Ann Varghese

@aisat.ac.in

Assistant Professor, Department of Electronics and Communication Engineering
Albertian Institute of Science and Technology

Ann Varghese


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https://researchid.co/anndivya

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Signal Processing, Engineering, Multidisciplinary
3

Scopus Publications

36

Scholar Citations

3

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Temporal autoencoder architectures with attention for ECG anomaly detection
    Ann Varghese, M.S. Midhun, James Kurian
    International Journal of Business Intelligence and Data Mining, 2024
    Anomaly detection is a crucial step in any diagnostic procedure. With the advent of continuous monitoring devices, it is inevitable to use technological assistance for the same. Many methods, including autoencoders, have been proposed for anomaly detection in time series ECG data. The attention mechanism dynamically highlights the relevant portion of the input data and provides the decoder with the information from every encoder hidden state in its temporal vicinity. This work proposes a performance enhancement of autoencoders in identifying an ECG anomaly with the help of attention. A comparison of different autoencoder models, LSTM and hybrid, with and without attention to detect an anomaly, is proposed in this work. The comparison of the different models in terms of precision, recall, F1-score, false-positive rate (FPR), false-negative rate (FNR) and area under the ROC curve (AUC) are specified. The obtained results indicate that attention helps to enhance the autoencoder's performance.
  • Transformer-based temporal sequence learners for arrhythmia classification
    Ann Varghese, Suraj Kamal, James Kurian
    Medical and Biological Engineering and Computing, 2023
  • Conception and realization of an IoT-enabled deep CNN decision support system for automated arrhythmia classification
    Ann Varghese, Midhun Muraleedharan Sylaja, James Kurian
    Journal of Intelligent Systems, 2022
    Arrhythmias are irregular heartbeats that may be life-threatening. Proper monitoring and the right care at the right time are necessary to keep the heart healthy. Monitoring electrocardiogram (ECG) patterns on continuous monitoring devices is time-consuming. An intense manual inspection by caregivers is not an option. In addition, such an inspection could result in errors and inter-variability. This article proposes an automated ECG beat classification method based on deep neural networks (DNN) to aid in the detection of cardiac arrhythmias. The data collected by an Internet of Things enabled ECG monitoring device are transferred to a server. They are analysed by a deep learning model, and the results are shared with the primary caregiver. The proposed model is trained using the MIT-BIH ECG arrhythmia database to classify into four classes: normal beat (N), left bundle branch block beat (L), right bundle branch block beat (R), and premature ventricular contraction (V). The received data are sampled with an overlapping sliding window and divided into an 80:20 ratio for training and testing, with tenfold cross-validation. The proposed method achieves higher accuracy with a simple model without any preprocessing when compared with previous works. For the train and test sets, we achieved accuracy rates of 99.09 and 99.03%, respectively. A precision, recall, and F1 scores of 0.99 is obtained. The proposed model achieves its goal of developing a simple and accurate ECG monitoring system with improved performance. This simple and efficient deep learning approach for heartbeat classification could be applied in real-time telehealth monitoring systems.

