References
- Annis, T., Pleasants, S., Hultman, G.M., Lindemann, E.A., Thompson, J.A., Billecke, S., Badlani, S., & Melton, G.B. (2020). Rapid implementation of a COVID-19 remote patient monitoring program. Journal of the American Medical Informatics Association : JAMIA, 27, 1326 - 1330. https://doi.org/10.1093/jamia/ocaa097
- Rogers, R. (2021). Internet of Things-based Smart Healthcare Systems, Wireless Connected Devices, and Body Sensor Networks in COVID-19 Remote Patient Monitoring. American Journal of Medical Research.
- Malik, L.G., Shahu, A.N., Rathod, S., Kuthe, P., & Patil, P. (2021). Blood Oxygen Level and Pulse Rate Monitoring Using IoT and Cloud-Based Data Storage. Cloud Computing Technologies for Smart Agriculture and Healthcare.
- Hsu, J.J., Wang, J.I., Lee, A., Li, D.Y., Chen, C.H., Huang, S., Liu, A., Yoon, B., Kim, S., & Tsai, T. (2009). Automated control of blood glucose in the or and surgical ICU. 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1286-1289.
- Li, Q., & Clifford, G.D. (2008). Suppress False Arrhythmia Alarms of ICU Monitors Using Heart Rate Estimation Based on Combined Arterial Blood Pressure and Ecg Analysis. 2008 2nd International Conference on Bioinformatics and Biomedical Engineering, 2185-2187.
- Tonino, R. P., Larimer, K., Eissen, O., & Schipperus, M. R. (2019). Remote patient monitoring in adults receiving transfusion or infusion for hematological disorders using the VitalPatch and accelerateIQ monitoring system: Quantitative feasibility study. JMIR Human Factors, 6(4), e15103. https://doi.org/10.2196/15103
- Jamil, F., Ahmad, S., Iqbal, N., & Kim, D. (2020). Towards a remote monitoring of patient vital signs based on IoT-based blockchain integrity management platforms in smart hospitals. Sensors, 20(8), 2195. https://doi.org/10.3390/s20082195
- Breen, S., Ritchie, D., Schofield, P., Hsueh, Y., Gough, K., Santamaria, N., Kamateros, R., Maguire, R., Kearney, N., & Aranda, S. (2015). The patient remote intervention and symptom management system (PRISMS) - a telehealth- mediated intervention enabling real-time monitoring of chemotherapy side-effects in patients with haematological malignancies: Study protocol for a randomised controlled trial. Trials, 16(1). https://doi.org/10.1186/s13063-015-0970-0
- Ai, Z., Zheng, L., Qi, H., & Cui, W. (2018). Low-power wireless wearable ECG monitoring system based on BMD101. 2018 37th Chinese Control Conference (CCC). https://doi.org/10.23919/chicc.2018.8484125
- Ogunbolu, M., & Fadipe, S. (2021). An enhanced remote monitoring of patients heartbeat and body temperature using internet of health things (IoHT). Journal of Science Engineering Technology and Management, 03(01), 01-11. https://doi.org/10.46820/jsetm.2021.3101
- Thippeswamy, V. S., Shivakumaraswamy, P. M., Chickaramanna, S. G., Iyengar, V. M., Das, A. P., & Sharma, A. (2021). Prototype development of continuous remote monitoring of ICU patients at home. Instrumentation Mesure Metrologie, 20(2), 79-84. https://doi.org/10.18280/i2m.200203
- Jaber, M. M., Alameri, T., Ali, M. H., Alsyouf, A., Al-Bsheish, M., Aldhmadi, B. K., Ali, S. Y., Abd, S. K., Ali, S. M., Albaker, W., & Jarrar, M. (2022). Remotely monitoring COVID-19 patient health condition using Metaheuristics convolute networks from IoT-based wearable device health data. Sensors, 22(3), 1205. https://doi.org/10.3390/s22031205
- Raman, P., & Aashish, K. (2021). Gym users: an enabler in creating an acceptance of sports and fitness wearable devices in India. International Journal of Sports Marketing and Sponsorship.
- Mohammadzadeh, N., Gholamzadeh, M., Saeedi, S., & Rezayi, S. (2020). The application of wearable smart sensors for monitoring the vital signs of patients in epidemics: a systematic literature review. Journal of Ambient Intelligence and Humanized Computing, 1 - 15.
- Pham, V.V., Pham, C., & Dang, T. (2020). Road Damage Detection and Classification with Detectron2 and Faster R-CNN. 2020 IEEE International Conference on Big Data (Big Data), 5592-5601.
- Mudigere, D., Naumov, M., Spisak, J., Chauhan, G., Kokhlikyan, N., Singh, A., & Goswami, V. (2020). Building Recommender Systems with PyTorch. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.
- Dequito, C.J., Dichaves, I.J., Juan, R.J., Minaga, M.Y., Ilao, J.P., M O Cordel, I., & Del Gallego, N.P. (2021). Vision-based bicycle and motorcycle detection using a YOLO-based Network. Journal of Physics: Conference Series, 1922.
- Rehman, S.U., Razzaq, M.R., & Hussian, M.H. (2021). Training of SSD(Single Shot Detector) for Facial Detection using Nvidia Jetson Nano. ArXiv, abs/2105.13906.