RESEARCH

Research Units

Advanced Biomedical Evaluation System

In this research unit, our goal is to sense objects and areas that have been impossible to measure until now. To realize it, we bring knowledge and technology about flexible ultrasonic sensors, high-performance electric circuits, visualization technology, and machine learning.

The sol-gel composite spray ultrasonic piezoelectric transducer developed by Tanabe and Kobayashi is flexible and extremely thinner than conventional piezoelectric sensors, making it an effective patch type sensor. Yamakawa is developing electronic circuit devices that transmit and receive ultrasonic pulses and circuits that wirelessly transfer echo signals to an analysis computer.

In our team unit, we are developing a patch-type wireless ultrasonic sensor and ultrasound and ECG signals are used and 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.

Unit members

  • Japan
    Unit Coordinator
    Makiko KOBAYASHI Website
    Professor, Faculty of Advanced Science and Technology, Kumamoto University
    Japan
  • Japan
    Toshitaka YAMAKAWA Website
    Associate Professor, Faculty of Advanced Science and Technology, Kumamoto University
    Japan
  • Japan
    Masayuki TANABE Website
    Assistant Professor, Faculty of Advanced Science and Technology, Kumamoto University
    Japan
  • Singapore
    Rajendra Udyavara ACHARYA Website
    Senior Research Fellow, Ngee Ann Polytechnic/IROAST Distinguished Professor
    Singapore
  • Singapore
    Shu Lih OH Website
    R&D Project Engineer, Ngee Ann Polytechnic
    Singapore
  • Singapore
    Ru San TAN Website
    Senior Consultant, National Heart Centre
    Singapore

Achievements

Publications

LiNbO3-based sol-gel composite ultrasonic transducer poled at low temperatures
Naoki Kambayashi, Naoki Zaito, Hiroaki Akatsuka, Makiko Kobayashi
Jpn. J. Appl. Phys., Feb. 2022 (accepted)

Real-Time Physiological Monitoring for Management of Normobaric Hypoxic Training Toward Wearable System Implementation
Kazuki Hisatsune, Toshitaka Yamakawa
Journal of Digital Life 1(2), Feb. 2022.

Heart Rate Variability Indices May Change Accompanying Cognitive Skills Improvement in eSports Tasks
Kazuki Hisatsune, Toshihide Otsuki, Goichi Hagiwara, Hirohisa Isogai, Toshitaka Yamakawa
Journal of Digital Life 1(4), Feb. 2022.

A Pilot Study of the Effects of Human Intervention on Canine Group Movement Behavior
Miho Nagasawa, Satomi Kuramochi, Azumi Hamamoto, Toshitaka Yamakawa, Takefumi Kikusui
Journal of Robotics and Mechatronics 33(3) 572-581, Jun. 2021.

Development of Game-Like System Using Active Behavior Input for Wakefulness-Keeping Support in Driving
Tatsuro Ibe, Koichi Fujiwara, Toshihiro Hiraoka, Erika Abe, Toshitaka Yamakawa
IEEE Transactions on Intelligent Vehicles 6(2) 323-332, Jun. 2021.

Sympathetic hyperactivity, hypertension, and tachycardia induced by stimulation of the ponto-medullary junction in humans.
Tadashi Hamasaki, Toshitaka Yamakawa, Koichi Fujiwara, Haruki Harashima, Kota Nakamura, Yoshihiro Ikuta, Tatsuo Yamamoto, Yu Hasegawa, Tatsuya Takezaki, Akitake Mukasa
Clinical neurophysiology: official journal of the International Federation of Clinical Neurophysiology 132(6) 1264-1273, Jun. 2021.

CGP17Pat: Automated Schizophrenia Detection Based on a Cyclic Group of Prime Order Patterns Using EEG Signals
E Aydemir, S Dogan, M Baygin, CP Ooi, PD Barua, T Tuncer, UR Acharya
Healthcare 10 (4), 643, Mar. 2022.

Automated Detection of Hypertension Using Continuous Wavelet Transform and a Deep Neural Network with Ballistocardiography Signals
JS Rajput, M Sharma, TS Kumar, UR Acharya
International Journal of Environmental Research and Public Health 19 (7), 4014, Mar. 2022.