RECENT SCHOLAR PUBLICATIONS

  • Consumption and Realization of Conditional Convolutional Variational Autoencoder for Robot Trajectory Learning
    JK Midhun Muraleedharan Sylaja, Ann Varghese
    International Journal of Intelligent Systems and Applications in Engineering … , 2024
    2024
  • Temporal autoencoder architectures with attention for ECG anomaly detection
    JK Ann Varghese, MS Midhun
    International Journal of Business Intelligence and Data Mining 24 (2), 146-159 , 2024
    2024
    Citations: 1
  • Transformer-based temporal sequence learners for arrhythmia classification
    A Varghese, S Kamal, DJ Kurian
    Medical & Biological Engineering & Computing , 2023
    2023
    Citations: 20
  • Conception and realization of an IoT-enabled deep CNN decision support system for automated arrhythmia classification
    A Varghese, M Muraleedharan Sylaja, DJ Kurian
    Journal of Intelligent Systems 31 (1), 407-419 , 2022
    2022
    Citations: 12
  • An Autoencoder based Unsupervised Anomaly Detection in ECG Signals
    JK Ann Varghese, Midhun M. S.
    International conference on Emerging Trends In Communication … , 2022
    2022
  • Auto Encoder Time-series Anomaly Detection Enhancement With Attention
    JK Ann Varghese, Midhun M. S.
    International Conference on Computational Intelligence and Sustainable … , 2022
    2022
  • Realization of SNMP based Robot Controller for Remote Monitoring & Control of Industrial Robotic Arm with Emulation Facility
    JK Midhun M. S., Ann Varghese
    28th Swadeshi Science Congress 2018, at CSIR-NIIST Thiruvanathapuram, Kerala … , 2018
    2018
  • Realization of a Low Cost Low Power Acoustic Modem for Underwater Sensor Nodes
    A Varghese, A George, J Kurian
    SYMPOL 2017, 149-156 , 2017
    2017
  • HARDWARE IMPLEMENTATION OF 3D DCT COMPRESSED AND DIGITALLY WATERMARKED VIDEO
    A Varghese, H Prasannan
    International Journal of Electronics and Communication Engineering … , 2014
    2014
  • Hardware Implementation of a Digital Watermarking System Using 3D DCT
    A Varghese, H Prasannan
    International Journal of Advanced Research in Electronics and Communication … , 2014
    2014
  • Hardware Implementation of a Digital Watermarking System Using 3D DCT
    HP Ann Varghese
    International Conference on Emerging Trends in Engineering & Management -2014 , 2014
    2014
  • QCA estimation of low power reversible circuits
    S Karthik, A Varghese, G Sandhya
    Quantum 3 (2), 1273-1278 , 2013
    2013
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • Transformer-based temporal sequence learners for arrhythmia classification
    A Varghese, S Kamal, DJ Kurian
    Medical & Biological Engineering & Computing , 2023
    2023
    Citations: 20
  • Conception and realization of an IoT-enabled deep CNN decision support system for automated arrhythmia classification
    A Varghese, M Muraleedharan Sylaja, DJ Kurian
    Journal of Intelligent Systems 31 (1), 407-419 , 2022
    2022
    Citations: 12
  • QCA estimation of low power reversible circuits
    S Karthik, A Varghese, G Sandhya
    Quantum 3 (2), 1273-1278 , 2013
    2013
    Citations: 3
  • Temporal autoencoder architectures with attention for ECG anomaly detection
    JK Ann Varghese, MS Midhun
    International Journal of Business Intelligence and Data Mining 24 (2), 146-159 , 2024
    2024
    Citations: 1
  • Consumption and Realization of Conditional Convolutional Variational Autoencoder for Robot Trajectory Learning
    JK Midhun Muraleedharan Sylaja, Ann Varghese
    International Journal of Intelligent Systems and Applications in Engineering … , 2024
    2024
  • An Autoencoder based Unsupervised Anomaly Detection in ECG Signals
    JK Ann Varghese, Midhun M. S.
    International conference on Emerging Trends In Communication … , 2022
    2022
  • Auto Encoder Time-series Anomaly Detection Enhancement With Attention
    JK Ann Varghese, Midhun M. S.
    International Conference on Computational Intelligence and Sustainable … , 2022
    2022
  • Realization of SNMP based Robot Controller for Remote Monitoring & Control of Industrial Robotic Arm with Emulation Facility
    JK Midhun M. S., Ann Varghese
    28th Swadeshi Science Congress 2018, at CSIR-NIIST Thiruvanathapuram, Kerala … , 2018
    2018
  • Realization of a Low Cost Low Power Acoustic Modem for Underwater Sensor Nodes
    A Varghese, A George, J Kurian
    SYMPOL 2017, 149-156 , 2017
    2017
  • HARDWARE IMPLEMENTATION OF 3D DCT COMPRESSED AND DIGITALLY WATERMARKED VIDEO
    A Varghese, H Prasannan
    International Journal of Electronics and Communication Engineering … , 2014
    2014
  • Hardware Implementation of a Digital Watermarking System Using 3D DCT
    A Varghese, H Prasannan
    International Journal of Advanced Research in Electronics and Communication … , 2014
    2014
  • Hardware Implementation of a Digital Watermarking System Using 3D DCT
    HP Ann Varghese
    International Conference on Emerging Trends in Engineering & Management -2014 , 2014
    2014