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Angana Saikia
Angana Saikia
Assistant Professor, Neurosciences and Neuropsychology, Amity University, Noida
Verified email at nehu.ac.in - Homepage
Title
Cited by
Cited by
Year
Recent advancements in prosthetic hand technology
A Saikia, S Mazumdar, N Sahai, S Paul, D Bhatia, S Verma, PK Rohilla
Journal of medical engineering & technology 40 (5), 255-264, 2016
402016
Deep learning and its importance for early signature of neuronal disorders
S Paul, JK Verma, A Datta, RN Shaw, A Saikia
2018 4th International Conference on Computing Communication and Automation …, 2018
152018
EEG-EMG correlation for Parkinson’s disease
A Saikia, M Hussain, AR Barua, S Paul
International Journal of Engineering and Advanced Technology 8 (6), 1179-85, 2019
142019
Combination of EMG features and stability index for finger movements recognition
A Saikia, NM Kakoty, N Phukan, M Balakrishnan, N Sahai, S Paul, ...
Procedia computer science 133, 92-98, 2018
122018
Performance analysis of artificial neural network for hand movement detection from EMG signals
A Saikia, S Mazumdar, N Sahai, S Paul, D Bhatia
IETE Journal of Research 68 (2), 1-10, 2019
112019
Importance of dopamine in Parkinson’s disease
A Saikia, P Bhattacharya, S Paul
Adv. Tissue Eng. Regen. Med. Open Access 4, 2018
82018
Comparative study and feature extraction of the muscle activity patterns in healthy subjects
A Saikia, S Mazumdar, N Sahai, S Paul, D Bhatia
2016 3rd International Conference on Signal Processing and Integrated …, 2016
82016
An insight into Parkinson’s disease: researches and its complexities
A Saikia, M Hussain, AR Barua, S Paul
Smart Healthcare for Disease Diagnosis and Prevention, 59-80, 2020
72020
Significance of Lyapunov Exponent in Parkinson's Disease Using Electroencephalography
A Saikia, M Hussain, AR Barua, S Paul
2019 6th International Conference on Signal Processing and Integrated …, 2019
72019
Tremor Identification Using Machine Learning in Parkinson's Disease
A Saikia, V Majhi, M Hussain, S Paul, A Datta
Early Detection of Neurological Disorders Using Machine Learning Systems …, 2019
72019
Deep learning in computational neuroscience
S Saxena, S Paul, A Garg, A Saikia, A Datta
Challenges and Applications for Implementing Machine Learning in Computer …, 2020
62020
Determination of significant muscle in movement of upper limb using maximum voluntary contraction of EMG signal
S Mazumdar, A Saikia, N Sahai, S Paul, D Bhatia
2017 4th International Conference on Signal Processing and Integrated …, 2017
62017
Performance analysis of various neural network functions for Parkinson’s disease classification using EEG and EMG
A Saikia, M Hussain, AR Barua, S Paul
Int. J. Innov. Technol. Explor. Eng 9, 3402-3406, 2019
52019
A Systematic review on Application based Parkinson’s disease Detection Systems
A Saikia, V Majhi, M Hussain, S Paul
International Journal on Emerging Technologies 10 (3), 166-173, 2019
52019
Machine Learning based Diagnostic System for Early Detection of Parkinson’s Disease
A Saikia, V Majhi, M Hussain, S Paul, JK Verma
2020 International Conference on Computational Performance Evaluation (ComPE …, 2020
42020
Application of deep learning for eeg
A Saikia, S Paul
Handbook of Research on Advancements of Artificial Intelligence in …, 2020
42020
Comprehensive review on deep learning for neuronal disorders: applications of deep learning
V Majhi, A Saikia, A Datta, A Sinha, S Paul
International Journal of Natural Computing Research (IJNCR) 9 (1), 27-44, 2020
42020
Material selection for the prosthetic hand
PV Rohilla, B Suresh, S Dinesh, P Nitin, S Sudip, MS Angana
International Journal of Biomedical Engineering 3 (1), 2017
32017
Below Elbow Prosthetic: A Path to Independent Era
A Saikia, S Mazumdar, N Sahai, S Paul
Int. J. Adv. Inf. Sci. Technol 34, 2015
32015
EEG signal processing and its classification for rehabilitation device control
A Saikia, S Paul
Application of biomedical engineering in neuroscience, 173-196, 2019
22019
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