Data Mining Techniques in Medical Informatics

Por Acharya, U. Rajendra, Yu, Wenwei
Publicado em 2010

Visualization of Electrocardiogram and Heartrate

Por Acharya, U Rajendra, Niranjan, U.C.
Publicado em 1997

SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach

Por Mousavi, Sajad, Afghah, Fatemeh, Acharya, U. Rajendra
Publicado no PLoS One (2019)

HAN-ECG: An interpretable atrial fibrillation detection model using hierarchical attention networks

Por Mousavi, Sajad, Afghah, Fatemeh, Acharya, U. Rajendra
Publicado no Comput Biol Med (2020)

A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals

Por Yildirim, Ozal, Baloglu, Ulas Baran, Acharya, U Rajendra
Publicado no Int J Environ Res Public Health (2019)

Hypertension Diagnosis Index for Discrimination of High-Risk Hypertension ECG Signals Using Optimal Orthogonal Wavelet Filter Bank

Por Rajput, Jaypal Singh, Sharma, Manish, Acharya, U. Rajendra
Publicado no Int J Environ Res Public Health (2019)

A Review of Atrial Fibrillation Detection Methods as a Service

Por Faust, Oliver, Ciaccio, Edward J., Acharya, U. Rajendra
Publicado no Int J Environ Res Public Health (2020)

Multi modality state-of-the-art medical image segmentation and registration methodologies volume 1 /

Por El-Baz, Ayman S., Acharya U, Rajendra, Mirmehdi, Majid, Suri, Jasjit S.
Publicado em 2011

Simultaneous storage of medical images in the spatial and frequency domain: A comparative study

Por Nayak, Jagadish, Bhat, P Subbanna, Acharya U, Rajendra, UC, Niranjan
Publicado em 2004

Analysis of cardiac signals using spatial filling index and time-frequency domain

Por Faust, Oliver, Acharya U, Rajendra, Krishnan, SM, Min, Lim Choo
Publicado em 2004

COVIDiag: a clinical CAD system to diagnose COVID-19 pneumonia based on CT findings

Por Abbasian Ardakani, Ali, Acharya, U. Rajendra, Habibollahi, Sina, Mohammadi, Afshin
Publicado no Eur Radiol (2020)

ECGNET: Learning where to attend for detection of atrial fibrillation with deep visual attention

Por Mousavi, Seyed Sajad, Afghah, Fatemah, Razi, Abolfazl, Acharya, U. Rajendra
Publicado no IEEE EMBS Int Conf Biomed Health Inform (2019)

Multi modality state-of-the-art medical image segmentation and registration methodologies volume II /

Por El-Baz, Ayman S., Acharya U, Rajendra, Laine, Andrew F., Suri, Jasjit S.
Publicado em 2011

Finger Motion Classification by Forearm Skin Surface Vibration Signals

Por Yu, Wenwei, Kishi, Toshiharu, Acharya, U. Rajendra, Horiuchi, Yuse, Gonzalez, Jose
Publicado em 2010

Development of Automated Sleep Stage Classification System Using Multivariate Projection-Based Fixed Boundary Empirical Wavelet Transform and Entropy Features Extracted from Multic...

Por Tripathy, Rajesh Kumar, Ghosh, Samit Kumar, Gajbhiye, Pranjali, Acharya, U. Rajendra
Publicado no Entropy (Basel) (2020)

Advances in cardiac signal processing

Por Acharya, U. Rajendra., Suri, Jasjit., Spaan, J.A.E., Krishnan, Shankar M.
Publicado em 2007

Nonlinear analysis of EEG signals at different mental states

Por Natarajan, Kannathal, Acharya U, Rajendra, Alias, Fadhilah, Tiboleng, Thelma, Puthusserypady, Sadasivan K
Publicado em 2004

Classification of cardiac patient states using artificial neural networks

Por Kannathal, N, Acharya, U Rajendra, Lim, Choo Min, Sadasivan, PK, Krishnan, SM
Publicado em 2003

A Smart Service Platform for Cost Efficient Cardiac Health Monitoring

Por Faust, Oliver, Lei, Ningrong, Chew, Eng, Ciaccio, Edward J., Acharya, U Rajendra
Publicado no Int J Environ Res Public Health (2020)

Deep Layer Kernel Sparse Representation Network for the Detection of Heart Valve Ailments from the Time-Frequency Representation of PCG Recordings

Por Ghosh, Samit Kumar, Ponnalagu, R. N., Tripathy, R. K., Acharya, U. Rajendra
Publicado no Biomed Res Int (2020)