Heart rate variability for medical decision support systems: A review
O Faust, W Hong, HW Loh, S Xu, RS Tan, S Chakraborty, PD Barua, F Molinari, UR Acharya
Computers in Biology and Medicine, 105407, Mar. 2022.

A Hand-Modeled Feature Extraction-Based Learning Network to Detect Grasps Using sEMG Signal
M Baygin, PD Barua, S Dogan, T Tuncer, S Key, UR Acharya, KH Cheong
Sensors 22 (5), 2007, Mar. 2022.

Resource allocation optimization using artificial intelligence methods in various computing paradigms: A Review
Javad Hassannataj Joloudari, Roohallah Alizadehsani, Issa Nodehi, Sanaz Mojrian, Fatemeh Fazl, Sahar Khanjani Shirkharkolaie, HM Dipu Kabir, Ru-San Tan, U Rajendra Acharya
arXiv e-prints, arXiv: 2203.12315, Mar. 2022.

Automated Intracranial Hematoma Classification in Traumatic Brain Injury (TBI) Patients Using Meta-Heuristic Optimization Techniques
U Raghavendra, Anjan Gudigar, Praneet Kasula, Yashas Chakole, Ajay Hegde, Chui Ping Ooi, Edward J Ciaccio, U Rajendra Acharya
Informatics 9 (1), 4, Mar. 2022.

Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdulhamit Subasi, U Rajendra Acharya, Juan M Gorriz
Biomedical Signal Processing and Control 73, 103417, Mar. 2022.

Feature‐versus deep learning‐based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study
U Raghavendra, Anjan Gudigar, Tejaswi N Rao, V Rajinikanth, Edward J Ciaccio, Chai Hong Yeong, Suresh Chandra Satapathy, Filippo Molinari, U Rajendra Acharya
International Journal of Imaging Systems and Technology 32 (2), 501-516, Mar. 2022.

Decision support system for major depression detection using spectrogram and convolution neural network with EEG signals
HW Loh, CP Ooi, E Aydemir, T Tuncer, S Dogan, UR Acharya
Expert Systems 39 (3), e12773, Mar. 2022.

Application of Artificial Intelligence Techniques for Automated Detection of Myocardial Infarction: a Review
Javad Hassannataj Joloudari, Sanaz Mojrian, Issa Nodehi, Amir Mashmool, Zeynab Kiani Zadegan, Sahar Khanjani Shirkharkolaie, Roohallah Alizadehsani, Tahereh Tamadon, Samiyeh Khosravi, Mitra Akbari Kohnehshari, Edris Hassannatajjeloudari, Danial Sharifrazi, Amir Mosavi, Hui Wen Loh, Ru-San Tan, U Rajendra Acharya
EasyChair, Feb. 2022.

An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet‐based entropy features
M Sharma, AA Bhurane, UR Acharya
Expert Systems, e12939, Feb. 2022.

Hybrid deep feature generation for appropriate face mask use detection
Emrah Aydemir, Mehmet Ali Yalcinkaya, Prabal Datta Barua, Mehmet Baygin, Oliver Faust, Sengul Dogan, Subrata Chakraborty, Turker Tuncer, U Rajendra Acharya
International Journal of Environmental Research and Public Health 19 (4), 1939, Feb. 2022.

Fusion of B‐mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinoma
Oliver Faust, Joel En Wei Koh, Edward J Ciaccio, Prabal D Barua, Norlia Omar, Wei Lin Ng, Nazimah Ab Mumin, Kartini Rahmat, U Rajendra Acharya
Expert Systems, Feb. 2022.

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

Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network
HW Loh, CP Ooi, SG Dhok, M Sharma, AA Bhurane, UR Acharya
Applied Intelligence 52 (3), 2903-2917, Feb. 2022.

UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detection
Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
arXiv preprint arXiv:2105.08590, Jan. 2022.

Aleatory-aware deep uncertainty quantification for transfer learning
HM Dipu Kabir, Sadia Khanam, Fahime Khozeimeh, Abbas Khosravi, Subrota Kumar Mondal, Saeid Nahavandi, U Rajendra Acharya
Computers in Biology and Medicine, 105246, Jan. 2022.

Automated identification of sleep disorders using wavelet-based features extracted from electrooculogram and electromyogram signals
M Sharma, J Darji, M Thakrar, UR Acharya
Computers in Biology and Medicine, 105224, Jan. 2022.

