IoT and Machine Learning Based Application for Biomedical Signal Processing and Imaging

IoT and Machine Learning Based Application for Biomedical Signal Processing and Imaging


Biomedical Signal Processing and Imaging aims to provide an international forum for the exchange of information related to research in the measurement of signals in clinical medicine and the biological sciences. Special attention will be given to submissions that deal with methods and devices that are used in clinical diagnosis, patient monitoring and management, as well as practical, applications-driven research.

To solve problems that are difficult to model analytically, machine learning (ML) is widely used today. There are many applications that benefit from ML tools due to the democratisation of effective and user-friendly computational facilities. Biomedical signal processing and imaging faces a great challenge and opportunity to integrate machine learning tools in applications such as diagnosis aid, reconstruction, restoration, and data analysis in this context. For biomedical signal processing and image processing, machine learning (ML) has a wide range of applications, from diagnosis to therapy.

It was inspired by the growing use of machine learning in biomedicine. With the help of machine learning tools, this journal will help to highlight recent advances in a variety of applications dealing with biomedical signals processing and images. How machine learning (ML) and deep learning methods can be used to solve various problems in biomedical signal processing and imaging (such as segmentation) is the goal of the proposal. Researchers are interested in topics such as Internet of Things (IoT), cloud computing, big data, and artificial intelligence/machine learning and its applications in biomedical field. It's not just about information and communication technology; it's about all kinds of systems in our society like business and finance as well as manufacturing, management, and the environment, among other things. Digital-to-physical connectivity (IoT) enables massive amounts of data to be generated. Large amounts of data can be processed in the cloud, which allows for intelligent decisions to be made based on big data analysis and machine learning. In this journal, we'll be looking at how these cutting-edge technologies are analysed, modelled, simulated, and applied in a variety of fields.

If we are seeking to solve a variety of problems with IoT-based systems, the Blockchain is one of the most promising technologies, with smart contracts at its core. Blockchain technology may be applied to a wide range of IoT devices and processes. A smart watch (healthcare application) that measures your pulse (biomedical data) is an example of an IoT device that is more geared toward the needs of the end user.

To bring together recent methodological and applied advances in machine learning for biomedical data, which are of particular interest to the signal and image processing community in regard to their challenges and opportunities, this journal proposal has been created.

Subject Coverage

Topics of interest include, but are not limited to:

  • Biomedical signal processing.

  • Imaging.

  • Human-machine interface.

  • Embedded systems for signal processing and machine learning.

  • Acoustics and speech processing.

  • Image/video/multimedia.

  • Genomic signal processing.

  • Emerging applications in signal processing and machine learning.

  • Bioinformatics.

  • Neural net and support vector machine.

  • Bio-instrumentation and sensors applications.

  • Informatics in healthcare and biomedicine.

  • Cardiovascular and respiratory systems engineering.

  • Neural and rehabilitation engineering.

  • Cellular and tissue engineering.

  • Biomechanics and robotics.

  • Therapeutic and diagnostic technology.

  • Clinical engineering.

  • Regulatory science in biomedical engineering.

  • IoT User experience: Design, Human Machine Interface, UX, Cognitive approach.

  • Blockchain-based IoT for signal and Image.

Succinct keywords which reflect the key themes of the collection

(i) Signal Processing,

(ii) Imaging Processing,

(iii) Machine Learning,

(iv) Computational intelligence,

(v) Data Transmission,

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication. All papers are refereed through a peer review process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Author Guidelines page.

Important Date Deadlines

  • Full Paper Submission: 05 months from the initial Call-for-Papers.

  • Notification of Acceptance: 01 month after the full paper submission.

  • Final Submission and Registration: 01 month after the notification of acceptance.

  • Publication Date: 02 months after the final submission and registration.

