@InProceedings{8553261,
  author = {A. S. Janani and T. S. Grummett and H. Bakhshayesh and T. W. Lewis and J. O. Willoughby and K. J. Pope},
  booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)},
  title = {How Many Channels are Enough? Evaluation of Tonic Cranial Muscle Artefact Reduction Using ICA with Different Numbers of EEG Channels},
  year = {2018},
  pages = {101-105},
  abstract = {Scalp electrical recordings, or electroencephalograms (EEG), are heavily contaminated by cranial and cervical muscle activity from as low as 20 hertz, even in relaxed conditions. It is therefore necessary to reduce or remove this contamination to enable reliable exploration of brain neurophysiological responses. Scalp measurements record activity from many sources, including neural and muscular. Independent Component Analysis (ICA) produces components ideally corresponding to separate sources, but the number of components is limited by the number of EEG channels. In practice, at most 30% of components are cleanly separate sources. Increasing the number of channels results in more separate components, but with a significant increase in costs of data collection and computation. Here we present results to assist in selecting an appropriate number of channels. Our unique database of pharmacologically paralysed subjects provides a way to objectively compare different approaches to achieving an ideal, muscle free EEG recording. We evaluated an automatic muscle-removing approach, based on ICA, with different numbers of EEG channels: 21, 32, 64, and 115. Our results show that, for a fixed length of data, 21 channels is insufficient to reduce tonic muscle artefact, and that increasing the number of channels to 115 does result in better tonic muscle artefact reduction.},
  keywords = {electroencephalography;independent component analysis;medical signal processing;muscle;neurophysiology;source separation;tonic cranial muscle artefact reduction;ICA;EEG channels;scalp electrical recordings;cranial muscle activity;cervical muscle activity;relaxed conditions;contamination;brain neurophysiological responses;Independent Component Analysis;data collection;computation;muscle free EEG recording;automatic muscle-removing approach;tonic muscle artefact reduction;pharmacologically paralysed subjects;electroencephalograms;scalp measurements;frequency 20.0 Hz;Muscles;Electroencephalography;Task analysis;Electromyography;Cranial;Australia;Pollution measurement;Independent Component Analysis;muscle reduction;number of channels;electroencephalogram;electromyogram},
  doi = {10.23919/EUSIPCO.2018.8553261},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570436901.pdf},
}

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J."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["A.","S."],"propositions":[],"lastnames":["Janani"],"suffixes":[]},{"firstnames":["T.","S."],"propositions":[],"lastnames":["Grummett"],"suffixes":[]},{"firstnames":["H."],"propositions":[],"lastnames":["Bakhshayesh"],"suffixes":[]},{"firstnames":["T.","W."],"propositions":[],"lastnames":["Lewis"],"suffixes":[]},{"firstnames":["J.","O."],"propositions":[],"lastnames":["Willoughby"],"suffixes":[]},{"firstnames":["K.","J."],"propositions":[],"lastnames":["Pope"],"suffixes":[]}],"booktitle":"2018 26th European Signal Processing Conference (EUSIPCO)","title":"How Many Channels are Enough? Evaluation of Tonic Cranial Muscle Artefact Reduction Using ICA with Different Numbers of EEG Channels","year":"2018","pages":"101-105","abstract":"Scalp electrical recordings, or electroencephalograms (EEG), are heavily contaminated by cranial and cervical muscle activity from as low as 20 hertz, even in relaxed conditions. It is therefore necessary to reduce or remove this contamination to enable reliable exploration of brain neurophysiological responses. Scalp measurements record activity from many sources, including neural and muscular. Independent Component Analysis (ICA) produces components ideally corresponding to separate sources, but the number of components is limited by the number of EEG channels. In practice, at most 30% of components are cleanly separate sources. Increasing the number of channels results in more separate components, but with a significant increase in costs of data collection and computation. Here we present results to assist in selecting an appropriate number of channels. Our unique database of pharmacologically paralysed subjects provides a way to objectively compare different approaches to achieving an ideal, muscle free EEG recording. We evaluated an automatic muscle-removing approach, based on ICA, with different numbers of EEG channels: 21, 32, 64, and 115. Our results show that, for a fixed length of data, 21 channels is insufficient to reduce tonic muscle artefact, and that increasing the number of channels to 115 does result in better tonic muscle artefact reduction.","keywords":"electroencephalography;independent component analysis;medical signal processing;muscle;neurophysiology;source separation;tonic cranial muscle artefact reduction;ICA;EEG channels;scalp electrical recordings;cranial muscle activity;cervical muscle activity;relaxed conditions;contamination;brain neurophysiological responses;Independent Component Analysis;data collection;computation;muscle free EEG recording;automatic muscle-removing approach;tonic muscle artefact reduction;pharmacologically paralysed subjects;electroencephalograms;scalp measurements;frequency 20.0 Hz;Muscles;Electroencephalography;Task analysis;Electromyography;Cranial;Australia;Pollution measurement;Independent Component Analysis;muscle reduction;number of channels;electroencephalogram;electromyogram","doi":"10.23919/EUSIPCO.2018.8553261","issn":"2076-1465","month":"Sep.","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570436901.pdf","bibtex":"@InProceedings{8553261,\n author = {A. S. Janani and T. S. Grummett and H. Bakhshayesh and T. W. Lewis and J. O. Willoughby and K. J. Pope},\n booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)},\n title = {How Many Channels are Enough? Evaluation of Tonic Cranial Muscle Artefact Reduction Using ICA with Different Numbers of EEG Channels},\n year = {2018},\n pages = {101-105},\n abstract = {Scalp electrical recordings, or electroencephalograms (EEG), are heavily contaminated by cranial and cervical muscle activity from as low as 20 hertz, even in relaxed conditions. It is therefore necessary to reduce or remove this contamination to enable reliable exploration of brain neurophysiological responses. Scalp measurements record activity from many sources, including neural and muscular. Independent Component Analysis (ICA) produces components ideally corresponding to separate sources, but the number of components is limited by the number of EEG channels. In practice, at most 30% of components are cleanly separate sources. Increasing the number of channels results in more separate components, but with a significant increase in costs of data collection and computation. Here we present results to assist in selecting an appropriate number of channels. Our unique database of pharmacologically paralysed subjects provides a way to objectively compare different approaches to achieving an ideal, muscle free EEG recording. We evaluated an automatic muscle-removing approach, based on ICA, with different numbers of EEG channels: 21, 32, 64, and 115. 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