Development of accurate automated language identification model using polymer pattern and tent maximum absolute pooling techniques
T Tuncer, S Dogan, E Akbal, A Cicekli, U Rajendra Acharya
Neural Computing and Applications, 1-14, Jan. 2022.

Automated Emotion Recognition: Current Trends and Future Perspectives
M Maithri, U Raghavendra, Anjan Gudigar, Jyothi Samanth, Prabal Datta Barua, Murugappan Murugappan, Yashas Chakole, U Rajendra Acharya
Computer Methods and Programs in Biomedicine, 106646, Jan. 2022.

A novel genetic algorithm based system for the scheduling of medical treatments
M Squires, X Tao, S Elangovan, R Gururajan, X Zhou, UR Acharya
Expert Systems with Applications, 116464, Jan. 2022.

Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders—A Review
Prabal Datta Barua, Jahmunah Vicnesh, Raj Gururajan, Shu Lih Oh, Elizabeth Palmer, Muhammad Mokhzaini Azizan, Nahrizul Adib Kadri, U Rajendra Acharya
International Journal of Environmental Research and Public Health 19 (3), 1192, Jan. 2022.

Development of a Computational Tool for the Estimation of Alveolar Bone Loss in Oral Radiographic Images
M Maithri, Dhanush G Ballal, Santhosh Kumar, U Raghavendra, Anjan Gudigar, Wai Yee Chan, Shravya Macherla, Ravindranath Vineetha, Pratibha Gopalkrishna, Edward J Ciaccio, U Rajendra Acharya
Computation 10 (1), 8, Jan. 2022.

Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images
G Bargshady, X Zhou, PD Barua, R Gururajan, Y Li, UR Acharya
Pattern Recognition Letters 153, 67-74, Jan. 2022.

Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals
Joel EW Koh, Chui Ping Ooi, Nikki SJ Lim-Ashworth, Jahmunah Vicnesh, Hui Tian Tor, Oh Shu Lih, Ru-San Tan, U Rajendra Acharya, Daniel Shuen Sheng Fung
Computers in biology and medicine 140, 105120, Jan. 2022.

Application of artificial intelligence in wearable devices: Opportunities and challenges
D Nahavandi, R Alizadehsani, A Khosravi, UR Acharya
Computer Methods and Programs in Biomedicine 213, 106541, Jan. 2022.

Tetromino pattern based accurate EEG emotion classification model
T Tuncer, S Dogan, M Baygin, UR Acharya
Artificial Intelligence in Medicine 123, 102210, Jan. 2022.

Automated Sleep apnea detection using optimal duration-frequency concentrated wavelet-based features of pulse oximetry signals
M Sharma, D Kumbhani, A Yadav, UR Acharya
Applied Intelligence 52 (2), 1325-1337, Jan. 2022.

Interpretation of radiomics features: a pictorial review
AA Ardakani, NJ Bureau, EJ Ciaccio, UR Acharya
Computer Methods and Programs in Biomedicine, 106609, Dec. 2021.

Expert system for detection of congestive heart failure using optimal wavelet and heart rate variability signals for wireless cloud‐based environment
M Sharma, S Patel, UR Acharya
Expert Systems, e12903, Dec. 2021.

Automated classification of remote sensing images using multileveled MobileNetV2 and DWT techniques
CH Karadal, MC Kaya, T Tuncer, S Dogan, UR Acharya
Expert Systems with Applications 185, 115659, Dec. 2021.

Transfer learning techniques for medical image analysis: A review
Padmavathi Kora, Chui Ping Ooi, Oliver Faust, U Raghavendra, Anjan Gudigar, Wai Yee Chan, K Meenakshi, K Swaraja, Pawel Plawiak, U Rajendra Acharya
Biocybernetics and Biomedical Engineering, Dec. 2021.

Deep learning for neuroimaging-based diagnosis and rehabilitation of autism spectrum disorder: a review
Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, Navid Ghaasemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Assef Zare, Yinan Kong, Abbas Khosravi, Saeid Nahavandi, Sadiq Hussain, U Rajendra Acharya, Michael Berk
Computers in Biology and Medicine 139, 104949, Dec. 2021.

