Biomedical Robots and Devices in Healthcare
Opportunities and Challenges for Future Applications
- 1st Edition - November 14, 2024
- Latest edition
- Editors: Faiz Iqbal, Pushpendra Gupta, Vidyapati Kumar, Dilip Kumar Pratihar
- Language: English
Biomedical Robots and Devices in Healthcare: Opportunities and Challenges for Future Applications explores recent advances and challenges involved in using these techniques in hea… Read more
- Provides a comprehensive overview of the current state-of-the-art in biomedical robotics and devices, including a discussion of the various types of devices and robots that are being developed and used in healthcare settings
- Highlights the role of computational intelligence techniques such as artificial intelligence, machine learning, Fuzzy Logic, and evolutionary algorithms in the design, development, and the use of biomedical robots and devices, offering insights and guidance to professionals and students on these technologies
- Explores the potential future developments and trends in the field of biomedical robotics and devices and their implications for healthcare professionals and patients, providing a valuable resource for those looking to stay up-to-date on advancements in the field
Thomas Gaskins, Pushpendra Gupta, Vidyapati Kumar, DK Pratihar, Faiz Iqbal
2 Application of Multi-Bistatic Frequency-Domain Measurements for Enhanced Medical Sensing and Imaging
Behnaz Sohani*, Amir Rahmani, Aliyu Aliyu
3 Mathematics in Biomedical Robotics and Devices: Opportunities, Challenges, and Potential Impact on Healthcare Delivery
Mo Sadique, Sapna Ratan Shah, Sardar M N Islam*
4 Sensor-enabled Sleep Posture Analysis: State-of-the-art and Opportunities of Wearable Technologies from Clinical, Sensing and Intelligent Perception Perspectives
Omar Elnaggar, Andrew Hopkinson, Frans Coenen, Paolo Paoletti
5 Advancing Ankle-Foot Orthosis Design through Biomechanics, Robotics, and Additive Manufacturing: A Review
Vidyapati Kumar, Pushpendra Gupta, DK Pratihar
6 Comparative Evaluation of Deep Learning Techniques for Multi-Stage Alzheimer's Prediction from Magnetic Resonance Images
Pushpendra Gupta, Pradeep Nahak, Vidyapati Kumar, Dilip Kumar Pratihar*, Kalyanmoy Deb
7 Machine Learning Brain Activation Topography for Individual Skill Classification – Need for Leave One Subject Out (LOSO) Cross Validation
Takahiro Manabe, Anirban Dutta
8 Transfer Learning based Disease Prognosis in Biomedicine 4.0: Challenges, and Opportunities
Senthil Kumar Jagatheesaperumal, Sivasankar Ganesan
9 Advancements in Biomedical devices: A Comprehensive Review
M Ubaid, M Shadab Ahmad, Shanay Rab, Yebing Tian, Faiz Iqbal
10 Voice and chatbot a hybrid framework using XAI for mental health
Debmitra Ghosh*, Sayani Ghatak, Hrithik Paul
11 Wearable Sensors : The pathway to applications of on-body electronics
Viktorija Makarovaite*, Robert Horne
- Edition: 1
- Latest edition
- Published: November 14, 2024
- Language: English
FI
Faiz Iqbal
PG
Pushpendra Gupta
VK
Vidyapati Kumar
Vidyapati Kumar is a Ph.D. Research Scholar in the Department of Mechanical Engineering at the Indian Institute of Technology Kharagpur, specializing in AI-driven Rehabilitation Robotics, Biomechatronics, and Assistive Prosthetic Systems. His research focuses on intelligent prosthetic control, wearable biomedical devices, and advanced sensor fusion techniques, including electromyography (EMG), inertial measurement units (IMU), and force-sensitive resistors (FSR), aimed at enhancing mobility and improving quality of life for individuals with physical impairments.
He holds a Master’s degree in Production Engineering from Jadavpur University and a Bachelor’s degree in Mechanical Engineering from the West Bengal University of Technology (WBUT). Prior to his doctoral studies, he served as a GATE Faculty member for Unacademy and worked as a Project Assistant at the Central Institute of Mining and Fuel Research.
Vidyapati Kumar has published multiple papers in high-impact SCI and Scopus-indexed journals. His research interests include prosthetic design, medical artificial intelligence, explainability methods in AI/ML such as SHAP and LIME, optimization, and multi-criteria decision-making. He actively pursues interdisciplinary collaborations in biomedical robotics, wearable assistive devices, and advanced healthcare technologies.
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