Guest Editors of the Special Issue

· Following are the list of Guest Editors:

· Lead Guest Editor:

· Dr. Ashish Bagwari,

Head, Department of Electronics and Communication Engineering, Women Institute of Technology (State Government Institution), Uttarakhand Technical University (State Government Technical University), India

Dr. Ashish Bagwari received B. Tech. (with Honors), M. Tech. (with Honors and Gold Medalist), and Ph.D. degrees in Electronics and Communication engineering in 2007, 2011, and 2016 respectively. He is currently working as a Head for the Department of Electronics and Communication Engineering at Women Institute of Technology (WIT) (Institute of State Government) Dehradun, Affiliating Institution of Uttarakhand Technical University (State Government Technical University), Dehradun, India. He has more than 13.5 years of experience in industry, academics, and research. He received the Best WIT Faculty award in 2013 and 2015 and Best Project Guide Award in 2015. Dr. Bagwari has been awarded by the Corps of Electrical and Mechanical Engineers Prize from the Institution of Engineers, India (IEI) in December 2015 for his research work and was named in Who’s Who in the World 2016 (33rdEdition), 2017 (34th Edition). Also, received Outstanding Scientist Award 2021 from VDGOOD Technology, Chennai, India in November 2021, and Dr. A.P.J. Abdul Kalam Life Time Achievement National Award 2022 from National Institute for Socio Economic Development (NISED), Bangalore, India in June 2022.

Dr. Bagwari has published more than 165+ research articles in various international journals (including SCI, Scopus, and ISI indexed) that also include IEEE international conferences ( His areas of interest are cognitive radio networks, mobile communication, sensor networks, wireless, and 5G Communication, digital communication, mobile ad-hoc networks, etc. Dr. Bagwari is an active member of various professional societies like Institute of Electrical and Electronics Engineers (IEEE, USA) as a Senior Member, Institute of Electronics and Telecommunication Engineers (IETE), India as  a Fellow, professional member of ACM (Association for Computing Machinery), member of Machine Intelligence Research Laboratory Society, member of International Association of Engineers, etc. He has also been an Academic Editor of Mobile Information Systems, Hindawi, SCI indexed journal (, Academic Editor of International Journal of Wireless Communications and Mobile Computing, Wiley-Hindawi, SCI indexed journal (, Academic Editor of International Journal of Distributed Sensor Networks”, Sage-Hindawi Publication, SCI indexed journal (, Academic Editor of International Journal of RF and Microwave Computer-Aided Engineering, Wiley-Hindawi, SCI indexed journal (, an advisor, and a reviewer of several well- known international journals published by IEEE, Taylor & Francis, Springer, Elsevier, IJCCN, ISTP, IJATER, JREEE, JCSR, and  JNMS, CICN-2011, 2013, 2015, 2016,  2017, 2018,  2019, 2020,  2021, 2022, CSNT-2014, 2015, 2016, 2017, 2018, 2019, 2020,  2021, 2022, ICMWOC-2014, I4CT'2014, and ICEPIT-2014. Dr. Bagwari is a member of the Board of Studies (BoS) of Dr. B.A. Technological University, Lonere, Maharashtra, Uttarakhand Technical University (UTU), Dehradun, and Uttaranchal University (UIT), Dehradun, etc. for the departments of Electronics & Communication Engineering. Dr. Bagwari has organized 06 international conferences, 20+ workshops/ symposium, 08 Short Term Course Program (STCP)/ Faculty Development Program (FDP) program, 12 expert lectures and has been invited as a key-speaker, session chair in various workshops/conferences and delivered 17 expert lectures at different institutions and universities within India. Dr. Ashish has visited china in the year 2007 when he associated with the Reliance industry, Mumbai, India. Dr. Ashish filled 01 and granted 01 Indian patents and currently, pursuing various research projects/ consultancies funded by the Government of India/ Private Organizations. Dr. Ashish has assessed and evaluated more than 07 Post-graduate student’s projects (at M.Tech. Course Level) and 16 under-graduate student’s projects (at B.Tech. Course Level), guided 01 Ph.D. student and guiding 03 Ph.D. students, and evaluated/ reviewed 09 Ph.D. thesis as an external examiner. He has written five books and more than 10 book chapters in reputed international publishers. Dr. Ashish is also leading certain special issues such as "Radio Networks for new Disruptive Digital Services in Fourth Industrial Revolution" as a “Lead Guest Editor” at “Computers, Materials & Continua (CMC) Journal”, Tech Science Press, USA, which is SCIE Q1 indexed Journal with Impact Factor: 3.772 ( networks). Special issue on “Applications of Cognitive Radio in Emerging Technologies" as a “Lead Guest Editor” at “International Journal of Distributed Sensor Networks”, SAGE Publication, UK, which is SCIE Q1 indexed Journal with Impact Factor: 1.640 ( in-emerging-technologies). And special issue on “Cognitive Radio as Futuristic Technology for Cloud Computing, Mobile Computations, Big Data, and Blockchain Techniques" as a “Lead Guest Editor” at “Frontiers In Computer Science”, Frontier Publication, Switzerland, which is ESCI indexed Journal. ( cloud-computing-mobile-computations-big-data-and-blockc). The “Guest Editor” for a special issue "AI and Security Application in Green Energy and Renewable Power" of “Applied Sciences”, MDPI Publication, Switzerland, SCI indexed Journal (Impact Factor-2.679) for the year 2021-22. ( er).