Multilevel Deep Feature Generation Framework for Automated Detection of Retinal Abnormalities Using OCT Images
Prabal Datta Barua, Wai Yee Chan, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Edward J Ciaccio, Nazrul Islam, Kang Hao Cheong, Zakia Sultana Shahid, U Rajendra Acharya
Entropy 23 (12), 1651, Dec. 2021.

A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study
Ali Abbasian Ardakani, Robert M Kwee, Mohammad Mirza-Aghazadeh-Attari, Horacio Matías Castro, Taha Yusuf Kuzan, Kübra Murzoğlu Altintoprak, Giulia Besutti, Filippo Monelli, Fariborz Faeghi, U Rajendra Acharya, Afshin Mohammadi
Pattern recognition letters 152, 42-49, Dec. 2021.

A review of uncertainty quantification in deep learning: Techniques, applications and challenges
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul Fieguth, Xiaochun Cao, Abbas Khosravi, U Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
Information Fusion 76, 243-297, Dec. 2021.

Exploring deep features and ECG attributes to detect cardiac rhythm classes
F Murat, O Yildirim, M Talo, Y Demir, RS Tan, EJ Ciaccio, UR Acharya
Knowledge-Based Systems 232, 107473, Nov. 2021.

Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data
Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan M Gorriz, Sadiq Hussain, Juan E Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U Rajendra Acharya
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 17, 1-24, Nov. 2021.

Automated EEG signal classification using chaotic local binary pattern
T Tuncer, S Dogan, UR Acharya
Expert Systems with Applications 182, 115175, Nov. 2021.

A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs
Mohammad Beheshti Roui, Mariam Zomorodi, Masoomeh Sarvelayati, Moloud Abdar, Hamid Noori, Paweł Pławiak, Ryszard Tadeusiewicz, Xujuan Zhou, Abbas Khosravi, Saeid Nahavandi, U Rajendra Acharya
Knowledge-Based Systems 231, 107419, Nov. 2021.

Automated COVID-19 and Heart Failure Detection Using DNA Pattern Technique with Cough Sounds
Mehmet Ali Kobat, Tarik Kivrak, Prabal Datta Barua, Turker Tuncer, Sengul Dogan, Ru-San Tan, Edward J Ciaccio, U Rajendra Acharya
Diagnostics 11 (11), 1962, Nov. 2021.

PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition
Abdullah Dogan, Merve Akay, Prabal Datta Barua, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Ali Hikmet Dogru, U Rajendra Acharya
Computers in Biology and Medicine 138, 104867, Nov. 2021.

Automated classification of five arrhythmias and normal sinus rhythm based on RR interval signals
O Faust, UR Acharya
Expert Systems with Applications 181, 115031, Nov. 2021.

A novel machine learning framework for automated detection of arrhythmias in ECG segments
V Sree, J Mapes, S Dua, OS Lih, JEW Koh, EJ Ciaccio, UR Acharya
Journal of Ambient Intelligence and Humanized Computing 12 (11), 10145-10162, Nov. 2021.

Multi-scale convolutional neural network for accurate corneal segmentation in early detection of fungal keratitis
Veena Mayya, Sowmya Kamath Shevgoor, Uma Kulkarni, Manali Hazarika, Prabal Datta Barua, U Rajendra Acharya
Journal of Fungi 7 (10), 850, Oct. 2021.

Novel automated PD detection system using aspirin pattern with EEG signals
PD Barua, S Dogan, T Tuncer, M Baygin, UR Acharya
Computers in Biology and Medicine 137, 104841, Oct. 2021.

Novel ensemble of optimized CNN and dynamic selection techniques for accurate Covid-19 screening using chest CT images
S Pathan, PC Siddalingaswamy, P Kumar, MP MM, T Ali, UR Acharya
Computers in Biology and Medicine 137, 104835, Oct. 2021.

AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals
Tejas Radhakrishnan, Jay Karhade, SK Ghosh, PR Muduli, RK Tripathy, U Rajendra Acharya
Computers in Biology and Medicine 137, 104783, Oct. 2021.

BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification
Moloud Abdar, Mohammad Amin Fahami, Satarupa Chakrabarti, Abbas Khosravi, Paweł Pławiak, U Rajendra Acharya, Ryszard Tadeusiewicz, Saeid Nahavandi
Information Sciences 577, 353-378, Oct. 2021.

