599
Views
54
CrossRef citations to date
0
Altmetric
Articles

Extracting Salient Features for EEG-based Diagnosis of Alzheimer's Disease Using Support Vector Machine Classifier

&

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (3)

B. Venkata Phanikrishna, Allam Jaya Prakash & Chinara Suchismitha. (2023) Deep Review of Machine Learning Techniques on Detection of Drowsiness Using EEG Signal. IETE Journal of Research 69:6, pages 3104-3119.
Read now
Bhupendra Singh Kirar, Dheeraj Kumar Agrawal & Seema Kirar. (2022) Glaucoma Detection Using Image Channels and Discrete Wavelet Transform. IETE Journal of Research 68:6, pages 4421-4428.
Read now
Sourav Kundu & Samit Ari. (2018) P300 Detection with Brain–Computer Interface Application Using PCA and Ensemble of Weighted SVMs. IETE Journal of Research 64:3, pages 406-414.
Read now

Articles from other publishers (51)

Hanife Göker & Mustafa Tosun. (2023) Fast Walsh–Hadamard transform and deep learning approach for diagnosing psychiatric diseases from electroencephalography (EEG) signals. Neural Computing and Applications 35:32, pages 23617-23630.
Crossref
Zülfikar Aslan. (2023) A Novel Computer-Aided Diagnostic System for Alzheimer’s Diagnosis Using Variational Mode Decomposition Method. Circuits, Systems, and Signal Processing.
Crossref
Islam A. Fouad & Fatma El-Zahraa M. Labib. (2023) Identification of Alzheimer’s disease from central lobe EEG signals utilizing machine learning and residual neural network. Biomedical Signal Processing and Control 86, pages 105266.
Crossref
Alexandra-Maria Tăuƫan, Elias P. Casula, Maria Concetta Pellicciari, Ilaria Borghi, Michele Maiella, Sonia Bonni, Marilena Minei, Martina Assogna, Annalisa Palmisano, Carmelo Smeralda, Sara M. Romanella, Bogdan Ionescu, Giacomo Koch & Emiliano Santarnecchi. (2023) TMS-EEG perturbation biomarkers for Alzheimer’s disease patients classification. Scientific Reports 13:1.
Crossref
Eduardo Perez-Valero, Christian Morillas, Miguel A. Lopez-Gordo & Jesus Minguillon. (2023) Supporting the Detection of Early Alzheimer’s Disease with a Four-Channel EEG Analysis. International Journal of Neural Systems 33:04.
Crossref
Digambar V. Puri, Sanjay L. Nalbalwar, Anil B. Nandgaonkar, Jayanand P. Gawande & Abhay Wagh. (2023) Automatic detection of Alzheimer’s disease from EEG signals using low-complexity orthogonal wavelet filter banks. Biomedical Signal Processing and Control 81, pages 104439.
Crossref
Seyed-Ali Sadegh-Zadeh, Elham Fakhri, Mahboobe Bahrami, Elnaz Bagheri, Razieh Khamsehashari, Maryam Noroozian & Amir M. Hajiyavand. (2023) An Approach toward Artificial Intelligence Alzheimer’s Disease Diagnosis Using Brain Signals. Diagnostics 13:3, pages 477.
Crossref
Andreas Miltiadous, Emmanouil Gionanidis, Katerina D. Tzimourta, Nikolaos Giannakeas & Alexandros T. Tzallas. (2023) DICE-Net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals. IEEE Access 11, pages 71840-71858.
Crossref
Mahin Tasnimi & Hamid Reza Ghaffari. (2022) Diagnosis of anomalies based on hybrid features extraction in thyroid images. Multimedia Tools and Applications 82:3, pages 3859-3877.
Crossref
Ezgi Fide, Hasan Polat, Görsev Yener & Mehmet Siraç Özerdem. (2022) Effects of Pharmacological Treatments in Alzheimer’s Disease: Permutation Entropy-Based EEG Complexity Study. Brain Topography 36:1, pages 106-118.
Crossref
P. Saroja & N. J. Nalini. 2023. Computational Methods and Data Engineering. Computational Methods and Data Engineering 519 531 .
R. Gnanasai & K. Vidhya. (2022) Detection of brain neurological disorders with Electroencephalogram signals using Random Forest classifier comparing with Linear Discriminant Analysis classifier. Detection of brain neurological disorders with Electroencephalogram signals using Random Forest classifier comparing with Linear Discriminant Analysis classifier.
Ozlem Karabiber Cura, Aydin Akan, Gulce Cosku Yilmaz & Hatice Sabiha Ture. (2022) Detection of Alzheimer’s Dementia by Using Signal Decomposition and Machine Learning Methods. International Journal of Neural Systems 32:09.
Crossref
Zahra Khalilzad, Yasmina Kheddache & Chakib Tadj. (2022) An Entropy-Based Architecture for Detection of Sepsis in Newborn Cry Diagnostic Systems. Entropy 24:9, pages 1194.
