Localização em Tempo Real de Pacientes em Ambiente Domiciliar Utilizando Bluetooth Low Energy
Resumo
Uma consequência do aumento da população idosa no Brasil e da demanda de cuidados específicos com esse grupo etário é a criação de aplicações de monitoramento remoto de pacientes. Essa classe de aplicações tem o potencial de monitorar informações importantes para o cuidado do paciente em ambiente domiciliar, como seus dados fisiológicos e sua localização. Este artigo descreve os resultados de uma pesquisa conduzida a fim de identificar os métodos de localização interna (indoor) existentes e apresenta uma aplicação móvel criada para lidar com o monitoramento e o estabelecimento da posição do usuário por meio da utilização de beacons Bluetooth Low Energy (BLE). A aplicação foi validada em um ambiente de testes domiciliar típico a fim de verificar seus resultados em cenários próximos aos reais.
Palavras-chave:
População idosa, monitoramento remoto de pacientes, métodos, Bluetooth Low Energy (BLE)
Referências
Cay, E., Mert, Y., Bahcetepe, A., Akyazi, B. K., and Ogrenci, A. S. (2017). Beacons for indoor positioning. In 2017 International Conference on Engineering and Technology (ICET), pages 1–5. IEEE.
Cho, H., Ji, J., Chen, Z., Park, H., and Lee, W. (2015). Measuring a distance between things with improved accuracy. volume 52, pages 1083–1088. Elsevier.
Del Duca, G. F., Thumé, E., and Hallal, P. C. (2010). Prevaleˆncia e fatores associados ao cuidado domiciliar a idosos. volume 45, pages 113–120. SciELO Public Health.
Dickinson, P., Cielniak, G., Szymanezyk, O., and Mannion, M. (2016). Indoor positioning of shoppers using a network of bluetooth low energy beacons. In 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), pages 1–8. IEEE.
El Jaouhari, S., Bouabdallah, A., Bonnin, J.-M., and Lemlouma, T. (2017). Toward a smart health-care architecture using webrtc and wot. In World Conference on Informa- tion Systems and Technologies, pages 531–540. Springer.
Fil´ıpek, P. and Kovarova, A. (2016). Indoor localization based on beacons and calculated by particle filter. In Proceedings of the 17th International Conference on Computer Systems and Technologies 2016, CompSysTech ’16, pages 269–276, New York, NY, USA. ACM.
Hou, X. and Arslan, T. (2017). Monte carlo localization algorithm for indoor positioning using bluetooth low energy devices. In 2017 International Conference on Localization and GNSS (ICL-GNSS), pages 1–6. IEEE.
IBGE. Projeção da população do brasil e das unidades da federação. Disponível em: https://www.ibge.gov.br/apps/populacao/projecao/. Acessado em: 25 jun. 2019.
Keele, S. et al. (2007). Guidelines for performing systematic literature reviews in soft- ware engineering. Technical report, Technical report, Ver. 2.3 EBSE Technical Report. EBSE.
Kuxdorf-Alkirata, N. and Bru¨ckmann, D. (2016). Reliable and low-cost indoor localiza- tion based on bluetooth low energy. In 2016 3rd International Symposium on Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Compu- ting Systems (IDAACS-SWS), pages 92–96. IEEE.
Kyritsis, A. I., Kostopoulos, P., Deriaz, M., and Konstantas, D. (2016). A ble-based probabilistic room-level localization method. In 2016 International Conference on Localization and GNSS (ICL-GNSS), pages 1–6. IEEE.
Le, X. H. B., Di Mascolo, M., Gouin, A., and Noury, N. (2008). Health smart home for elders-a tool for automatic recognition of activities of daily living. In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pages 3316–3319. IEEE.
Li, X., Xu, D., Wang, X., and Muhammad, R. (2016). Design and implementation of indoor positioning system based on ibeacon. In 2016 International Conference on Audio, Language and Image Processing (ICALIP), pages 126–130. IEEE.
Memon, S., Memon, M. M., Shaikh, F. K., and Laghari, S. (2017). Smart indoor positio- ning using ble technology. In 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS), pages 1–5. IEEE.
Mussina, A. and Aubakirov, S. (2018). Rssi based bluetooth low energy indoor positio- ning. In 2018 IEEE 12th International Conference on Application of Information and Communication Technologies (AICT), pages 1–4. IEEE.
Ndzukula, S., Ramotsoela, T., Silva, B., and Hancke, G. P. (2017). A bluetooth low energy based system for personnel tracking. In IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society, pages 8435–8440. IEEE.