A novel automated autism spectrum disorder detection system
Shu Lih Oh, V Jahmunah, N Arunkumar, Enas W Abdulhay, Raj Gururajan, Nahrizul Adib, Edward J Ciaccio, Kang Hao Cheong, U Rajendra Acharya
Complex & Intelligent Systems 7 (5), 2399-2413, Oct. 2021.

Automated arrhythmia detection with homeomorphically irreducible tree technique using more than 10,000 individual subject ECG records
M Baygin, T Tuncer, S Dogan, RS Tan, UR Acharya
Information Sciences 575, 323-337, Oct. 2021.

ResNet‐Attention model for human authentication using ECG signals
M Hammad, P Pławiak, K Wang, UR Acharya
Expert Systems 38 (6), e12547, Sep. 2021.

2DSM vs FFDM: A computeraided diagnosis based comparative study for the early detection of breast cancer
U Raghavendra, Anjan Gudigar, Edward J Ciaccio, Kwan Hoong Ng, Wai Yee Chan, Kartini Rahmat, U Rajendra Acharya
Expert Systems 38 (6), e12474, Sep. 2021.

Automated accurate schizophrenia detection system using Collatz pattern technique with EEG signals
M Baygin, O Yaman, T Tuncer, S Dogan, PD Barua, UR Acharya
Biomedical Signal Processing and Control 70, 102936, Sep. 2021.

Automated detection of shockable ECG signals: a review
Mohamed Hammad, Rajesh NVPS Kandala, Amira Abdelatey, Moloud Abdar, Mariam Zomorodi‐Moghadam, Ru San Tan, U Rajendra Acharya, Joanna Pławiak, Ryszard Tadeusiewicz, Vladimir Makarenkov, Nizal Sarrafzadegan, Abbas Khosravi, Saeid Nahavandi, Ahmed A Abd EL-Latif, Paweł Pławiak
Information Sciences 571, 580-604, Sep. 2021.

Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Gorriz, Jónathan Heras, Maryam Panahiazar, Saeid Nahavandi, U Rajendra Acharya
Computers in Biology and Medicine 136, 104697, Sep. 2021.

Automated major depressive disorder detection using melamine pattern with EEG signals
E Aydemir, T Tuncer, S Dogan, R Gururajan, UR Acharya
Applied Intelligence 51 (9), 6449-6466, Sep. 2021.

Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals
U Raghavendra, Anjan Gudigar, Yashas Chakole, Praneet Kasula, DP Subha, Nahrizul Adib Kadri, Edward J Ciaccio, U Rajendra Acharya
Expert Systems, e12803, Aug. 2021.

Mcua: Multi-level context and uncertainty aware dynamic deep ensemble for breast cancer histology image classification
Zakaria Senousy, Mohammed Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, Rajendra U Acharya, Abbas Khosravi, Saeid Nahavandi
IEEE Transactions on Biomedical Engineering, Aug. 2021.

Automated arrhythmia detection based on RR intervals
O Faust, M Kareem, A Ali, EJ Ciaccio, UR Acharya
Diagnostics 11 (8), 1446, Aug. 2021.

Automated Characterization of Cyclic Alternating Pattern Using Wavelet-Based Features and Ensemble Learning Techniques with EEG Signals
M Sharma, V Patel, J Tiwari, UR Acharya
Diagnostics 11 (8), 1380, Aug. 2021.

Automated detection of glaucoma using elongated quinary patterns technique with optical coherence tomography angiogram images
YM Chan, EYK Ng, V Jahmunah, JEW Koh, SL Oh, WS Han, LWL Yip, UR Acharya
Biomedical Signal Processing and Control 69, 102895, Aug. 2021.

A review of patient-led data acquisition for atrial fibrillation detection to prevent stroke
M Kareem, N Lei, A Ali, EJ Ciaccio, UR Acharya, O Faust
Biomedical Signal Processing and Control 69, 102818, Aug. 2021.

Deep learning model for automated kidney stone detection using coronal CT images
K Yildirim, PG Bozdag, M Talo, O Yildirim, M Karabatak, UR Acharya
Computers in biology and medicine 135, 104569, Aug. 2021.

Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning
Moloud Abdar, Maryam Samami, Sajjad Dehghani Mahmoodabad, Thang Doan, Bogdan Mazoure, Reza Hashemifesharaki, Li Liu, Abbas Khosravi, U Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
Computers in biology and medicine 135, 104418, Aug. 2021.

Automated detection of schizophrenia using optimal wavelet-based  l 1 norm features extracted from single-channel EEG
M Sharma, UR Acharya
Cognitive Neurodynamics 15 (4), 661-674, Aug. 2021.

Automated identification of insomnia using optimal bi-orthogonal wavelet transform technique with single-channel EEG signals
M Sharma, V Patel, UR Acharya
Knowledge-Based Systems 224, 107078, Jul. 2021.

An automated skin melanoma detection system with melanoma-index based on entropy features
Kang Hao Cheong, Kenneth Jian Wei Tang, Xinxing Zhao, Joel En Wei Koh, Oliver Faust, Raj Gururajan, Edward J Ciaccio, V Rajinikanth, U Rajendra Acharya
Biocybernetics and Biomedical Engineering 41 (3), 997-1012, Jul. 2021.

Automated ASD detection using hybrid deep lightweight features extracted from EEG signals
Mehmet Baygin, Sengul Dogan, Turker Tuncer, Prabal Datta Barua, Oliver Faust, N Arunkumar, Enas W Abdulhay, Elizabeth Emma Palmer, U Rajendra Acharya
Computers in Biology and Medicine 134, 104548, Jul. 2021.

Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images
Anjan Gudigar, U Raghavendra, Jyothi Samanth, Mokshagna Rohit Gangavarapu, Abhilash Kudva, Ganesh Paramasivam, Krishnananda Nayak, Ru-San Tan, Filippo Molinari, Edward J Ciaccio, U Rajendra Acharya
Biomedical Signal Processing and Control 68, 102733, Jul. 2021.

Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals
D Maheshwari, SK Ghosh, RK Tripathy, M Sharma, UR Acharya
Computers in Biology and Medicine 134, 104428, Jul. 2021.

Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals
V Jahmunah, EYK Ng, TR San, UR Acharya
Computers in biology and medicine 134, 104457, Jul. 2021.

Application of substitution box of present cipher for automated detection of snoring sounds
S Dogan, E Akbal, T Tuncer, UR Acharya
Artificial Intelligence in Medicine 117, 102085, Jul. 2021.

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U Rajendra Acharya
Biomedical Signal Processing and Control 68, 102622, Jul. 2021.

Application of Petersen graph pattern technique for automated detection of heart valve diseases with PCG signals
T Tuncer, S Dogan, RS Tan, UR Acharya
Information Sciences 565, 91-104, Jul. 2021.

Corrigendum to'An Introduction to the Cyrcadia Breast Monitor: A Wearable Breast Health Monitoring Device'[Computer Methods and Programs in Biomedicine 197: 105758]
Rob Royea, Kevin J Buckman, Matt Benardis, Jim Holmes, Ronald L Fletcher, Ng Eyk, U Rajendra Acharya, Joshua DI Ellenhorn
Computer methods and programs in biomedicine 205, 106118, Jun., 2021.

Future IoT tools for COVID‐19 contact tracing and prediction: A review of the state‐of‐the‐science
Vicnesh Jahmunah, Vidya K Sudarshan, Shu Lih Oh, Raj Gururajan, Rashmi Gururajan, Xujuan Zhou, Xiaohui Tao, Oliver Faust, Edward J Ciaccio, Kwan Hoong Ng, U Rajendra Acharya
International journal of imaging systems and technology 31 (2), 455-471, Jun. 2021.

UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion with ensemble Monte Carlo dropout for COVID-19 detection
Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U Rajendra Acharya, Saeid Nahavandi
arXiv preprint arXiv:2105.08590, May 2021.

PDCNNet: An automatic framework for the detection of Parkinson’s disease using EEG signals
SK Khare, V Bajaj, UR Acharya
IEEE Sensors Journal 21 (15), 17017-17024, May 2021.

Efficient deep neural network model for classification of grasp types using sEMG signals
M Coskun, O Yildirim, Y Demir, UR Acharya
Journal of Ambient Intelligence and Humanized Computing, 1-14, May 2021.