Crossref
Eduardo Perez-Valero, Christian Morillas, Miguel A. Lopez-Gordo, Ismael Carrera-Muñoz, Samuel López-Alcalde & Rosa M. Vílchez-Carrillo. (2022) An Automated Approach for the Detection of Alzheimer's Disease From Resting State Electroencephalography. Frontiers in Neuroinformatics 16.
Crossref
Sameer Quazi. (2022) Artificial intelligence and machine learning in precision and genomic medicine. Medical Oncology 39:8.
Crossref
Zülfikar ASLAN. (2022) EEG sinyallerini kullanarak Alzheimer hastalığının otomatik tespiti için bilgisayar destekli tanı sistemi. DÜMF Mühendislik Dergisi.
Crossref
Eduardo Perez-Valero, Miguel Ángel Lopez-Gordo, Christian Morillas Gutiérrez, Ismael Carrera-Muñoz & Rosa M. Vílchez-Carrillo. (2022) A self-driven approach for multi-class discrimination in Alzheimer's disease based on wearable EEG. Computer Methods and Programs in Biomedicine 220, pages 106841.
Crossref
Daniele Pirrone, Emanuel Weitschek, Primiano Di Paolo, Simona De Salvo & Maria Cristina De Cola. (2022) EEG Signal Processing and Supervised Machine Learning to Early Diagnose Alzheimer’s Disease. Applied Sciences 12:11, pages 5413.
Crossref
Vahid Asayesh, Mahdi Dehghani, Majid Torabi & Sepideh Akhtari-Khosroshahi. (2022) Transfer learning using deep convolutional neural network for predicting dementia severity. Transfer learning using deep convolutional neural network for predicting dementia severity.
Xuemei Li, Tao Zhou & Shi Qiu. (2022) Alzheimer's Disease Analysis Algorithm Based on No-threshold Recurrence Plot Convolution Network. Frontiers in Aging Neuroscience 14.
Crossref
D. T. Mane, Mehul Patel, Madhavi Sawant, Karina Maiyani & Divya Patil. 2022. Data Engineering for Smart Systems. Data Engineering for Smart Systems 639 650 .
Eduardo Perez-Valero, Jesus Minguillon, Christian Morillas, Francisco Pelayo & Miguel A. Lopez-Gordo. 2022. Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications. Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications 436 445 .
Maham Saeidi, Waldemar Karwowski, Farzad V. Farahani, Krzysztof Fiok, Redha Taiar, P. A. Hancock & Awad Al-Juaid. (2021) Neural Decoding of EEG Signals with Machine Learning: A Systematic Review. Brain Sciences 11:11, pages 1525.
Crossref
Chetan Balaji & D. S. Suresh. (2021) Multiclass recognition of Alzheimer’s and Parkinson’s disease using various machine learning techniques: A study. International Journal of Modeling, Simulation, and Scientific Computing.
Crossref
G. Anuradha & D. N. Jamal. (2021) Classification of Dementia in EEG with a Two-Layered Feed Forward Artificial Neural Network. Engineering, Technology & Applied Science Research 11:3, pages 7135-7139.
Crossref
Katerina D. Tzimourta, Vasileios Christou, Alexandros T. Tzallas, Nikolaos Giannakeas, Loukas G. Astrakas, Pantelis Angelidis, Dimitrios Tsalikakis & Markos G. Tsipouras. (2021) Machine Learning Algorithms and Statistical Approaches for Alzheimer’s Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review. International Journal of Neural Systems 31:05, pages 2130002.
Crossref
Morteza Amini, Mir Mohsen Pedram, AliReza Moradi & Mahshad Ouchani. (2021) Diagnosis of Alzheimer’s Disease by Time-Dependent Power Spectrum Descriptors and Convolutional Neural Network Using EEG Signal. Computational and Mathematical Methods in Medicine 2021, pages 1-17.
Crossref
Eduardo Perez-Valero, Miguel A. Lopez-Gordo, Christian Morillas, Francisco Pelayo & Miguel A. Vaquero-Blasco. (2021) A Review of Automated Techniques for Assisting the Early Detection of Alzheimer’s Disease with a Focus on EEG. Journal of Alzheimer's Disease 80:4, pages 1363-1376.
Crossref
Rodrigo San-Martin, Erin Johns, Godofredo Quispe Mamani, Guilherme Tavares, Natalie A. Phillips & Francisco J. Fraga. (2021) A method for diagnosis support of mild cognitive impairment through EEG rhythms source location during working memory tasks. Biomedical Signal Processing and Control 66, pages 102499.
Crossref
Mehrnoosh Sadat Safi & Seyed Mohammad Mehdi Safi. (2021) Early detection of Alzheimer’s disease from EEG signals using Hjorth parameters. Biomedical Signal Processing and Control 65, pages 102338.
