@article{SeepoldGaidukOrtegaetal.,
  author    = {Seepold, Ralf and Gaiduk, Maksym and Ortega, Juan Antonio and Conti, Massimo and Orcioni, Simone and Mart{\´i}nez Madrid, Natividad},
  title     = {Home hospital e-health centers for barrier-free and cross-border telemedicine},
  series = {Intelligent Decision Technologies 2019, Proceedings of the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT 2019) - Volume 1 ; (Smart Innovation, Systems and Technologies ; 143)},
  edition   = {First online: 2 June 2019},
  publisher = {Springer},
  address   = {Singapore},
  isbn      = {978-981-13-8302-1},
  pages     = {307 -- 316},
  abstract  = {The goal of the presented project is to develop the concept of home ehealth centers for barrier-free and cross-border telemedicine. AAL technologies are already present on the market but there is still a gap to close until they can be used for ordinary patient needs. The general idea needs to be accompanied by new services, which should be brought together in order to provide a full coverage of service for the users. Sleep and stress were chosen as predominant diseases for a detailed study within this project because of their widespread influence in the population. The executed scientific study of available home devices analyzing sleep has provided the necessary to select appropriate devices. The first choice for the project implementation is the device EMFIT QS+. This equipment provides a part of a complete system that a home telemedical hospital can provide at a level of precision and communication with internal and/or external health services.},
  language  = {en}
}
@inproceedings{GaidukOrcioniContietal.,
  author    = {Gaiduk, Maksym and Orcioni, Simone and Conti, Massimo and Seepold, Ralf and Penzel, Thomas and Martinez Madrid, Natividad and Ortega, Juan Antonio},
  title     = {Embedded system for non-obtrusive sleep apnea detection},
  series = {42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC 2020), 20-24 July 2020, Montreal, QC, Canada, virtual},
  isbn      = {978-1-7281-1990-8},
  doi       = {10.1109/EMBC44109.2020.9176075},
  pages     = {2776 -- 2779},
  abstract  = {This document presents a new complete standalone system for a recognition of sleep apnea using signals from the pressure sensors placed under the mattress. The developed hardware part of the system is tuned to filter and to amplify the signal. Its software part performs more accurate signal filtering and identification of apnea events. The overall achieved accuracy of the recognition of apnea occurrence is 91\%, with the average measured recognition delay of about 15 seconds, which confirms the suitability of the proposed method for future employment. The main aim of the presented approach is the support of the healthcare system with the cost-efficient tool for recognition of sleep apnea in the home environment.},
  language  = {en}
}