Davood Fattahi

About Davood Fattahi

Davood Fattahi, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Shiraz University, specializes in the field of Biomedical Signal Processing, Artificial Intelligence, Deep Learning, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Epilepsy classification using artificial intelligence: A web‐based application

Noisy neonatal chest sound separation for high-quality heart and lung sounds

Cramér-Rao Lower Bounds of Model-Based Electrocardiogram Parameter Estimation

A blind filtering framework for noisy neonatal chest sounds

Real-time multi-level neonatal heart and lung sound quality assessment for telehealth applications

A new non-negative matrix co-factorisation approach for noisy neonatal chest sound separation

Neonatal heart and lung sound quality assessment for robust heart and breathing rate estimation for telehealth applications

Acoustic analysis of neonatal breath sounds using digital stethoscope technology

Davood Fattahi Information

University

Position

___

Citations(all)

127

Citations(since 2020)

107

Cited By

30

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Davood Fattahi Skills & Research Interests

Biomedical Signal Processing

Artificial Intelligence

Deep Learning

Machine Learning

Top articles of Davood Fattahi

Epilepsy classification using artificial intelligence: A web‐based application

Epilepsia Open

2023/12

Noisy neonatal chest sound separation for high-quality heart and lung sounds

IEEE journal of biomedical and health informatics

2022/10/20

Cramér-Rao Lower Bounds of Model-Based Electrocardiogram Parameter Estimation

IEEE Transactions on Signal Processing

2022/6/13

Davood Fattahi
Davood Fattahi

H-Index: 2

Reza Sameni
Reza Sameni

H-Index: 22

A blind filtering framework for noisy neonatal chest sounds

IEEE Access

2022/4/25

Real-time multi-level neonatal heart and lung sound quality assessment for telehealth applications

IEEE Access

2022/1/18

A new non-negative matrix co-factorisation approach for noisy neonatal chest sound separation

2021/11/1

Neonatal heart and lung sound quality assessment for robust heart and breathing rate estimation for telehealth applications

IEEE Journal of Biomedical and Health Informatics

2020/12/28

Acoustic analysis of neonatal breath sounds using digital stethoscope technology

Pediatric Pulmonology

2020

See List of Professors in Davood Fattahi University(Shiraz University)

Co-Authors

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