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@ARTICLE{Sintotskiy:145049,
author = {Sintotskiy, G. and Hinrichs, H.},
title = {{I}n-ear-{EEG} - a portable platform for home monitoring.},
journal = {Journal of medical engineering $\&$ technology},
volume = {44},
number = {1},
issn = {0309-1902},
address = {Abingdon},
publisher = {Taylor $\&$ Francis Group},
reportid = {DZNE-2020-00409},
pages = {26-37},
year = {2020},
abstract = {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.},
keywords = {Attention Deficit Disorder with Hyperactivity:
physiopathology / Electroencephalography: methods /
Epilepsy: physiopathology / Humans / Smartphone},
cin = {U Clinical Researchers - Magdeburg},
ddc = {610},
cid = {I:(DE-2719)7000000},
pnm = {344 - Clinical and Health Care Research (POF3-344)},
pid = {G:(DE-HGF)POF3-344},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:31971037},
doi = {10.1080/03091902.2020.1713238},
url = {https://pub.dzne.de/record/145049},
}