Also, he has organized various International Conferences such as International Conference on Wireless Technologies, Networks and Science-2022 (ICWTNS-2022) association with Al-Balqa University, Jordan: scheduled during 06-07 October, 2022 as General Chair. (, and International Conference on Emerging Wireless Technologies and Sciences-2023 (ICEWTS 2023), supported by ITMO University, Russia: during 07-08 May, 2023 as General Chair. (





· Guest Editor (s):

· Dr. Mohammad Kamrul Hasan,

Senior Lecturer in the Network and Communication Technology research cluster, Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Malaysia.

Dr. Mohammad Kamrul Hasan (MIEEE’13, SMIEEE’17) is currently working as a  Senior Lecturer in the Network and Communication Technology research cluster, Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM). He completed a Doctor of Philosophy (Ph.D.) degree in Electrical and Communication Engineering from the faculty of Engineering, International Islamic University, Malaysia, in 2016. Dr. Hasan completed his M.Sc. degree in Communication Engineering from the Department of Electrical and Computer Engineering, International Islamic University, Malaysia, in 2012. He has been awarded the gold medal for the research work and many achievements, such as the Full bright scholarship sponsored by the Ministry of Higher Education Malaysia. Dr. Kamrul has been a Senior Member of the Institute of Electrical and Electronics Engineers since 2013, a Member of the Institution of Engineering and Technology, and a member of the Internet Society. He has served the IEEE IIUM student branch as chairperson from 2014 to 2016. Before starting the doctoral study, Dr. Kamrul served the related industry for ten (10) years as a lead engineer, deputy manager, manager for the supervision, installation, setup, and fault handling of Radio and Microwave Communication systems and networks, Wide Area Network design/planning and implementation, PLC, Wide Aera Measurement System, Microcontrollers, and Merging Units. He is a certified professional technologist and has been consulting the related industries. His research interest includes Telecommunications, Cyber-Physical and Network Security, Internet of Things, Vehicular Networks, and smart grid technologies. Dr. Kamrul has been secured research Grants in National and International level which is worth in One (1) million Malaysian Ringgit or 238,900.00 USD. He has published 160 peer-reviewed articles high-impact SCIE/SCI/ISI, and Scopus indexed Journals. Dr. Kamrul received 1800 citations in Google Scholar, and his H-index is 26, and i10- 51.




· Guest Editor (s):

· Dr. Bhawani Shankar Chowdhry

Professor Emeritus, Faculty of Electrical, Electronics and Computer Engineering, Mehran University of Engineering & Technology, Jamshoro, Pakistan.

