Comparison of Some Methods for the Elderly Patient Telemonitoring System
Corresponding Author(s) : Hendra Setiawan
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control,
Vol 3, No 3, August 2018
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- United Nations, "Department of Economic and Social Affairs, Population Division", World Population Prospects: The 2017 Revision, Key Findings and Advance Tables. Working Paper No. ESA/P/WP/248, 2017.
- Söhretoglu, D., & Arroo, R. R. J. "Dietary Flavonoids and The Prevention of Degenerative Diseases". Studium Press LLC, USA, 2015.
- Dallolio, et. al. 2008. "Functional and clinical outcomes of telemedicine in patients with spinal cord injury", Archives of Physical Medicine and Rehabilitation, vol. 89, Issue: 12, pp. 2332–2341, 2008.
- K.H. Bowles, dan A.C. Baugh. "Applying research evidence to optimize telehomecare". J. Cardiovasc Nurs, 22(1), pp. 5–15, 2007.
- Mubashir, M., Shao, L., & Seed, L. "A survey on fall detection: Principles and approaches". Neurocomputing, 100, pp.144-152, 2013.
- Rougier, C., Meunier, J., St-Arnaud, A., & Rousseau, J. "3D head tracking for fall detection using a single calibrated camera". Image and Vision Computing, 31(3), pp.246-254, 2013.
- Dubois, A., & Charpillet, F. "Automatic fall detection system with a RGB-D camera using a hidden Markov model". In International Conference on Smart Homes and Health Telematics, pp. 259-266. Springer, Berlin, Heidelberg, 2013.
- Castillo, J. C., Carneiro, D., Serrano-Cuerda, J., Novais, P., Fernández-Caballero, A., & Neves, J. "A multi-modal approach for activity classification and fall detection". International Journal of Systems Science, 45(4), pp.810-824, 2014.
- Bevilacqua, V., Nuzzolese, N., Barone, D., Pantaleo, M., Suma, M., D'Ambruoso, D., Volpe, A., Loconsole, C. and Stroppa, F. "Fall detection in indoor environment with kinect sensor". In Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014 IEEE International Symposium on, pp. 319-324, 2014.
- Ye, Z., Li, Y., Zhao, Q., & Liu, X. "A falling detection system with wireless sensor for the elderly people based on ergonomics". International Journal of Smart Home, 8(1), pp.187-196, 2014.
- Bian, Z. P., Hou, J., Chau, L. P., & Magnenat-Thalmann, N. "Fall detection based on body part tracking using a depth camera". IEEE journal of biomedical and health informatics, 19(2), pp. 430-439, 2015.
- M.G. Amin, M. G., Zhang, Y. D., Ahmad, F., & Ho, K. D. "Radar signal processing for elderly fall detection: The future for in-home monitoring". IEEE Signal Processing Magazine, 33(2), pp.71-80, 2016.
- Dias, P. V. G., Costa, E. D. M., Tcheou, M. P., & Lovisolo, L. (2016). "Fall detection monitoring system with position detection for elderly at indoor environments under supervision". In Communications (LATINCOM), 8th IEEE Latin-American Conference on, pp. 1-6, 2016.
- Wang, Y., Wu, K., & Ni, L. M. "Wifall: Device-free fall detection by wireless networks". IEEE Transactions on Mobile Computing, 16(2), pp.581-594, 2017.
- Santiago, J., Cotto, E., Jaimes, L. G., & Vergara-Laurens, I. "Fall detection system for the elderly". In Computing and Communication Workshop and Conference (CCWC), 2017 IEEE 7th Annual, pp. 1-4, 2017.
- Saadeh, W., Altaf, M. A. B., & Altaf, M. S. B. "A high accuracy and low latency patient-specific wearable fall detection system". In Biomedical & Health Informatics (BHI), 2017 IEEE EMBS International Conference on, pp. 441-444, 2017.
- Hwang, S., Ahn, D., Park, H., & Park, T. (2017). "Maximizing Accuracy of Fall Detection and Alert Systems Based on 3D Convolutional Neural Network". In Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, pp. 343-344, ACM, 2017.
- Ozcan, K., Velipasalar, S., & Varshney, P. K. "Autonomous Fall Detection With Wearable Cameras by Using Relative Entropy Distance Measure". IEEE Transactions on Human-Machine Systems, 47(1), pp.31-39, 2017.
