Early Detection of risk of autism spectrum disorder based on recurrence quantification analysis of electroencephalographic signals
Early detection of autism spectrum disorder (ASD) in infants is vital in maximizing the impact and potential long-term outcomes of early delivery of rehabilitative therapies. To date no definitive diagnostic test for ASD exists. Electroencephalography is a noninvasive method used to capture underlyi...
| Main Authors: | , , , |
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| Format: | Conference Paper |
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The Printing House
2013
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/43673 |
| _version_ | 1848756770323824640 |
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| author | Pistorius, T Aldrich, Chris Auret, Lidia Pineda, J |
| author2 | IEEE/EMBS |
| author_facet | IEEE/EMBS Pistorius, T Aldrich, Chris Auret, Lidia Pineda, J |
| author_sort | Pistorius, T |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Early detection of autism spectrum disorder (ASD) in infants is vital in maximizing the impact and potential long-term outcomes of early delivery of rehabilitative therapies. To date no definitive diagnostic test for ASD exists. Electroencephalography is a noninvasive method used to capture underlying electrical changes in brain activity. This proof-of-concept study suggests that recurrence quantification analysis features computed from resting state spontaneous eyes-closed electroencephalographic (EEG) signals may be useful biomarkers for early detection of risk of ASD. |
| first_indexed | 2025-11-14T09:17:28Z |
| format | Conference Paper |
| id | curtin-20.500.11937-43673 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:17:28Z |
| publishDate | 2013 |
| publisher | The Printing House |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-436732017-09-13T13:39:38Z Early Detection of risk of autism spectrum disorder based on recurrence quantification analysis of electroencephalographic signals Pistorius, T Aldrich, Chris Auret, Lidia Pineda, J IEEE/EMBS rehabilitative therapies noninvasive EEG Early detection of autism spectrum disorder (ASD) in infants is vital in maximizing the impact and potential long-term outcomes of early delivery of rehabilitative therapies. To date no definitive diagnostic test for ASD exists. Electroencephalography is a noninvasive method used to capture underlying electrical changes in brain activity. This proof-of-concept study suggests that recurrence quantification analysis features computed from resting state spontaneous eyes-closed electroencephalographic (EEG) signals may be useful biomarkers for early detection of risk of ASD. 2013 Conference Paper http://hdl.handle.net/20.500.11937/43673 10.1109/NER.2013.6695906 The Printing House restricted |
| spellingShingle | rehabilitative therapies noninvasive EEG Pistorius, T Aldrich, Chris Auret, Lidia Pineda, J Early Detection of risk of autism spectrum disorder based on recurrence quantification analysis of electroencephalographic signals |
| title | Early Detection of risk of autism spectrum disorder based on recurrence quantification analysis of electroencephalographic signals |
| title_full | Early Detection of risk of autism spectrum disorder based on recurrence quantification analysis of electroencephalographic signals |
| title_fullStr | Early Detection of risk of autism spectrum disorder based on recurrence quantification analysis of electroencephalographic signals |
| title_full_unstemmed | Early Detection of risk of autism spectrum disorder based on recurrence quantification analysis of electroencephalographic signals |
| title_short | Early Detection of risk of autism spectrum disorder based on recurrence quantification analysis of electroencephalographic signals |
| title_sort | early detection of risk of autism spectrum disorder based on recurrence quantification analysis of electroencephalographic signals |
| topic | rehabilitative therapies noninvasive EEG |
| url | http://hdl.handle.net/20.500.11937/43673 |