# One dimensional convolutional neural networks for seizure onset detection using long-term scalp and intracranial EEG

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/one-dimensional-convolutional-neural-networks-for-seizure-onset-detection-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xiaoshuang Wang,Xiulin Wang,Wenya Liu,Zheng Chang,Tommi Kärkkäinen,Fengyu Cong |
| Citations | 132 |
| DOI | 10.1016/j.neucom.2021.06.048 |
| Fields | Computer Science,Medicine,Neuroscience |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.sciencedirect.com/science/article/pii/S0925231221009723/pdf |
| OpenAlex ID | https://openalex.org/W3177432079 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Tommi Kärkkäinen](https://scholariq.org/researchers/tommi-karkkainen/)

## Paper primary topic

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

## Paper topics

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Blind Source Separation Techniques](https://scholariq.org/topics/blind-source-separation-techniques/)
- [ECG Monitoring and Analysis](https://scholariq.org/topics/ecg-monitoring-and-analysis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.