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Mendeley readers
| Chapter title |
Automatic Epileptic Seizures Detection and EEG Signals Classification Based on Multi-domain Feature Extraction and Multiscale Entropy Analysis
|
|---|---|
| Chapter number | 14 |
| Book title |
Signal Processing Techniques for Computational Health Informatics
|
| Published by |
Springer, Cham, January 2021
|
| DOI | 10.1007/978-3-030-54932-9_14 |
| Book ISBNs |
978-3-03-054931-2, 978-3-03-054932-9
|
| Authors |
Md. Abu Sayem, Md. Sohel Rana Sarker, Md Atiqur Rahman Ahad, Mosabber Uddin Ahmed |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 22% |
| Lecturer | 1 | 11% |
| Other | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Student > Ph. D. Student | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 3 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 44% |
| Chemistry | 1 | 11% |
| Computer Science | 1 | 11% |
| Unknown | 3 | 33% |