- Erol, B., Amin, M. G., & Boashash, B. "Range-Doppler radar sensor fusion for fall detection". In Radar Conference (RadarConf), 2017 IEEE, pp. 0819-0824, 2017.
References
United Nations, "Department of Economic and Social Affairs, Population Division", World Population Prospects: The 2017 Revision, Key Findings and Advance Tables. Working Paper No. ESA/P/WP/248, 2017.
Söhretoglu, D., & Arroo, R. R. J. "Dietary Flavonoids and The Prevention of Degenerative Diseases". Studium Press LLC, USA, 2015.
Dallolio, et. al. 2008. "Functional and clinical outcomes of telemedicine in patients with spinal cord injury", Archives of Physical Medicine and Rehabilitation, vol. 89, Issue: 12, pp. 2332–2341, 2008.
K.H. Bowles, dan A.C. Baugh. "Applying research evidence to optimize telehomecare". J. Cardiovasc Nurs, 22(1), pp. 5–15, 2007.
Mubashir, M., Shao, L., & Seed, L. "A survey on fall detection: Principles and approaches". Neurocomputing, 100, pp.144-152, 2013.
Rougier, C., Meunier, J., St-Arnaud, A., & Rousseau, J. "3D head tracking for fall detection using a single calibrated camera". Image and Vision Computing, 31(3), pp.246-254, 2013.
Dubois, A., & Charpillet, F. "Automatic fall detection system with a RGB-D camera using a hidden Markov model". In International Conference on Smart Homes and Health Telematics, pp. 259-266. Springer, Berlin, Heidelberg, 2013.
Castillo, J. C., Carneiro, D., Serrano-Cuerda, J., Novais, P., Fernández-Caballero, A., & Neves, J. "A multi-modal approach for activity classification and fall detection". International Journal of Systems Science, 45(4), pp.810-824, 2014.
Bevilacqua, V., Nuzzolese, N., Barone, D., Pantaleo, M., Suma, M., D'Ambruoso, D., Volpe, A., Loconsole, C. and Stroppa, F. "Fall detection in indoor environment with kinect sensor". In Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014 IEEE International Symposium on, pp. 319-324, 2014.
Ye, Z., Li, Y., Zhao, Q., & Liu, X. "A falling detection system with wireless sensor for the elderly people based on ergonomics". International Journal of Smart Home, 8(1), pp.187-196, 2014.
Bian, Z. P., Hou, J., Chau, L. P., & Magnenat-Thalmann, N. "Fall detection based on body part tracking using a depth camera". IEEE journal of biomedical and health informatics, 19(2), pp. 430-439, 2015.
M.G. Amin, M. G., Zhang, Y. D., Ahmad, F., & Ho, K. D. "Radar signal processing for elderly fall detection: The future for in-home monitoring". IEEE Signal Processing Magazine, 33(2), pp.71-80, 2016.
Dias, P. V. G., Costa, E. D. M., Tcheou, M. P., & Lovisolo, L. (2016). "Fall detection monitoring system with position detection for elderly at indoor environments under supervision". In Communications (LATINCOM), 8th IEEE Latin-American Conference on, pp. 1-6, 2016.
Wang, Y., Wu, K., & Ni, L. M. "Wifall: Device-free fall detection by wireless networks". IEEE Transactions on Mobile Computing, 16(2), pp.581-594, 2017.
Santiago, J., Cotto, E., Jaimes, L. G., & Vergara-Laurens, I. "Fall detection system for the elderly". In Computing and Communication Workshop and Conference (CCWC), 2017 IEEE 7th Annual, pp. 1-4, 2017.
Saadeh, W., Altaf, M. A. B., & Altaf, M. S. B. "A high accuracy and low latency patient-specific wearable fall detection system". In Biomedical & Health Informatics (BHI), 2017 IEEE EMBS International Conference on, pp. 441-444, 2017.
Hwang, S., Ahn, D., Park, H., & Park, T. (2017). "Maximizing Accuracy of Fall Detection and Alert Systems Based on 3D Convolutional Neural Network". In Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, pp. 343-344, ACM, 2017.
Ozcan, K., Velipasalar, S., & Varshney, P. K. "Autonomous Fall Detection With Wearable Cameras by Using Relative Entropy Distance Measure". IEEE Transactions on Human-Machine Systems, 47(1), pp.31-39, 2017.
Erol, B., Amin, M. G., & Boashash, B. "Range-Doppler radar sensor fusion for fall detection". In Radar Conference (RadarConf), 2017 IEEE, pp. 0819-0824, 2017.