Abstract
Although EEG is intended to record cerebral activity, extra-cerebral activities from sites other than the brain are also recorded. Extraneous activities, known as artifacts, are generated by biological and non-biological sources. Knowing the difference between true cerebral activity and extraneous artifacts is critical in the interpretation of neonatal EEG. And, because artifacts can mimic true brain activity, responsibility lies on neurologists and anyone designing EEG-based systems to sift the "wheat from the chaff'. It is their duty to be able to recognize artifacts and to remove or reduce their influence so that effective detection of seizures can be achieved. We propose few artifact removal techniques and we evaluate their efficiency in enhancing the detection of neonatal seizures. Our detection method is based on the matching pursuit (MP) using a coherent time-frequency (TF) dictionary. Evaluation of 35 neonatal EEG records indicated an 18.3% increase in detection accuracy when artifact removal techniques were implemented.
| Original language | English |
|---|---|
| Title of host publication | 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 |
| Pages | 500-503 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 - Kuala Lumpur, Malaysia Duration: May 10 2010 → May 13 2010 |
Other
| Other | 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010 |
|---|---|
| Country | Malaysia |
| City | Kuala Lumpur |
| Period | 5/10/10 → 5/13/10 |
Fingerprint
Keywords
- Artifacts
- EEG
- Matching pursuit
- Seizure
- Time-frequency
ASJC Scopus subject areas
- Computer Science Applications
- Information Systems
- Signal Processing
Cite this
Influence of EEG artifacts on detecting neonatal seizure. / Khlif, M. S.; Mesbah, M.; Boashash, B.; Colditz, P.
10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010. 2010. p. 500-503 5605604.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Influence of EEG artifacts on detecting neonatal seizure
AU - Khlif, M. S.
AU - Mesbah, M.
AU - Boashash, B.
AU - Colditz, P.
PY - 2010
Y1 - 2010
N2 - Although EEG is intended to record cerebral activity, extra-cerebral activities from sites other than the brain are also recorded. Extraneous activities, known as artifacts, are generated by biological and non-biological sources. Knowing the difference between true cerebral activity and extraneous artifacts is critical in the interpretation of neonatal EEG. And, because artifacts can mimic true brain activity, responsibility lies on neurologists and anyone designing EEG-based systems to sift the "wheat from the chaff'. It is their duty to be able to recognize artifacts and to remove or reduce their influence so that effective detection of seizures can be achieved. We propose few artifact removal techniques and we evaluate their efficiency in enhancing the detection of neonatal seizures. Our detection method is based on the matching pursuit (MP) using a coherent time-frequency (TF) dictionary. Evaluation of 35 neonatal EEG records indicated an 18.3% increase in detection accuracy when artifact removal techniques were implemented.
AB - Although EEG is intended to record cerebral activity, extra-cerebral activities from sites other than the brain are also recorded. Extraneous activities, known as artifacts, are generated by biological and non-biological sources. Knowing the difference between true cerebral activity and extraneous artifacts is critical in the interpretation of neonatal EEG. And, because artifacts can mimic true brain activity, responsibility lies on neurologists and anyone designing EEG-based systems to sift the "wheat from the chaff'. It is their duty to be able to recognize artifacts and to remove or reduce their influence so that effective detection of seizures can be achieved. We propose few artifact removal techniques and we evaluate their efficiency in enhancing the detection of neonatal seizures. Our detection method is based on the matching pursuit (MP) using a coherent time-frequency (TF) dictionary. Evaluation of 35 neonatal EEG records indicated an 18.3% increase in detection accuracy when artifact removal techniques were implemented.
KW - Artifacts
KW - EEG
KW - Matching pursuit
KW - Seizure
KW - Time-frequency
UR - http://www.scopus.com/inward/record.url?scp=78650278530&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650278530&partnerID=8YFLogxK
U2 - 10.1109/ISSPA.2010.5605604
DO - 10.1109/ISSPA.2010.5605604
M3 - Conference contribution
SN - 9781424471676
SP - 500
EP - 503
BT - 10th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA 2010
ER -