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.
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 * Scheduled for publication July 2023
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) 2022.
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.
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, 2023, 82-108.* Scheduled for publication June 2023