Prof. (Dr.) Bhawani Shankar Chowdhry has varied teaching and research experience of more than 3 decades in diversified fields such as Electronics, Telecommunication, Microprocessor Technology, Internet of Things, Telemedicine, Wireless sensor networks, ICT, Intelligent instrumentation etc. After completing his first degree in Electronic engineering discipline in 1983 with first class first position, he joined MUET as a faculty member. He did PhD in the field of Microprocessor Based Intelligent Instrumentation from the school of Electronics and Computer Science University of Southampton, UK in 1990. He rejoined the MUET after his PhD in 1990. In 1990 has was appointed  as an Associate Professor, and in 1996, he was appointed as a full Professor. He also served as Chairman Electronic Engineering from 1993 to 2011. In 2001, he became founding Chairman of Telecommunication Engineering in addition to his assignment as a Chairman Electronics department. In 2003, he pioneered Biomedical Engineering department and remained its founding Chairman. At some point of time he served as a Chairman of three departments viz-z-viz Electronics, Telecommunication and Biomedical engineering. In 2008, he was appointed as Director Institute of Information and Communication Technology (IICT) which he continued till 201. He served as a Dean, Faculty of Electrical, Electronics, & Computer Engineering from 2011 to 2018. Having vast international exposure as he remained Guest Scientist/Associate of the ICTP (under umbrella of UNESCO/UNU), Trieste Italy for Twelve (12) Years and three times European Union Erasmus Mundus Fellow. In the capacity of Guest Scientist/Associate, he visited the UNESCO/UNU ICTP, Trieste Italy for more than 18 months in 8 different intervals to attend international workshops and carry out research in Italian Labs. Under these Fellowships, he delivered Keynote lectures in Italy, England, Ireland, USA, France, Germany, Malaysia, China, Singapore, Pakistan, Spain, Cyprus, Norway, Bahrain, UAE, Thailand and Switzerland.




· Guest Editor (s):

· Dr. Jorge Luis Victória Barbosa,

Professor, Applied Computing Graduate Program, University of Vale do Rio dos Sinos, Unisinos, Brazil.

Jorge Barbosa received his BS degrees in Data Processing Technology (1990) and Electrical Engineering (1991) from the Catholic University of Pelotas, Brazil. He obtained his MS and Ph.D. degrees in Computer Science from the Federal University of Rio Grande do Sul (UFRGS), Brazil, in 1996 and 2002, respectively. He conducted post-doctoral studies at Sungkyunkwan University (SKKU, Suwon, South Korea, 2016) and University of California Irvine (UCI, Irvine, USA, 2020). Nowadays, he is a full professor of Applied Computing Graduate Program (PPGCA) at the University of Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil. Additionally, he is a researcher of productivity at CNPq (the Brazilian Council for Scientific and Technological Development) and head of the Mobile Computing Laboratory (MobiLab/UNISINOS). His research interests are Ubiquitous Computing, Ambient Intelligence, Big Data, Internet of Things (IoT), Machine Learning, Data Analysis, Games Development, Context Histories, Context Prediction mainly through similarity and pattern analysis, Applied Computing in Health, Accessibility, Learning, Industry and Agriculture. He is a member of the Brazilian Computer Society (SBC).





· Guest Editor (s):

· Dr. Vandana Roy

Professor in Electronics and Communication Department in Gyan Ganga college of Technology and Sciences, Jabalpur, India.

Dr. Vandana Roy is working as a Professor in Electronics and Communication Department in Gyan Ganga college of Technology and Sciences, Jabalpur. She has 05 years of Industrial experience and 16 years of teaching and research experience. She has awarded her doctorate degree in biomedical signal processing in 2018 from RGPV, Bhopal. She has received B.E. degree in Electronics and communication engineering from RGPV, Jabalpur in 2001 and the M. Tech. degree in Digital Communication from Rajiv Gandhi Technical University, Bhopal in 2010. Her research interests are Communication, Image processing, Bio-medical Signal Processing, Machine learning and Wireless Network. She has published more than 46 Research papers in International/National Journals and conferences. 08 research papers are published in SCIE journals. She is actively serving as a Reviewer in Various IEEE, Springer,IGI Global International Publishers Journals and also Editorial Board Member of many reputed Journals.



· Guest Editor (s):

· Dr. Ciro Rodriguez,

Professor, National University Mayor de San Marcos, Lima, Peru.

Ciro Rodriguez is associated with the Department of Software Engineering at National University Mayor de San Marcos and associated with the Department of Informatics Engineering and Electronics at National University Federico Villarreal. He has completed his Doctoral studies in System Engineering and has advanced studies at the Institute of Theoretical Physics ICTP of Italy, in the United States Particle Accelerator School USPAS, and Information Technology Development Policy Studies Korea Telecom KT in South Korea. His research interests include Artificial Intelligence, Health-Social Welfare, Environment, Cybersecurity, and photonics. He has published over 100 research articles in reputed journals indexed in Scopus, WoS, and IEEE, and filed two patents in engineering fields. Recently published the book "Variables in the research methodology".