Nourizadeh, S., Deroussent, C., Song, Y.-Q., and Thomesse, J.-P. (2009). A Distributed Elderly healthcare System. In MobiHealth 2009, Porto, Portugal.
Oliveira, A. P. and Carvalho, S. (2017). Localização usando beacons em ambientes in- ternos para monitoramento remoto de pacientes. In Anais V Escola Regional de Informática de Goiás, pages 160–173.
Peng, Y., Fan, W., Dong, X., and Zhang, X. (2016). An iterative weighted knn (iw-knn) based indoor localization method in bluetooth low energy (ble) envi- ronment. In 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Compu- ting, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), pages 794–800. IEEE.
Ribeiro, H. A., Germano, E., Carvalho, S. T., and Albuquerque, E. S. (2018). Integrating social networks and remote patient monitoring systems to disseminate notifications. In MEDINFO 2017: Precision Healthcare Through Informatics: Proceedings of the 16th World Congress on Medical and Health Informatics, volume 245, page 198. IOS Press.
Rodrigues, M. S. and Carvalho, S. T. (2019). Sistemas de localização indoor utilizando bluetooth low energy: Uma revisão sistemática. In Simpósio Brasileiro de sistemas de informação, WICSI - Workshop de Iniciação Científica em Sistemas de Informação, pages 5 – 8.
Sredojev, B., Samardzija, D., and Posarac, D. (2015). Webrtc technology overview and signaling solution design and implementation. In 2015 38th International Conven- tion on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pages 1006–1009. IEEE.
Tabbakha, N. E., Tan, W.-H., and Ooi, C.-P. (2017). Indoor location and motion tracking system for elderly assisted living home. In 2017 International Conference on Robotics, Automation and Sciences (ICORAS), pages 1–4. IEEE.
Thaljaoui, A., Val, T., Nasri, N., and Brulin, D. (2015). Ble localization using rssi measu- rements and iringla. In 2015 IEEE International Conference on Industrial Technology (ICIT), pages 2178–2183. IEEE.
Trinugroho, Y. B. D., Reichert, F., and Fensli, R. (2012). ehealth smart home environment service platform-enabling remote monitoring and service composition through social media. In International Conference on Health Informatics, volume 2, pages 434–438. SCITEPRESS.
Trinugroho, Y. B. D., Reichert, F., and Fensli, R. W. (2011). A soa-based health service platform in smart home environment. In 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, pages 201–204. IEEE.
Wang, Y., Ye, Q., Cheng, J., and Wang, L. (2015). Rssi-based bluetooth indoor localiza- tion. In 2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN), pages 165–171. IEEE.
Cho, H., Ji, J., Chen, Z., Park, H., and Lee, W. (2015). Measuring a distance between things with improved accuracy. volume 52, pages 1083–1088. Elsevier.
Del Duca, G. F., Thumé, E., and Hallal, P. C. (2010). Prevaleˆncia e fatores associados ao cuidado domiciliar a idosos. volume 45, pages 113–120. SciELO Public Health.
Dickinson, P., Cielniak, G., Szymanezyk, O., and Mannion, M. (2016). Indoor positioning of shoppers using a network of bluetooth low energy beacons. In 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), pages 1–8. IEEE.
El Jaouhari, S., Bouabdallah, A., Bonnin, J.-M., and Lemlouma, T. (2017). Toward a smart health-care architecture using webrtc and wot. In World Conference on Informa- tion Systems and Technologies, pages 531–540. Springer.
Fil´ıpek, P. and Kovarova, A. (2016). Indoor localization based on beacons and calculated by particle filter. In Proceedings of the 17th International Conference on Computer Systems and Technologies 2016, CompSysTech ’16, pages 269–276, New York, NY, USA. ACM.
Hou, X. and Arslan, T. (2017). Monte carlo localization algorithm for indoor positioning using bluetooth low energy devices. In 2017 International Conference on Localization and GNSS (ICL-GNSS), pages 1–6. IEEE.
IBGE. Projeção da população do brasil e das unidades da federação. Disponível em: https://www.ibge.gov.br/apps/populacao/projecao/. Acessado em: 25 jun. 2019.
Keele, S. et al. (2007). Guidelines for performing systematic literature reviews in soft- ware engineering. Technical report, Technical report, Ver. 2.3 EBSE Technical Report. EBSE.