A hybrid deep learning approach for gland segmentation in prostate histopathological images
Massimo Salvi, Martino Bosco, Luca Molinaro, Alessandro Gambella, Mauro Papotti, U Rajendra Acharya, Filippo Molinari
Artificial Intelligence in Medicine 115, 102076, May 2021.

Development of accurate classification of heavenly bodies using novel machine learning techniques
M Wierzbiński, P Pławiak, M Hammad, UR Acharya
Soft Computing 25 (10), 7213-7228, May 2021.

ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images
DR Nayak, D Das, B Majhi, SV Bhandary, UR Acharya
Biomedical Signal Processing and Control 67, 102559, May 2021.

Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach
Joel En Wei Koh, Simona De Michele, Vidya K Sudarshan, V Jahmunah, Edward J Ciaccio, Chui Ping Ooi, Raj Gururajan, Rashmi Gururajan, Shu Lih Oh, Suzanne K Lewis, Peter H Green, Govind Bhagat, U Rajendra Acharya
Computer Methods and Programs in Biomedicine 203, 106010, May 2021.

Spwvd-cnn for automated detection of schizophrenia patients using eeg signals
SK Khare, V Bajaj, UR Acharya
IEEE Transactions on Instrumentation and Measurement 70, 1-9, Apr. 2021.

Detection of Parkinson’s disease using automated tunable Q wavelet transform technique with EEG signals
SK Khare, V Bajaj, UR Acharya
Biocybernetics and Biomedical Engineering 41 (2), 679-689, Apr. 2021.

Application of Artificial Intelligence techniques for the detection of Alzheimer’s disease using structural MRI images
X Zhao, CKE Ang, UR Acharya, KH Cheong
Biocybernetics and Biomedical Engineering 41 (2), 456-473, Apr. 2021.

Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals
M Sharma, HS Dhiman, UR Acharya
Computers in Biology and Medicine 131, 104246, Apr. 2021.

Novel and accurate non-linear index for the automated detection of haemorrhagic brain stroke using CT images
U Raghavendra, Anjan Gudigar, V Vidhya, B Nageswara Rao, Sukanta Sabut, Joel Koh En Wei, Edward J Ciaccio, U Rajendra Acharya
Complex & Intelligent Systems 7 (2), 929-940, Apr. 2021.

Risk factors prediction, clinical outcomes, and mortality in COVID‐19 patients
Roohallah Alizadehsani, Zahra Alizadeh Sani, Mohaddeseh Behjati, Zahra Roshanzamir, Sadiq Hussain, Niloofar Abedini, Fereshteh Hasanzadeh, Abbas Khosravi, Afshin Shoeibi, Mohamad Roshanzamir, Pardis Moradnejad, Saeid Nahavandi, Fahime Khozeimeh, Assef Zare, Maryam Panahiazar, U Rajendra Acharya, Sheikh Mohammed Shariful Islam
Journal of medical virology 93 (4), 2307-2320, Apr. 2021.

ECG Language processing (ELP): A new technique to analyze ECG signals
S Mousavi, F Afghah, F Khadem, UR Acharya
Computer Methods and Programs in Biomedicine 202, 105959, Apr. 2021.

 

R. S. Tan , E. J Ciaccio, T. Yamakawa, M. Tanabe, M. Kobayashi, U. R. Acharya*,
Classification of heart sound signals using a novel deep WaveNet model
Computer Methods and Programs in Biomeducune, 196, 105604, 2020. (*corresponding)

 

Grants

Optimization of poling condition for porous piezoelectric material made by sol-gel composite technique
19K04493, Makiko Kobayashi (Principal Investigator), Grant-in-Aid for Scientific Research (C)

Fundamental development of physiological measurement and analysis platform toward 2nd-generation healthcare IoT technology
21H03855, Toshitaka Yamakawa (Principal Investigator), Grant-in-Aid for Scientific Research (B)

Identification of personalized chronobiological and psychological factor which induce epileptic seizure
21K07540, Toshitaka Yamakawa (Co-Investigator), Grant-in-Aid for Scientific Research (C)

Development of Heat Stroke Alert System by Wearable Device
19H04501, Toshitaka Yamakawa (Co-Investigator), Grant-in-Aid for Scientific Research (B)

 

Activities

Patents

PCT application (PCT/SG2020/050538)

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