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Remote Reading of Surgical Monitor's Physiological Readings: An Image Processing Approach

  • Received : 2022.07.05
  • Published : 2022.07.30

Abstract

As a result of the global effect of infectious diseases like COVID-19, remote patient monitoring has become a vital need. Surgical ICU monitors are attached around the clock for patients in critical care. Most ICU monitor systems, on the other hand, lack an output port for transferring data to an auxiliary device for post-processing. Similarly, strapping a slew of wearables to a patient for remote monitoring creates a great deal of discomfort and limits the patient's mobility. Hence, an unique remote monitoring technique for the ICU monitor's physiologically vital readings has been presented, recognizing this need as a research gap. This mechanism has been put to the test in a variety of modes, yielding an overall accuracy of close to 90%.

Keywords

References

  1. 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
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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.
  14. 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.
  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.
  16. 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.
  17. 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.
  18. 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.