +90 (212) 381 0571
Email: okan.sakar '@' eng.bahcesehir.edu.tr
5. Ahmet SERTBAS, PhD,
Istanbul University,
Department of Computer Engineering,
34320, Istanbul, Turkey
Email: asertbas '@' istanbul.edu.tr
6. Fikret GURGEN, PhD.,
Bogazici University,
Department of Computer Engineering,
34342, Istanbul, Turkey
Email: gurgen '@' boun.edu.tr
7. Sakir DELIL, M.D., PhD.,
Istanbul University,
CerrahpaÅŸa Faculty of Medicine,
Department of Neurology,
34098, Istanbul, Turkey
Email: sakir.delil '@' ctf.edu.tr
8. Hulya APAYDIN, M.D., PhD.,
Istanbul University,
CerrahpaÅŸa Faculty of Medicine,
Department of Neurology,
34098, Istanbul, Turkey
Email: hulya.apaydin '@' ctf.edu.tr
Donor:
C. Okan SAKAR, PhD.,
Bahcesehir University,
Department of Computer Engineering,
34381, Istanbul, Turkey
Phone: +90 (212) 381 0571
Email: okan.sakar '@' eng.bahcesehir.edu.tr
Data Set Information:
The PD database consists of training and test files. The training data belongs to 20 PWP (6 female, 14 male) and 20 healthy individuals (10 female, 10 male) who appealed at the Department of Neurology in Cerrahpasa Faculty of Medicine, Istanbul University. From all subjects, multiple types of sound recordings (26 voice samples including sustained vowels, numbers, words and short sentences) are taken. A group of 26 linear and time–frequency based features are extracted from each voice sample. UPDRS ((Unified Parkinson’s Disease Rating Scale) score of each patient which is determined by expert physician is also available in this dataset. Therefore, this dataset can also be used for regression.
After collecting the training dataset which consists of multiple types of sound recordings and performing our experiments, in line with the obtained findings we continued collecting an independent test set from PWP via the same physician’s examination process under the same conditions. During the collection of this dataset, 28 PD patients are asked to say only the sustained vowels 'a' and 'o' three times respectively which makes a total of 168 recordings. The same 26 features are extracted from voice samples of this dataset. This dataset can be used as an independent test set to validate the results obtained on training set.
Further details are contained in the following reference -- if you use this dataset, please cite:
Erdogdu Sakar, B., Isenkul, M., Sakar, C.O., Sertbas, A., Gurgen, F., Delil, S., Apaydin, H., Kursun,
O., 'Collection and Analysis of a Parkinson Speech Dataset with Multiple Types of Sound
Recordings', IEEE Journal of Biomedical and Health Informatics, vol. 17(4), pp. 828-834, 2013
Training Data File:
Each subject has 26 voice samples including sustained vowels, numbers, words and short
sentences. The voice samples in the training data file are given in the
following order:
sample# - corresponding voice samples
1: sustained vowel (aaa……)
2: sustained vowel (ooo…...)
3: sustained vowel (uuu…...)
4-13: numbers from 1 to 10
14-17: short sentences
18-26: words
Test Data File:
28 PD patients are asked to say only the sustained vowels 'a' and 'o' three times respectively which makes a total of 168 recordings (each subject has 6 voice samples) The voice samples in the test data file are given in the following order:
sample# - corresponding voice samples
1-3: sustained vowel (aaa……)
4-6: sustained vowel (ooo……)
Attribute Information:
Training Data File:
column 1: Subject id
colum 2-27: features
features 1-5: Jitter (local),Jitter (local, absolute),Jitter (rap),Jitter (ppq5),Jitter (ddp),
features 6-11: Shimmer (local),Shimmer (local, dB),Shimmer (apq3),Shimmer (apq5), Shimmer (apq11),Shimmer (dda),
features 12-14: AC,NTH,HTN,
features 15-19: Median pitch,Mean pitch,Standard deviation,Minimum pitch,Maximum pitch,
features 20-23: Number of pulses,Number of periods,Mean period,Standard deviation of period, features 24-26: Fraction of locally unvoiced frames,Number of voice breaks,Degree of voice breaks
column 28: UPDRS
column 29: class information
Test Data File:
column 1: Subject id
colum 2-27: features
features 1-5: Jitter (local),Jitter (local, absolute),Jitter (rap),Jitter (ppq5),Jitter (ddp),
features 6-11: Shimmer (local),Shimmer (local, dB),Shimmer (apq3),Shimmer (apq5), Shimmer (apq11),Shimmer (dda),
features 12-14: AC,NTH,HTN,
features 15-19: Median pitch,Mean pitch,Standard deviation,Minimum pitch,Maximum pitch,
features 20-23: Number of pulses,Number of periods,Mean period,Standard deviation of period,
features 24-26: Fraction of locally unvoiced frames,Number of voice breaks,Degree of voice breaks
column 28: class information
Relevant Papers:
Erdogdu Sakar, B., Isenkul, M., Sakar, C.O., Sertbas, A., Gurgen, F., Delil, S., Apaydin, H., Kursun, O., 'Collection and Analysis of a Parkinson Speech Dataset with Multiple Types of Sound Recordings', IEEE Journal of Biomedical and Health Informatics, vol. 17(4), pp. 828-834, 2013.
Isenkul, M.E., Erdoğdu, B., Sakar, C.O., Gümüs, E., Delil, M.S., Gürgen, F., Sertbas, A., Kursun, O.,
Parkinson Hastalığının Ses Disfonilerinden Teşhisi için bir Ses Veritabanı Olusturulması ve
Örüntülerinin Kullanımı, 16. Biyomedikal Mühendisliği Ulusal Toplantısı (BİYOMUT 2011),
Antalya, Turkey, October, 2011.
Citation Request:
Please cite the following paper if you use this dataset:
Erdogdu Sakar, B., Isenkul, M., Sakar, C.O., Sertbas, A., Gurgen, F., Delil, S., Apaydin, H., Kursun, O., 'Collection and Analysis of a Parkinson Speech Dataset with Multiple Types of Sound Recordings', IEEE Journal of Biomedical and Health Informatics, vol. 17(4), pp. 828-834, 2013.