New prospects for biomedical and healthcare engineering are being created by the rapid development of Robotic and Artificial Intelligence techniques. Innovative technologies such as Artificial Intelligence, Deep Learning, Robotics, and IoT are currently under huge influence in today’s modern world. For instance, a micro-nano robot allows us to study the fundamental problems at a cellular scale owing to its precise positioning and manipulation ability; the medical robot paves a new way for the low-invasive and high-eﬃcient clinical operation, and rehabilitation robotics is able to improve the rehabilitative eﬃcacy of patients. This book aims at exhibiting the latest research achievements, ﬁndings, and ideas in the ﬁeld of robotics in biomedical and healthcare engineering, primarily focusing on the walking assistive robot, telerobotic surgery, upper/lower limb rehabilitation, and radiosurgery. As a result, a wide range of robots are being developed to serve a variety of roles within the medical environment. Robots specializing in human treatment include surgical robots and rehabilitation robots. The field of assistive and therapeutic robotic devices is also expanding rapidly. These include robots that help patients rehabilitate from severe conditions like strokes, empathic robots that assist in the care of older or physically/mentally challenged individuals, and industrial robots that take on a variety of routine tasks, such as sterilizing rooms and delivering medical supplies and equipment, including medications. The objectives of the book are in terms of advancing the state-of-the-art of robotic techniques and addressing the challenging problems in biomedical and healthcare engineering. This book
- Lays a good foundation for the core concepts and principles of robotics in biomedical and healthcare engineering, walking the reader through the fundamental ideas with expert ease.
- Progresses on the topics in a step-by-step manner and reinforces theory with a full-fledged pedagogy designed to enhance students’ understanding and offer them a practical insight into the applications of it.
- Features chapters that introduce and cover novel ideas in healthcare engineering like Applications of Robots in Surgery, Microrobots and Nanorobots in Healthcare Practices, Intelligent Walker for Posture Monitoring, AI-Powered Robots in Biomedical and Hybrid Intelligent Systems for Medical Diagnosis, and so on.
Deepak Gupta is an Assistant Professor at the Maharaja Agrasen Institute of Technology, GGSIPU, Delhi, India.
Moolchand Sharma is an Assistant Professor at the Maharaja Agrasen Institute of Technology, GGSIPU, Delhi, India.
Vikas Chaudhary is a Professor at the JIMS Engineering Management Technical Campus, GGSIPU, Greater Noida, India.
Ashish Khanna currently works at the Maharaja Agrasen Institute of Technology, GGSIPU, Delhi, India.
Chapter 1 IoT-Integrated Robotics in the Health Sector
[Rehab A. Rayan, Christos Tsagkaris, and Imran Zafar]
Chapter 2 Microrobots and Nanorobots in the Refinement of Modern
[Aditya Srivastava, Aparna Seth, and Kalpna Katiyar]
Chapter 3 Communicable Diseases and COVID-19: A Complementary and
Holistic Care with Robotic Renaissance
Chapter 4 ASBGo: A Smart Walker for Ataxic Gait and Posture
Assessment, Monitoring, and Rehabilitation
[João M. Lopes, João André, António Pereira, Manuel Palermo,
Nuno Ribeiro, João Cerqueira, and Cristina P. Santos]
Chapter 5 Analyzing and Comparing MLP, CNN, and LSTM for
Classification of Heart Arrhythmia Using ECG Scans
[Eva Sarin, Soham Taneja, Vividha, and Preeti Nagrath]
Chapter 6 AI-Powered Robotics and COVID-19: Challenges and
[Kajol Mohanty, Subiksha S., Kirthikka S., Sujal B. H.,
Sumathi Sokkanarayanan, Panjavarnam Bose, and
Chapter 7 Analyze App Health for Ensuring Better Decision-Making and
Improved Secure Outcomes
Chapter 8 Intelligent Robots in the Disease Recovery Process
Using a Whale Optimization-Based Feature Selection and
[Denis A. Pustokhin, Irina V. Pustokhina, Eswaran Perumal,
and K. Shankar]
Chapter 9 Biomedical Healthcare Robot Movement Control Using an
EEG-Based Brain–Computer Interface with an Optimized
Kernel Extreme Learning Machine
[S. Stephe and T. Jayasankar]