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具有多种录音数据集的帕金森语音数据集

具有多种录音数据集的帕金森语音数据集

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Medical Classification

Data Set Information:PD数据库由培训和测试文件组成。培训数据属于20名PWP(6名女性,14名男性)和20名健康人(10名女性,10名......

数据结构 ? 92.1K

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Data Set Information:

    PD数据库由培训和测试文件组成。培训数据属于20名PWP(6名女性,14名男性)和20名健康人(10名女性,10名男性),他们在伊斯坦布尔大学Cerrahpasa医学院神经病学系提出上诉。对所有受试者进行多种类型的录音(26个语音样本,包括持续元音、数字、单词和短句)。从每个语音样本中提取26个线性和基于时间-频率的特征。该数据集中还提供了由专家医生确定的每位患者的UPDRS(统一帕金森病评定量表)得分。因此,该数据集也可用于回归。

    在收集由多种类型的录音组成的训练数据集并执行我们的实验后,根据获得的结果,我们继续在相同的条件下,通过同一名医生的检查过程从PWP收集一个独立的测试集。在收集该数据集的过程中,28名PD患者要求仅说出持续元音“a”和“o”三次,总共记录168次。从该数据集的语音样本中提取了相同的26个特征。该数据集可以用作独立测试集,以验证在训练集上获得的结果。


    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 (aaaa€|a€|)
    2: sustained vowel (oooa€|...)
    3: sustained vowel (uuua€|...)
    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 (aaaa€|a€|)
    4-6: sustained vowel (oooa€|a€|)


    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., Erdo??du, B., Sakar, C.O., G??m??s, E., Delil, M.S., G??rgen, F., Sertbas, A., Kursun, O.,
    Parkinson Hastal?±???±n?±n Ses Disfonilerinden Te??hisi i?§in bir Ses Veritaban?± Olusturulmas?± ve
    ?–r??nt??lerinin Kullan?±m?±, 16. Biyomedikal M??hendisli??i Ulusal Toplant?±s?± (B?°YOMUT 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.


    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,
    Cerrahpa??a Faculty of Medicine,
    Department of Neurology,
    34098, Istanbul, Turkey
    Email: sakir.delil '@' ctf.edu.tr

    8. Hulya APAYDIN, M.D., PhD.,
    Istanbul University,
    Cerrahpa??a 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

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