Assistive Technology Intervention in Healthcare
Editat de Shruti Jain, Sudip Paulen Limba Engleză Paperback – 9 oct 2024
Features
- Covers the latest evolutionary approaches to solve optimization problems in the biomedical engineering field
- Explains machine learning–based approaches to improvement in health engineering areas
- Reviews the IoT, cloud computing and data analytics in healthcare informatics
- Discusses modeling and simulations in the design of biomedical equipment
- Explores monitoring of physiological data
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Specificații
ISBN-13: 9781032075983
ISBN-10: 1032075988
Pagini: 294
Ilustrații: 212
Dimensiuni: 152 x 229 mm
Greutate: 0.54 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States
ISBN-10: 1032075988
Pagini: 294
Ilustrații: 212
Dimensiuni: 152 x 229 mm
Greutate: 0.54 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States
Public țintă
AcademicCuprins
1.Detection of Scoliosis from anteroposterior X-Ray images
2.Review on Healthcare Management
3.IoT Technologies for Smart Healthcare
4.A Novel Design of Sequential and Combinational Circuits using Reversible Logic Synthesis
5.Denoising of biomedical images using two dimensional Fourier Bessel series expansion based empirical wavelet transform
6. Alert System for Epileptic Seizure
7.Early Diabetic Retinopathy Detection using Augmented continuous Particle Swarm Optimization Clustering
8.Computational Fluid Dynamics of Carotid Artery Blood Flow for Low Gravity Environment
9.Prediction of E-Signing of Loan Based on Financial Stats of Applicant using Machine Learning
10.Heel-end and Toe-end based Gait Kinematics of Female Young Adults: An Implication to Therapeutic Intervention
11.Blockchain based Electronic Health Record (EHR) system enforced by ensemble multi contract approach
12.EMG features as an indicator of muscle strength for the assessment of non-specific low back pain
13.IoT based Data Management and Self System for Public Healthcare
14. Biosensors in Healthcare
15.Early detection of Autism Spectrum Disorder using EEG, MRI and Behavioral data: A Review
2.Review on Healthcare Management
3.IoT Technologies for Smart Healthcare
4.A Novel Design of Sequential and Combinational Circuits using Reversible Logic Synthesis
5.Denoising of biomedical images using two dimensional Fourier Bessel series expansion based empirical wavelet transform
6. Alert System for Epileptic Seizure
7.Early Diabetic Retinopathy Detection using Augmented continuous Particle Swarm Optimization Clustering
8.Computational Fluid Dynamics of Carotid Artery Blood Flow for Low Gravity Environment
9.Prediction of E-Signing of Loan Based on Financial Stats of Applicant using Machine Learning
10.Heel-end and Toe-end based Gait Kinematics of Female Young Adults: An Implication to Therapeutic Intervention
11.Blockchain based Electronic Health Record (EHR) system enforced by ensemble multi contract approach
12.EMG features as an indicator of muscle strength for the assessment of non-specific low back pain
13.IoT based Data Management and Self System for Public Healthcare
14. Biosensors in Healthcare
15.Early detection of Autism Spectrum Disorder using EEG, MRI and Behavioral data: A Review
Notă biografică
Dr. Shruti Jain is an Associate Professor in the Department of Electronics and Communication Engineering at Jaypee University of Information Technology, Waknaghat, H.P, India and has received her Doctor of Science (D. Sc.) in Electronics and Communication Engineering. She has a teaching experience of around 16 years. She has filed five patents out of which one patent is granted and four are published. She has published more than 15 book chapters, and 100 research papers in reputed indexed journals and in international conferences. She has also published six books. She has completed two government-sponsored projects. She has guided 06 Ph.D. students and now has 02 registered students. She has also guided 11 M Tech scholars and more than 90 B Tech undergrads. Her research interests are Image and Signal Processing, Soft Computing, Bio-inspired Computing and Computer-Aided Design of FPGA and VLSI circuits. She is a senior member of IEEE, life member and Editor in Chief of Biomedical Engineering Society of India and a member of IAENG. She is a member of the Editorial Board of many reputed journals. She is also a reviewer of many journals and a member of TPC of different conferences. She was awarded by Nation Builder Award in 2018-19.
Dr. Sudip Paul is currently an Assistant Professor & Teacher In-Charge in the Department of Biomedical Engineering, School of Technology, North-Eastern Hill University (NEHU), Shillong, India. He completed his post-doctoral research at the School of Computer Science and Software Engineering, The University of Western Australia, Perth. He was one of the most prestigious fellowship awardees (Biotechnology Overseas Associateship for the Scientists working in the North Eastern States of India: 2017-18 supported by Department of Biotechnology, Government of India). He received his Ph.D. degree from the Indian Institute of Technology (Banaras Hindu University), Varanasi, with a specialization in Electrophysiology and brain signal analysis. He also organized many workshops and conferences, most significant are the IEEE Conference on Computational Performance Evaluation 2020; IRBO/APRC Associate School 2017 and the 29th Annual meeting of the Society for Neurochemistry, India 2015. Dr. Sudip published more than 40 International journal papers and more than 35 conference papers on different International / National platform. He filled eight patents and out of which one granted. He completed more than ten book projects in Springer Nature, Elsevier, IGI Global, etc. Dr. Sudip is a member of different Societies and professional bodies, including APSN, ISN, IBRO, SNCI, SfN, IEEE, IAS. He received many awards, especially the World Federation of Neurology (WFN) traveling fellowship, Young Investigator Award, IBRO Travel Awardee, and ISN Travel Awardee. Dr. Sudip also contributed his knowledge in different international journals as editorial board members and reviewers. He has presented his research accomplishments in many countries like- USA, Greece, France, South Africa, and Australia.
Dr. Sudip Paul is currently an Assistant Professor & Teacher In-Charge in the Department of Biomedical Engineering, School of Technology, North-Eastern Hill University (NEHU), Shillong, India. He completed his post-doctoral research at the School of Computer Science and Software Engineering, The University of Western Australia, Perth. He was one of the most prestigious fellowship awardees (Biotechnology Overseas Associateship for the Scientists working in the North Eastern States of India: 2017-18 supported by Department of Biotechnology, Government of India). He received his Ph.D. degree from the Indian Institute of Technology (Banaras Hindu University), Varanasi, with a specialization in Electrophysiology and brain signal analysis. He also organized many workshops and conferences, most significant are the IEEE Conference on Computational Performance Evaluation 2020; IRBO/APRC Associate School 2017 and the 29th Annual meeting of the Society for Neurochemistry, India 2015. Dr. Sudip published more than 40 International journal papers and more than 35 conference papers on different International / National platform. He filled eight patents and out of which one granted. He completed more than ten book projects in Springer Nature, Elsevier, IGI Global, etc. Dr. Sudip is a member of different Societies and professional bodies, including APSN, ISN, IBRO, SNCI, SfN, IEEE, IAS. He received many awards, especially the World Federation of Neurology (WFN) traveling fellowship, Young Investigator Award, IBRO Travel Awardee, and ISN Travel Awardee. Dr. Sudip also contributed his knowledge in different international journals as editorial board members and reviewers. He has presented his research accomplishments in many countries like- USA, Greece, France, South Africa, and Australia.
Descriere
Assistive Technology Intervention in Healthcare focuses on various applications of intelligent techniques in biomedical engineering and health informatics.