Crossref
Riyaj Uddin Khan, Mohammad Tanveer & Ram Bilas Pachori. (2020) A novel method for the classification of Alzheimer ' s disease from normal controls using magnetic resonance imaging . Expert Systems 38:1.
Crossref
Burcu Oltu, Mehmet Feyzi Akşahin & Seda Kibaroğlu. (2021) A novel electroencephalography based approach for Alzheimer’s disease and mild cognitive impairment detection. Biomedical Signal Processing and Control 63, pages 102223.
Crossref
Fernando Piñal-Moctezuma, Miguel Delgado-Prieto & Luis Romeral-Martínez. (2020) An acoustic emission activity detection method based on short-term waveform features: Application to metallic components under uniaxial tensile test. Mechanical Systems and Signal Processing 142, pages 106753.
Crossref
Yuling Li, Shasha Xiao, Yingjie Li, Yunxia Li & Banghua Yang. (2020) Classification of Mild Cognitive Impairment from multi-domain features of resting-state EEG. Classification of Mild Cognitive Impairment from multi-domain features of resting-state EEG.
Sou Nobukawa, Teruya Yamanishi, Shinya Kasakawa, Haruhiko Nishimura, Mitsuru Kikuchi & Tetsuya Takahashi. (2020) Classification Methods Based on Complexity and Synchronization of Electroencephalography Signals in Alzheimer’s Disease. Frontiers in Psychiatry 11.
Crossref
Cosimo Ieracitano, Nadia Mammone, Amir Hussain & Francesco C. Morabito. (2020) A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia. Neural Networks 123, pages 176-190.
Crossref
M. Tanveer, B. Richhariya, R. U. Khan, A. H. Rashid, P. Khanna, M. Prasad & C. T. Lin. (2020) Machine Learning Techniques for the Diagnosis of Alzheimer’s Disease. ACM Transactions on Multimedia Computing, Communications, and Applications 16:1s, pages 1-35.
Crossref
Xuqing Chai. (2020) Diagnosis Method of Thyroid Disease Combining Knowledge Graph and Deep Learning. IEEE Access 8, pages 149787-149795.
Crossref
Nilesh Kulkarni, Anuradha Salvi & Saurabh Parhad. 2020. Advances in Computational Intelligence and Informatics. Advances in Computational Intelligence and Informatics 331 339 .
Aarti Sharma, J. K. Rai & R. P. Tewari. (2019) Detection of Alzheimer's Disease at Mild Cognitive Impairment Stage using EEG Signals. Detection of Alzheimer's Disease at Mild Cognitive Impairment Stage using EEG Signals.
Katerina D. Tzimourta, Nikolaos Giannakeas, Alexandros T. Tzallas, Loukas G. Astrakas, Theodora Afrantou, Panagiotis Ioannidis, Nikolaos Grigoriadis, Pantelis Angelidis, Dimitrios G. Tsalikakis & Markos G. Tsipouras. (2019) EEG Window Length Evaluation for the Detection of Alzheimer’s Disease over Different Brain Regions. Brain Sciences 9:4, pages 81.
Crossref
Chao Wang, Jin Xu, Songzhen Zhao & Wutao Lou. (2019) Identification of Early Vascular Dementia Patients With EEG Signal. IEEE Access 7, pages 68618-68627.
Crossref
Aarti Sharma, J. K. Rai & R. P. Tewari. 2019. Advances in Computing and Data Sciences. Advances in Computing and Data Sciences 95 103 .
Vinayak Bairagi & Sanket Kulkarni. 2019. Advances in Information and Communication Networks. Advances in Information and Communication Networks 671 684 .
Raymundo Cassani, Mar Estarellas, Rodrigo San-Martin, Francisco J. Fraga & Tiago H. Falk. (2018) Systematic Review on Resting-State EEG for Alzheimer’s Disease Diagnosis and Progression Assessment. Disease Markers 2018, pages 1-26.
Crossref
Aarti Sharma, J. K. Rai & R. P. Tewari. (2018) Relative Measures to Characterize EEG Signals for Early Detection of Alzheimer. Relative Measures to Characterize EEG Signals for Early Detection of Alzheimer.
Ali H. Husseen Al-Nuaimi, Emmanuel Jammeh, Lingfen Sun & Emmanuel Ifeachor. (2018) Complexity Measures for Quantifying Changes in Electroencephalogram in Alzheimer’s Disease. Complexity 2018, pages 1-12.
Crossref
Nilesh Kulkarni & Vinayak Bairagi. 2018. EEG-Based Diagnosis of Alzheimer Disease. EEG-Based Diagnosis of Alzheimer Disease 73 96 .
Nilesh Kulkarni & Vinayak Bairagi. 2018. EEG-Based Diagnosis of Alzheimer Disease. EEG-Based Diagnosis of Alzheimer Disease 47 59 .
Nilesh Kulkarni & Vinayak Bairagi. 2018. EEG-Based Diagnosis of Alzheimer Disease. EEG-Based Diagnosis of Alzheimer Disease 37 46 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.