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024 7 _ |a 10.1080/03091902.2020.1713238
|2 doi
024 7 _ |a pmid:31971037
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024 7 _ |a 0309-1902
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024 7 _ |a 1464-522X
|2 ISSN
037 _ _ |a DZNE-2020-00409
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Sintotskiy, G.
|0 P:(DE-HGF)0
|b 0
|e Corresponding author
245 _ _ |a In-ear-EEG - a portable platform for home monitoring.
260 _ _ |a Abingdon
|c 2020
|b Taylor & Francis Group
264 _ 1 |3 online
|2 Crossref
|b Informa UK Limited
|c 2020-01-23
264 _ 1 |3 print
|2 Crossref
|b Informa UK Limited
|c 2020-01-02
336 7 _ |a article
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336 7 _ |a Journal Article
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336 7 _ |a ARTICLE
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336 7 _ |a JOURNAL_ARTICLE
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336 7 _ |a Journal Article
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520 _ _ |a There are many useful medical treatment devices today, which are indispensable in health care. However, in some emergency situations and in prehospital care mobile, easy-to-use devices could further improve the patient-centred care. For example, a mobile, easy-to-use home-monitoring EEG-system would be useful for monitoring diseases like epilepsy and for treating diseases like attention deficit disorder (ADHD) using biofeedback. Such a device should be equipped with the ability to start self-performed by user recordings and provide high signal quality, while having an affordable price. Here, we used in-ear-EEG technology and state of the art electronic components to develop such a system. This paper presents a portable, all-in-one EEG-system, capable to record biosignals on the external ear. An amplifier was developed with ADS1299 and optimised to be coupled with a smartphone. The system has a low price and at the same time provides high signal quality, has very effective common-mode-rejection, performs a fast cold start and shows low power consumptions which ensures a long time of operation. The system is easy to use and could be self-mounted and controlled by unskilled users as well. Results of test measurements are compared to a conventional EEG-System and show comparable records results quality.
536 _ _ |a 344 - Clinical and Health Care Research (POF3-344)
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|f POF III
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588 _ _ |a Dataset connected to CrossRef, PubMed,
650 _ 2 |a Attention Deficit Disorder with Hyperactivity: physiopathology
|2 MeSH
650 _ 2 |a Electroencephalography: methods
|2 MeSH
650 _ 2 |a Epilepsy: physiopathology
|2 MeSH
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Smartphone
|2 MeSH
700 1 _ |a Hinrichs, H.
|0 P:(DE-2719)2000009
|b 1
|e Last author
|u dzne
773 1 8 |a 10.1080/03091902.2020.1713238
|b : Informa UK Limited, 2020-01-02
|n 1
|p 26-37
|3 journal-article
|2 Crossref
|t Journal of Medical Engineering & Technology
|v 44
|y 2020
|x 0309-1902
773 _ _ |a 10.1080/03091902.2020.1713238
|g Vol. 44, no. 1, p. 26 - 37
|0 PERI:(DE-600)2007120-6
|n 1
|p 26-37
|t Journal of medical engineering & technology
|v 44
|y 2020
|x 0309-1902
909 C O |o oai:pub.dzne.de:145049
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910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
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913 1 _ |a DE-HGF
|b Forschungsbereich Gesundheit
|l Erkrankungen des Nervensystems
|1 G:(DE-HGF)POF3-340
|0 G:(DE-HGF)POF3-344
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|v Clinical and Health Care Research
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914 1 _ |y 2020
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999 C 5 |a 10.1371/journal.pone.0086733
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999 C 5 |a 10.1038/srep45567
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999 C 5 |a 10.7717/peerj.38
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999 C 5 |a 10.7717/peerj.907
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|t mHealth. New horizons for health through mobile technologies
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