2017
Sapounaki, Maria; Polychronou, Ioanna; Gkonta, Maria; Vogiatzoglou, Angeliki; Kakarountas, Athanasios
Wearable Panic Attack Detection System Proceedings Article
In: Proceedings of the 21st Pan-Hellenic Conference on Informatics, pp. 1–2, 2017.
@inproceedings{sapounaki2017wearable,
title = {Wearable Panic Attack Detection System},
author = {Maria Sapounaki and Ioanna Polychronou and Maria Gkonta and Angeliki Vogiatzoglou and Athanasios Kakarountas},
year = {2017},
date = {2017-01-01},
booktitle = {Proceedings of the 21st Pan-Hellenic Conference on Informatics},
pages = {1--2},
keywords = {Embedded Systems, Health, Wearable System},
pubstate = {published},
tppubtype = {inproceedings}
}
Boumpa, Eleni; Charalampou, Ioanna; Gkogkidis, Anargyros; Kakarountas, Athanasios
Home Assistive System for Dementia Proceedings Article
In: Proceedings of the 21st Pan-Hellenic Conference on Informatics, pp. 1–6, 2017.
@inproceedings{boumpa2017home,
title = {Home Assistive System for Dementia},
author = {Eleni Boumpa and Ioanna Charalampou and Anargyros Gkogkidis and Athanasios Kakarountas},
year = {2017},
date = {2017-01-01},
booktitle = {Proceedings of the 21st Pan-Hellenic Conference on Informatics},
pages = {1--6},
keywords = {Active Assisted Living, Dementia, Health, Smart Devices},
pubstate = {published},
tppubtype = {inproceedings}
}
2014
Kakarountas, A
Disappearing computing for elderly assisted living Proceedings Article
In: 2014 4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH), pp. 36-38, 2014.
@inproceedings{7015903,
title = {Disappearing computing for elderly assisted living},
author = {A Kakarountas},
doi = {10.1109/MOBIHEALTH.2014.7015903},
year = {2014},
date = {2014-01-01},
booktitle = {2014 4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH)},
pages = {36-38},
keywords = {Active Assisted Living, Embedded Systems, Health, Smart Home, Systems},
pubstate = {published},
tppubtype = {inproceedings}
}
2012
Kakarountas, Athanasios; Mavridis, Ilias
Efficient Exploitation of Parallel Computing on the Server-Side of Health Organizations' Intranet for Distributing Medical Images to Smart Devices Proceedings Article
In: Nikita, Konstantina S; Lin, James C; Fotiadis, Dimitrios I; Waldmeyer, Maria-Teresa Arredondo (Ed.): Wireless Mobile Communication and Healthcare, pp. 394–398, Springer Berlin Heidelberg, Berlin, Heidelberg, 2012, ISBN: 978-3-642-29734-2.
@inproceedings{10.1007/978-3-642-29734-2_54,
title = {Efficient Exploitation of Parallel Computing on the Server-Side of Health Organizations' Intranet for Distributing Medical Images to Smart Devices},
author = {Athanasios Kakarountas and Ilias Mavridis},
editor = {Konstantina S Nikita and James C Lin and Dimitrios I Fotiadis and Maria-Teresa Arredondo Waldmeyer},
isbn = {978-3-642-29734-2},
year = {2012},
date = {2012-01-01},
booktitle = {Wireless Mobile Communication and Healthcare},
pages = {394--398},
publisher = {Springer Berlin Heidelberg},
address = {Berlin, Heidelberg},
abstract = {The distribution of high-resolution medical images to smart devices, in a health organization premises, is considered in this work. The aim is to reduce network traffic and computation load (of the smart devices). Security issues are also considered. The approach takes full advantage of the parallel processing on medical images performed on the server side, exploiting GPGPUs processing power. Data are pre-calculated and modified to best fit the targeted smart device's display. The evaluation results show minimization on processing requirements at the smart device, while network traffic is reduced significantly when few actions are performed on the image.},
keywords = {Health, security},
pubstate = {published},
tppubtype = {inproceedings}
}
The distribution of high-resolution medical images to smart devices, in a health organization premises, is considered in this work. The aim is to reduce network traffic and computation load (of the smart devices). Security issues are also considered. The approach takes full advantage of the parallel processing on medical images performed on the server side, exploiting GPGPUs processing power. Data are pre-calculated and modified to best fit the targeted smart device's display. The evaluation results show minimization on processing requirements at the smart device, while network traffic is reduced significantly when few actions are performed on the image.
