2021

  • M. Gaiduk, L. Weber, Á. Serrano Alarcón, R. Seepold, N. Martínez Madrid, S. Orcioni, and M. Conti, "Design of a sleep apnoea detection system for a home environment," Procedia Computer Science, vol. 192, pp. 3225-3234, 2021/01/01/ 2021, doi: https://doi.org/10.1016/j.procs.2021.09.095.
  • S. Orcioni, F. Di Nardo, S. Fioretti, M. Conti, R. Seepold, M. Gaiduk, and N. Martínez Madrid, "Preliminary results of homomorphic deconvolution application to surface EMG signals during walking," Procedia Computer Science, vol. 192, pp. 3272-3280, 2021/01/01/ 2021, doi: https://doi.org/10.1016/j.procs.2021.09.100.
  • Á. Troncoso, J. A. Ortega, R. Seepold, and N. Martínez Madrid, "Non-invasive devices for respiratory sound monitoring," Procedia Computer Science, vol. 192, pp. 3040-3048, 2021/01/01/ 2021, doi: https://doi.org/10.1016/j.procs.2021.09.076
  • K. Koshechkin, G. Lebedev, G. Radzievsky, R. Seepold, and N. Martínez Madrid, "Blockchain Technology Projects to Provide Telemedical Services: Systematic Review," Journal of Medical Internet Research, vol. 23, no. 8, pp. e17475-e17475, 2021/8/18 2021, doi: 10.2196/17475.
  • R. Seepold, M. Gaiduk, and D. W. Scherz, "Home Health Systems: conception and implementation results," in Grenzüberschreitende Reallabore für Assistenztechnik, G. Kempter and W. Ritter Eds. Lengerich: Pabst Science Publishers, 2021
  • M. Gaiduk, R. Seepold, and N. Martínez Madrid, "Development of Health Systems for Home Environments with the Focus on Sleep Monitoring," in Grenzüberschreitende Reallabore für Assistenztechnik, G. Kempter and W. Ritter Eds. Lengerich: Pabst Science Publishers, 2021
  • M. Gaiduk, R. Seepold, and L. Weber, "Digital Technologies for Accessible Tourism," in Grenzüberschreitende Reallabore für Assistenztechnik, G. Kempter and W. Ritter Eds. Lengerich: Pabst Science Publishers, 2021
  • M. Gaiduk, R. Seepold, N. Martínez Madrid, J. A. Ortega, M. Conti, S. Orcioni, T. Penzel, W. D. Scherz, J. J. Perea, Á. S. Alarcón, and G. Weiss, "A Comparison of Objective and Subjective Sleep Quality Measurement in a Group of Elderly Persons in a Home Environment," Cham, 2021: Springer International Publishing, in Applications in Electronics Pervading Industry, Environment and Society, pp. 286-291, doi: 10.1007/978-3-030-66729-0_35.
  • Y. Shkilniuk, M. Gaiduk, and R. Seepold, "Unobtrusive Accelerometer-Based Heart Rate Detection," Cham, 2021: Springer International Publishing, in Applications in Electronics Pervading Industry, Environment and Society, pp. 49-54, doi: 10.1007/978-3-030-66729-0_6.
  • L. Weber, M. Gaiduk, W. D. Scherz, and R. Seepold, "Cardiac Abnormality Detection in 12-lead ECGs With Deep Convolutional Neural Networks Using Data Augmentation," in Computing in Cardiology Conference (CinC), 2020, vol. 47, 2021, pp. 1-4, doi: 10.22489/CinC.2020.229.
  • S. Orcioni, R. Pellegrini, R. Seepold, M. Gaiduk, N. Martínez Madrid, and M. Conti, "Medication adherence supported by mHealth and NFC," Informatics in Medicine Unlocked, vol. 23, p. 12, 2021/01/01/ 2021, doi: https://doi.org/10.1016/j.imu.2021.100552.
  • Á. Serrano Alarcón, N. Martínez Madrid, and R. Seepold, "A Minimum Set of Physiological Parameters to Diagnose Obstructive Sleep Apnea Syndrome Using Non-Invasive Portable Monitors. A Systematic Review," Life, vol. 11, no. 11, p. 1249, 2021. [Online]. Available: https://doi.org/10.3390/life11111249
  • M. Gaiduk, R. Seepold, N. Martínez Madrid, and T. Penzel, "Identifikation von Schlaf- und Wachzuständen durch die Auswertung von Atem- und Bewegungssignalen," Somnologie, ISSN 1432-9123, vol. 25, 2021, doi: 10.1007/s11818-021-00328-2 
  • L. Weber, M. Gaiduk, R. Seepold, and T. Penzel, "Einsatz rekurrenter neuronaler Netze als unabhängige Verbesserung bereits trainierter Algorithmen zur Erkennung von Schlafphasen," Somnologie, ISSN 1432-9123, vol. 25, 2021, doi: 10.1007/s11818-021-00328-2
  • M. Gaiduk, R. Seepold, N. Martínez Madrid, J. A. Ortega, "Digital health and care study on elderly monitoring", Sustainability, 13, no. 23, 13376, 2021, doi: 10.3390/su132313376
  • L. Weber, M. Gaiduk, R. Seepold, N. Martínez Madrid, M. Glos, and T. Penzel, "Enhancing Current Cardiorespiratory-based Approaches of Sleep Stage Classification by Temporal Feature Stacking," in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 1-5 Nov. 2021 2021, pp. 5518-5522, doi: 10.1109/EMBC46164.2021.9630743