Advanced Biomedical Evaluation System

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Advanced Biomedical Evaluation System

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Research Keyword: Ultrasound, wearable, machine learning, automatic evaluation

In this research cluster, our goal is to sense biomedical objects and areas that have been impossible to measure by traditional methods. To realize it, we apply our specialties, flexible ultrasonic sensors, high-performance electric circuits, visualization technology, and machine learning.

The sol-gel composite ultrasonic sensors developed by Dr. Tanabe and Prof. Kobayashi are flexible and extremely thinner than conventional ultrasonic sensors, and it could be an effective patch type sensor. Dr. Yamakawa is developing electronic circuit devices that enables it to transfer echo signals to an analysis computer wirelessly.

In our team, we are developing patch-type wireless ultrasonic sensors. In our goal, the measurement results will be automatically classified into three cardiac abnormalities: coronary artery disease (CAD), myocardial infarction (MI), and congestive heart failure (CHF), by machine learning by Dr. Acharya and Mr. Oh, Ngee Ann Polytechnic, Singapore, with advice from MD Tan, National Heart Centre Singapore, Singapore.

Cluster members

Coordinator

Makiko KOBAYASHI Website

Professor, Faculty of Advanced Science and Technology, Kumamoto University

Japan
Toshitaka YAMAKAWA Website

Afiliate Researcher, Faculty of Advanced Science and Technology, Nara Institute of Science and Technology (NAIST)

Japan
Masayuki TANABE Website

Assistant Professor, Faculty of Advanced Science and Technology, Kumamoto University

Japan
U Rajendra ACHARYA Website

Professor (Artificial Intelligence in Healthcare), University of Southern Queensland, Physics and Computing/IROAST Distinguished Professor

Australia
Prabal Datta BARUA Website

Adjunct Professor, University of Southern Queensland/ Ph. D Student, Graduate School of Science and Technology, Kumamoto University

Australia/Japan
Oliver FAUST

Associate Professor, Faculty of Science and Engineering, Anglia Ruskin University

UK
Ru San TAN Website

Senior Consultant, National Heart Centre

Singapore

Achievements

Publications

Mehmet Erten, Emrah Aydemir, Prabal Datta Barua, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Ru-San Tan, Abdul Hafeez-Baig, U. Rajendra Acharya, "Novel tiny textural motif pattern-based RNA virus protein sequence classification model," Expert Systems with Applications 242, 122781, 2024
https://doi.org/10.1016/j.eswa.2023.122781

Kilic, Mehmet; Barua, Prabal Datta; Keles, Tugce; Yildiz, Arif Metehan; Tuncer, Ilknur; Dogan, Sengul; Baygin, Mehmet; Tuncer, Turker; Kuluozturk, Mutlu; Tan, Ru-San; Acharya, U. Rajendra, "GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds," Engineering Applications of Artificial Intelligence, 127, Part A, 107184, 2024
https://doi.org/10.1016/j.engappai.2023.107184

Shuting Xu, Ravinesh C Deo, Jeffrey Soar, Prabal Datta Barua, Oliver Faust, Nusrat Homaira, Adam Jaffe, Arm Luthful Kabir, U Rajendra Acharya, "Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022)," Computer Methods and Programs in Biomedicine, 241, 107746, 2023
https://doi.org/10.1016/j.cmpb.2023.107746

Mahesh Anil Inamdar; U. Raghavendra; Anjan Gudigar;Sarvesh Bhandary; Massimo Salvi; Ravinesh C. Deo; Prabal Datta Barua; Edward J. Ciaccio; Filippo Molinari; U. Rajendra Acharya, "A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images, " IEEE Access 11, 108982-108994 (2023)
https://doi.org/10.1109/ACCESS.2023.3321273

Arif Metehan Yildiz, Masayuki Tanabe, Makiko Kobayashi, Ilknur Tuncer, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Ru San Tan, U. Rajendra Acharya, "FF-BTP Model for Novel Sound-Based Community Emotion Detection," IEEE Access 11, 108705-108715 (2023)
https://doi.org/10.1109/ACCESS.2023.3318751

Prabal Datta Barua, Makiko Kobayashi, Masayuki Tanabe, Mehmet Baygin, Jose Kunnel Paul, Thomas Iype, Sengul Dogan, Turker Tuncer, Ru San Tan, U. Rajendra Acharya, "Innovative Fibromyalgia Detection Approach Based on Quantum-Inspired 3LBP Feature Extractor Using ECG Signal," IEEE Access 11, 101359-101372 (2023)
https://doi.org/10.1109/ACCESS.2023.3315149

Amanpreet Singh, Ali Abbasian Ardakani, Hui Wen Loh, P. V. Anamika, U. Rajendra Acharya, Sidharth Kamath, Anil K. Bhat, "Automated detection of scaphoid fractures using deep neural networks in radiographs," Engineering Applications of Artificial Intelligence, 122, 106165, 2023
https://doi.org/10.1016/j.engappai.2023.106165

U. Raghavendra, Anjan Gudigar, Yashas Chakole, Praneet Kasula, D. P. Subha, Nahrizul Adib Kadri, Edward J. Ciaccio, U. Rajendra Acharya, "Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals," Expert Systems, 40 (4), e12803 (2023)
https://doi.org/10.1111/exsy.12803

Smith K Khare, Varun Bajaj and U Rajendra Acharya, "SchizoNET: a robust and accurate Margenau–Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals," Physiological Measurement, 44, 3, 035005 (2023)
https://doi.org/10.1088/1361-6579/acbc06

