Minsk2020_ALS_database

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Minsk2020_ALS_database

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Classification of ALS patients based on acoustic analysis of sustained vowel phonations

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# Voice database used in the article [Classification of ALS patients based on acoustic analysis of sustained vowel phonations](https://www.sciencedirect.com/science/article/abs/pii/S1746809420304614)

## Cite
Vashkevich M., Rushkevich Yu. *Classification of ALS patients based on acoustic analysis of sustained vowel phonations*, Biomedical Signal Processing and Control, 2021, vol. 65., article 102350, pp. 1-14.
[https://doi.org/10.1016/j.bspc.2020.102350](https://doi.org/10.1016/j.bspc.2020.102350)

## Database
Voice database was collected in Republican Research and Clinical Center of Neurology and Neurosurgery (Minsk, Belarus). It consists of 128 sustained vowel phonations (64 of vowel /a/ and 64 of vowel /i/) from 64 speakers, 31 of which were diagnosed with ALS. Each speaker was asked to produce sustained phonation of vowels /a/ and /i/ at a comfortable pitch and loudness as constant and long as possible. It can be seen that voice database is almost balanced and contains 48\% of pathological voices and 52\% of healthy voices.

The age of the 17 male patients ranges from 40 to 69 (mean 61.1 ± 7.7) and the age of the 14 female patients ranges from 39 to 70 (mean 57.3 ± 7.8). For the case of healthy controls (HC), the age of the 13 men ranges from 34 to 80 (mean 50.2 ± 13.8) and the age of the 20 females ranges from 37 to 68 (mean 56.1 ± 9.7). The samples were recorded at 44.1 kHz using different smartphones with a regular headsets and stored as 16 bit uncompressed PCM files. Average duration of the records in the HC group was 3.7 ± 1.5 s, and in ALS group 4.1 ± 2.0 s. The detailed information about ALS patients is presented in the [article](https://arxiv.org/abs/2012.07347).

## Voice features (Minsk 2020 ALS dataset)
The ```Minsk2020_ALS_dataset.csv``` file contains the values of 131 voice features of vowels /a/ and /i/ that were used in the work *Classification of ALS patients based on acoustic analysis of sustained vowel phonations*.

Minsk2020_ALS_database

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