Kuxdorf-Alkirata, N. and Bru¨ckmann, D. (2016). Reliable and low-cost indoor localiza- tion based on bluetooth low energy. In 2016 3rd International Symposium on Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Compu- ting Systems (IDAACS-SWS), pages 92–96. IEEE.
Kyritsis, A. I., Kostopoulos, P., Deriaz, M., and Konstantas, D. (2016). A ble-based probabilistic room-level localization method. In 2016 International Conference on Localization and GNSS (ICL-GNSS), pages 1–6. IEEE.
Le, X. H. B., Di Mascolo, M., Gouin, A., and Noury, N. (2008). Health smart home for elders-a tool for automatic recognition of activities of daily living. In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pages 3316–3319. IEEE.
Li, X., Xu, D., Wang, X., and Muhammad, R. (2016). Design and implementation of indoor positioning system based on ibeacon. In 2016 International Conference on Audio, Language and Image Processing (ICALIP), pages 126–130. IEEE.
Memon, S., Memon, M. M., Shaikh, F. K., and Laghari, S. (2017). Smart indoor positio- ning using ble technology. In 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS), pages 1–5. IEEE.
Mussina, A. and Aubakirov, S. (2018). Rssi based bluetooth low energy indoor positio- ning. In 2018 IEEE 12th International Conference on Application of Information and Communication Technologies (AICT), pages 1–4. IEEE.
Ndzukula, S., Ramotsoela, T., Silva, B., and Hancke, G. P. (2017). A bluetooth low energy based system for personnel tracking. In IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society, pages 8435–8440. IEEE.
Nourizadeh, S., Deroussent, C., Song, Y.-Q., and Thomesse, J.-P. (2009). A Distributed Elderly healthcare System. In MobiHealth 2009, Porto, Portugal.
Oliveira, A. P. and Carvalho, S. (2017). Localização usando beacons em ambientes in- ternos para monitoramento remoto de pacientes. In Anais V Escola Regional de Informática de Goiás, pages 160–173.
Peng, Y., Fan, W., Dong, X., and Zhang, X. (2016). An iterative weighted knn (iw-knn) based indoor localization method in bluetooth low energy (ble) envi- ronment. In 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Compu- ting, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), pages 794–800. IEEE.
Ribeiro, H. A., Germano, E., Carvalho, S. T., and Albuquerque, E. S. (2018). Integrating social networks and remote patient monitoring systems to disseminate notifications. In MEDINFO 2017: Precision Healthcare Through Informatics: Proceedings of the 16th World Congress on Medical and Health Informatics, volume 245, page 198. IOS Press.
Rodrigues, M. S. and Carvalho, S. T. (2019). Sistemas de localização indoor utilizando bluetooth low energy: Uma revisão sistemática. In Simpósio Brasileiro de sistemas de informação, WICSI - Workshop de Iniciação Científica em Sistemas de Informação, pages 5 – 8.
Sredojev, B., Samardzija, D., and Posarac, D. (2015). Webrtc technology overview and signaling solution design and implementation. In 2015 38th International Conven- tion on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pages 1006–1009. IEEE.
Tabbakha, N. E., Tan, W.-H., and Ooi, C.-P. (2017). Indoor location and motion tracking system for elderly assisted living home. In 2017 International Conference on Robotics, Automation and Sciences (ICORAS), pages 1–4. IEEE.
Thaljaoui, A., Val, T., Nasri, N., and Brulin, D. (2015). Ble localization using rssi measu- rements and iringla. In 2015 IEEE International Conference on Industrial Technology (ICIT), pages 2178–2183. IEEE.
Trinugroho, Y. B. D., Reichert, F., and Fensli, R. (2012). ehealth smart home environment service platform-enabling remote monitoring and service composition through social media. In International Conference on Health Informatics, volume 2, pages 434–438. SCITEPRESS.
Trinugroho, Y. B. D., Reichert, F., and Fensli, R. W. (2011). A soa-based health service platform in smart home environment. In 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services, pages 201–204. IEEE.
Wang, Y., Ye, Q., Cheng, J., and Wang, L. (2015). Rssi-based bluetooth indoor localiza- tion. In 2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN), pages 165–171. IEEE.
Publicado
22/11/2019
Como Citar
RODRIGUES, Matheus S.; CARVALHO, Sérgio T..
Localização em Tempo Real de Pacientes em Ambiente Domiciliar Utilizando Bluetooth Low Energy. In: ESCOLA REGIONAL DE INFORMÁTICA DE GOIÁS (ERI-GO), 7. , 2019, Goiânia.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 211-222.