Smith K Khare, U Rajendra Acharya, "An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals," Computers in Biology and Medicine, 155, 106676 (2023)
https://doi.org/10.1016/j.compbiomed.2023.106676

Raghavendra, U.; Gudigar, Anjan; Paul, Aritra; Goutham, T. S.; Inamdar, Mahesh Anil; Hegde, Ajay; Devi, Aruna; Ooi, Chui Ping; Deo, Ravinesh C.; Barua, Prabal Datta; Molinari, Filippo; Ciaccio, Edward J.; Acharya, U. Rajendra, "Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives," Computers in Biology and Medicine 163, 107063, 2023
https://doi.org/10.1016/j.compbiomed.2023.107063

Mohan, Neethu; Kumar, S. Sachin; Soman, K. P.; Sujadevi, V. G.; Poornachandran, Prabaharan; Acharya, U. Rajendra, "A Data-Driven Hybrid Methodology Using Randomized Low-Rank DMD Approximation and Flat-Top FIR Filter for Voltage Fluctuations Monitoring in Grid-Connected Distributed Generation Systems," IEEE Access, 11, 39228-39242, 2023

https://doi.org/10.1109/ACCESS.2023.3267125

Jahmunah, V.; Ng, E. Y. K.; Tan, Ru-San; Oh, Shu Lih; Acharya, U. Rajendra, "Uncertainty quantification in DenseNet model using myocardial infarction ECG signals," Computer Methods and Programs in Biomedicine, 229, 107308, 2023

https://doi.org/10.1016/j.cmpb.2022.107308

Jahmunah, V.; Chen, Sylvia; Oh, Shu Lih; Acharya, U. Rajendra; Chowbay, Balram, "Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural network," Computers in Biology and Medicine 153, 106548, 2023

https://doi.org/10.1016/j.compbiomed.2023.106548

Oztekin, Faruk; Katar, Oguzhan; Sadak, Ferhat; Yildirim, Muhammed; Cakar, Hakan; Aydogan, Murat; Ozpolat, Zeynep; Yildirim, Tuba Talo; Yildirim, Ozal; Faust, Oliver; Acharya, U. Rajendra, "An Explainable Deep Learning Model to Prediction Dental Caries Using Panoramic Radiograph Images," Diagnostics, 13 (2), 226, 2023

https://doi.org/10.3390/diagnostics13020226

Masayuki Tanabe, Kosuke Sato, Toru Uda and Makiko Kobayashi, “Thin, flexible, and biocompatible medical ultrasound array transducer using a sol–gel composite spray technique”, Jpn. J. Appl. Phys. 62, SJ1034, 2023
https://doi.org/10.35848/1347-4065/acbc27

Ankit A. Bhurane, U. Rajendra Acharya, “An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet‐based entropy features,” Expert Systems, e12939, (Early View) .

Anjan Gudigar, U. Raghavendra, Tejaswi N. Rao, Jyothi Samanth, Venkatesan Rajinikanth, Suresh Chandra Satapathy, Edward J. Ciaccio, Chan Wai Yee, Rajendra Acharya, "FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas," International Journal of Imaging Systems and Technology, 33(2), 483-494, 2023

Jahmunah, Joel En Wei Koh, Vidya K. Sudarshan, U. Raghavendra, Anjan Gudigar, Shu Lih Oh, Hui Wen Loh, Oliver Faust, Prabal Datta Barua, Edward J Ciaccio, U. Rajendra Acharya,"Endoscopy, video capsule endoscopy, and biopsy for automated celiac disease detection: A review," Biocybernetics and Biomedical Engineering, 43, 1, 82-108, 2023.

Hui Wen Loh, Chui Ping Ooi, Silvia Seoni, Prabal Datta Barua, Filippo Molinari, U Rajendra Acharya, "Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)," Computer Methods Programs in Biomedicine, 226, 2022, 107161.

Hui Wen Loh, Shuting Xu, Oliver Faust, Chui Ping Ooi, Prabal Datta Barua, Subrata Chakraborty, Ru-San Tan, Filippo Molinari, U Rajendra Acharya, "Application of photoplethysmography signals for healthcare systems: An in-depth review," Computer Methods Programs in Biomedicine, 216, 2022, 106677.

Hui Wen Loh, Chui Ping Ooi, Prabal Datta Barua, Palmer, Elizabeth Emma, Filippo Molinari, U Rajendra Acharya, "Automated detection of ADHD: Current trends and future perspective," Computers in Biology and Medicine, 146, 2022, 105525.

Vidya K. Sudarshan, U. Raghavendra, Anjan Gudigar, Edward J.Ciaccio, Anushya Vijayananthan, Ramesh Sahathevan, U Rajendra Acharya, "Assessment of CT for the categorization of hemorrhagic stroke (HS) and cerebral amyloid angiopathy hemorrhage (CAAH): A review," Biocybernetics and Biomedical Engineering, 42 (3), 2022, 888-901.

Anjan Gudigar, Raghavendra U, Jyothi Samanth, Akhila Vasudeva, Ashwal A. J., Krishnananda Nayak, Ru-San Tan, Edward J. Ciaccio, Chui Ping Ooi, Prabal Datta Barua, Filippo Molinari, Rajendra Acharya, "Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding," Informatics, 2022, 9(2), 34

Anjan Gudigar, U Raghavendra, Jyothi Samanth, Chinmay Dharmik, Mokshagna Rohit Gangavarapu, Krishnananda Nayak, Edward J Ciaccio, Ru-San Tan, Filippo Molinari, U Rajendra Acharya, "Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern Techniques," J Imaging, 2022 ;8(4):102.

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