% % This file was created by the TYPO3 extension % bib % --- Timezone: UTC % Creation date: 2024-10-06 % Creation time: 17-33-58 % --- Number of references % 3 % @Inproceedings { 2015-wirtz-secon, title = {Enabling Ubiquitous Interaction with Smart Things}, year = {2015}, month = {6}, day = {24}, pages = {256-264}, tags = {maki}, url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2015/2015-wirtz-secon-stif.pdf}, web_url = {http://www.comsys.rwth-aachen.de/short/secon15-stif}, misc2 = {Online}, publisher = {IEEE}, booktitle = {12th IEEE International Conference on Sensing, Communication, and Networking (SECON 2015), Seattle, USA}, event_place = {Seattle, USA}, event_name = {12th IEEE International Conference on Sensing, Communication, and Networking (SECON 2015)}, event_date = {22.06.2015 - 25.06.2015}, language = {en}, DOI = {10.1109/SAHCN.2015.7338324}, reviewed = {1}, author = {Wirtz, Hanno and R{\"u}th, Jan and Serror, Martin and Zimmermann, Torsten and Wehrle, Klaus} } @Inproceedings { 2015-bitsch-phealth-piap, title = {Psychologist in a Pocket: Towards Depression Screening on Mobile Phones}, year = {2015}, month = {6}, day = {2}, volume = {211}, pages = {153 --159}, abstract = {Depression is the most prevalent clinical disorder and one of the main causes of disability. This makes early detection of depressive symptoms critical in its prevention and management. This paper presents and discusses the development of Psychologist in a Pocket (PiaP), a mental mHealth application for Android which screens and monitors for these symptoms, and–given the explicit permission of the user–alerts a trusted contact such as the mental health professional or a close friend, if it detects symptoms. All text inputted electronically–such as short message services, emails, social network posts–is analyzed based on keywords related to depression based on DSM-5 and ICD criteria as well as Beck's Cognitive Theory of Depression and the Self-Focus Model. Data evaluation and collection happen in the background, on- device, without requiring any user involvement. Currently, the application is in an early prototype phase entering initial clinical validation.}, url = {fileadmin/papers/2015/2015-bitsch-phealth-piap.pdf}, misc = {Print}, editor = {Blobel, Bernd and Lind{\'e}n, Maria and Ahmed, Mobyen Uddin}, publisher = {IOS Press}, address = {Amsterdam}, series = {Studies in Health Technology and Informatics}, booktitle = {Proceedings of the 12th International Conference on Wearable Micro and Nano Technologies for Personalized Health}, event_place = {V{\"a}ster{\aa}s, Sweden}, event_name = {12th International Conference on Wearable Micro and Nano Technologies for Personalized Health}, event_date = {June 2-4, 2015}, language = {en}, ISBN = {978-1-61499-515-9}, ISSN = {0926-9630}, DOI = {10.3233/978-1-61499-516-6-153}, reviewed = {1}, author = {Bitsch Link, J{\'o} Agila and Ramos, Roann and Ix, Tim and Ferrer Cheng, Paula Glenda and Wehrle, Klaus} } @Inproceedings { 2015-bitsch-phealth-brain, title = {Towards Brain Research in a Pocket: Bringing EEG Research and Diagnostics out of the Lab}, year = {2015}, month = {6}, day = {2}, volume = {211}, pages = {185 -- 190}, abstract = {Bringing brain research tools like EEG devices out of the lab into the pockets of practitioners and researchers may fundamentally change the way we perform diagnostics and research. While most of the current techniques are limited to research clinics and require excessive set-up, new consumer EEG devices connected to standard, off-the-shelf mobile devices allow us to lift these limitations. This allows neuropsychological assessment and research in mobile settings, possibly even in remote areas with limited accessibility and infrastructure, thus bringing the equip- ment to the patient, instead of bringing the patient to the equipment. We are developing an Android based mobile framework to perform EEG studies. By connecting a mobile consumer EEG headset directly to an unmodified mobile device, presenting auditory and visual stimuli, as well as user interaction, we create a self-contained experimental plat- form. We complement this platform by a toolkit for immediate evalua- tion of the recorded data directly on the device, even without internet connectivity. Initial results from the replication of two Event Related Potentials studies indicate the feasibility of the approach.}, url = {fileadmin/papers/2015/2015-bitsch-phealth-brain.pdf}, misc = {Print}, editor = {Blobel, Bernd and Lind{\'e}n, Maria and Ahmed, Mobyen Uddin}, publisher = {IOS Press}, address = {Amsterdam}, series = {Studies in Health Technology and Informatics}, booktitle = {Proceedings of the 12th International Conference on Wearable Micro and Nano Technologies for Personalized Health}, event_place = {V{\"a}ster{\aa}s, Sweden}, event_name = {12th International Conference on Wearable Micro and Nano Technologies for Personalized Health}, event_date = {June 2-4, 2015}, language = {en}, ISBN = {978-1-61499-515-9}, ISSN = {0926-9630}, DOI = {10.3233/978-1-61499-516-6-185}, reviewed = {1}, author = {Bitsch Link, J{\'o} Agila and Ramos, Roann and Severijns, Cassandra and Wehrle, Klaus} }