Novel finger movement classification method based on multi-centered binary pattern using surface electromyogram signals

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2021.103153 ◽

2022 ◽

Vol 71 ◽

pp. 103153

Author(s):

Turker Tuncer ◽

Sengul Dogan ◽

Abdulhamit Subasi

Keyword(s):

Classification Method ◽

Finger Movement ◽

Surface Electromyogram ◽

Movement Classification

Download Full-text

A Study of Finger Movement Classification Based On 2-sEMG Channels

2020 7th NAFOSTED Conference on Information and Computer Science (NICS) ◽

10.1109/nics51282.2020.9335895 ◽

2020 ◽

Author(s):

Thuy Le - Nguyen Thi ◽

Phuc Viet Ho ◽

Tuan Van Huynh

Keyword(s):

Finger Movement ◽

Movement Classification

Download Full-text

Finger Movement Classification for an Electrocorticographic BCI

2007 3rd International IEEE/EMBS Conference on Neural Engineering ◽

10.1109/cne.2007.369644 ◽

2007 ◽

Author(s):

Pradeep Shenoy ◽

Kai J. Miller ◽

Jeffrey G. Ojemann ◽

Rajesh P.N. Rao

Keyword(s):

Finger Movement ◽

Movement Classification

Download Full-text

Optimal Placement of Multi-Channels sEMG Electrod for Finger Movement Classification

Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering - ICBBE 2017 ◽

10.1145/3168776.3168802 ◽

2017 ◽

Author(s):

Direk Sueaseenak ◽

Thunchanok Uburi ◽

Paphawarin Tirasuwannarat

Keyword(s):

Optimal Placement ◽

Finger Movement ◽

Movement Classification

Download Full-text

Finger Movement Classification Based on Statistical and Frequency Features Extracted from Surface EMG Signals

2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2) ◽

10.1109/ic4me247184.2019.9036671 ◽

2019 ◽

Author(s):

Chyon Krishno Bhattachargee ◽

Niloy Sikder ◽

Md. Tariq Hasan ◽

Abdullah-Al Nahid

Keyword(s):

Surface Emg ◽

Finger Movement ◽

Frequency Features ◽

Movement Classification

Download Full-text

Optimal feature set for finger movement classification based on sEMG

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2018.8513436 ◽

2018 ◽

Author(s):

Ahmad A. Al-Taee ◽

Adel Al-Jumaily

Keyword(s):

Finger Movement ◽

Optimal Feature ◽

Movement Classification

Download Full-text

A robust myoelectric pattern recognition using online sequential extreme learning machine for finger movement classification

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2015.7320069 ◽

2015 ◽

Author(s):

Khairul Anam ◽

Adel Al-Jumaily

Keyword(s):

Pattern Recognition ◽

Extreme Learning Machine ◽

Finger Movement ◽

Learning Machine ◽

Movement Classification

Download Full-text

A novel extreme learning machine for dimensionality reduction on finger movement classification using sEMG

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) ◽

10.1109/ner.2015.7146750 ◽

2015 ◽

Author(s):

Khairul Anam ◽

Adel Al-Jumaily

Keyword(s):

Dimensionality Reduction ◽

Extreme Learning Machine ◽

Finger Movement ◽

Learning Machine ◽

Movement Classification

Download Full-text

Comparison of EEG Pattern Recognition of Motor Imagery for Finger Movement Classification

Proceeding of the Electrical Engineering Computer Science and Informatics ◽

10.11591/eecsi.v6.2014 ◽

2019 ◽

Vol 6 (1) ◽

Author(s):

Khairul Anam ◽

Mohammad Nuh ◽

Adel Al-Jumaily

Keyword(s):

Pattern Recognition ◽

Motor Imagery ◽

Finger Movement ◽

Eeg Pattern ◽

Eeg Pattern Recognition ◽

Movement Classification

Download Full-text

Comparison of EEG Pattern Recognition of Motor Imagery for Finger Movement Classification

2019 6th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) ◽

10.23919/eecsi48112.2019.8977037 ◽

2019 ◽

Author(s):

Khairul Anam ◽

Mohammad Nuh ◽

Adel Al-Jumaily

Keyword(s):

Pattern Recognition ◽

Motor Imagery ◽

Finger Movement ◽

Eeg Pattern ◽

Eeg Pattern Recognition ◽

Movement Classification

Download Full-text

A novel statistical decimal pattern-based surface electromyogram signal classification method using tunable q-factor wavelet transform

Soft Computing ◽

10.1007/s00500-020-05205-y ◽

2020 ◽

Author(s):

Sengul Dogan ◽

Turker Tuncer

Keyword(s):

Wavelet Transform ◽

Signal Classification ◽

Classification Method ◽

Q Factor ◽

Surface Electromyogram ◽

Surface Electromyogram Signal

Download Full-text