• Sengul Dogan10 • Gurkan Kavuran11 • Turker Tuncer10 • Ru-San Tan12,13 • Authors and Affiliations U. Rajendra Acharya14 U. Rajendra Acharya 1 2 3 4 Cogninet Australia, Sydney, NSW 2010, Australia
improved recommendations as well. Author Contributions Conceptualization: Achraf Bouaoune, Reda Tighilt, Moloud Abdar, Alix Boc, Etienne Lord, Nadia Tahiri, Bogdan Mazoure, U. Rajendra Acharya, Vladimir ... : Vladimir Makarenkov. Methodology: Nail Chabane, Achraf Bouaoune, Reda Tighilt, Moloud Abdar, Alix Boc, Etienne Lord, Nadia Tahiri, Bogdan Mazoure, U. Rajendra Acharya, Vladimir Makarenkov. Software: Nail
paper; U. Rajendra Acharya wrote the paper. Compliance with ethical standards Conflict of interest All authors declare that they have no conflict of interest. Ethical approval This article does not
CT findings of COVID-19 look similar to other atypical and viral (non-COVID-19) pneumonia diseases. This study proposes a clinical computer-aided diagnosis (CAD) system using CT features to automatically discriminate COVID-19 from non-COVID-19 pneumonia patients. Overall, 612 patients (306 COVID-19 and 306 non-COVID-19 pneumonia) were recruited. Twenty radiological features were...
. Rajendra Acharya Open Access Computer aided Medical Diagnosis First Online: 05 January 2019 28 Downloads Abstract The heart disease is one of the most serious health problems in today’s world
. Supervision: Fatemeh Afghah. Validation: Fatemeh Afghah, U. Rajendra Acharya. Visualization: Sajad Mousavi. Writing ? original draft: Sajad Mousavi. Writing ? review & editing: Fatemeh Afghah, U. Rajendra ... Acharya. 13 / 15 14 / 15 1. Biswal S , Kulas J , Sun H , Goparaju B , Westover MB , Bianchi MT , et al. SLEEPNET: automated sleep staging system via deep learning . arXiv preprint arXiv:170708262 . 2017
, Singapore 599489 , Singapore 6 U. Rajendra Acharya 7 Biomedical Engineering Department, Faculty of Engineering, Jordan University of Science and Technology , Ar-Ramtha , Jordan 8 Department of Electronics and
radon transform and discrete cosine transform features in ultrasound images . Inf Fusion 31 : 43 - 53 47. Raghavendra U , Rajendra Acharya U , Ng EYK , Tan J-H , Gudigar A ( 2016 ) An integrated index for ... ultrasound images . Biomed Signal Process Control 40 : 324 - 334 49. Raghavendra U , Rajendra Acharya U , Gudigar A , Tan JH , Fujita H , Hagiwara Y , Molinari F , Kongmebhol P , Ng KH ( 2017 ) Fusion of
systems with DC motor or induction motor. Thus, an effective solar system is achieved. U. Rajendra Acharya et al. proposed empirical mode decomposition (EMD) for an automated identification and
Understanding the data and reaching accurate conclusions are of paramount importance in the present era of big data. Machine learning and probability theory methods have been widely used for this purpose in various fields. One critically important yet less explored aspect is capturing and analyzing uncertainties in the data and model. Proper quantification of uncertainty helps to...
Kwan-Hoong Ng Oliver Faust Rajendra Acharya U 0 ) Department of Biomedical Imaging, University of Malaya , Kuala Lumpur, Malaysia
Aim The main treatment for meibomian gland dysfunction (MGD), a major cause of dry eye, is eyelid warming. Lack of compliance is the main reason for treatment failure. This has led to the development of eyelid-warming devices that are safe, effective and convenient. To obtain robust evidence demonstrating their efficacy, the authors conducted a 3-arm randomized clinical study...
Ventricular Fibrillation Using Wavelet Decomposition . IEEE Engineering In Medicine and Biology Magazine 2002 : 58 - 61 . 16. Rajendra Acharya U , Pubbanna Bhat SS , Iyengar , Ashok Rao , Summet Dua
Analysis of heart rate variation (HRV) has become a popular noninvasive tool for assessing the activities of the autonomic nervous system (ANS). HRV analysis is based on the concept that fast fluctuations may specifically reflect changes of sympathetic and vagal activity. It shows that the structure generating the signal is not simply linear, but also involves nonlinear...
Background Digital watermarking is a technique of hiding specific identification data for copyright authentication. This technique is adapted here for interleaving patient information with medical images, to reduce storage and transmission overheads. Methods The patient information is encrypted before interleaving with images to ensure greater security. The bio-signals are...
Digital watermarking is a technique of hiding specific identification data for copyright authentication. This technique is adapted here for interleaving patient information with medical images, to reduce storage and transmission overheads. The patient information is encrypted before interleaving with images to ensure greater security. The bio-signals are compressed and...
Background Analysis of heart rate variation (HRV) has become a popular noninvasive tool for assessing the activities of the autonomic nervous system (ANS). HRV analysis is based on the concept that fast fluctuations may specifically reflect changes of sympathetic and vagal activity. It shows that the structure generating the signal is not simply linear, but also involves...
Background The EEG (Electroencephalogram) is a representative signal containing information about the condition of the brain. The shape of the wave may contain useful information about the state of the brain. However, the human observer can not directly monitor these subtle details. Besides, since bio-signals are highly subjective, the symptoms may appear at random in the time...