Abstract
Portable healthcare monitoring systems occupy an important place in the world today of telemedicine healthcare monitoring systems. In places where there are no good hospitals, patients’ physical condition is reported to an experienced doctor through IoT. The HRV monitoring belongs to one of several primary activities related to healthcare monitoring, which involves biomedical signal acquisition, signal processing, databases, and transmission technologies with better precision. Tele-health accommodations, where the technician is provided the medical data points from a remote patient to the hospital utilizing communication technologies. In advanced nations, the IoT platform augments remote health care as standard practice elongated, where the primary clinics in rural areas get accommodation. This system will continuously monitor the electrocardiogram (ECG), the heart rate (PPG) of a patient. The proposed system is mainly beneficial because the medical staffs who can provide care and attention to patients without being in close proximity in COVID-19 situations. In this way, multiple numbers of patients can be treated by the physician at the same time. A smart healthcare application, which will display the reconstructed ECG and PPG signals waveforms and heart rate variability parameters of the cardiovascular system after the receiving data set stored on from IoT cloud.
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References
Dr. Y Raja Sree Rao, Syed Faizan, Mohd Shoeb, Mohd Junaid Siddiqui , Mohamed Abid Mohamed.: “AN IoT BASED REMOTE HRV (Heart rate variability) MONITORING SYSTEM FOR HYPERTENSIVE PATIENTS” , Mukt Shabd Journal IX( V), 3323–3327(2020).
Mohammad, S.I., Mohammad, T.I., Ali, F.A., Gan, K.B., Norbahiah, M., Amin, N.: “ Monitoring of the Human Body Signal through the Internet of Things (IoT) Based LoRa Wireless Network System”, Appl. Sci. 9(9), (2019).
Mehmet, T.: IoT Based Wearable Smart Health Monitoring System. Celal Bayar Univ. J. Sci. 14(3), 343–350 (2018)
Majumder, A.K.M.; ElSaadany, Y.A.; Young, R.; Ucci, D.R.: “An Energy Efficient Wearable Smart IoT System to Predict Cardiac Arrest”, Adv. Hum.-Comput. Interact, (2019).
STEPHANIE B. BAKER, WEI XIANG, IAN ATKINSON.: “ Internet of Things for Smart Healthcare: Technologies, Challenges, and Opportunities”, in IEEE Access, vol. 5, 26521–26544 (2017).
ProsantaGope, T.Hwang.:“BSN-Care: A Secure IoT-Based Modern Healthcare System Using Body Sensor Network”, in IEEE Sensors Journal 16(5), 1368–1376(2016).
F. Fernandez and G. C. Pallis.: “Opportunities and challenges of the Internet of Things for healthcare: Systems engineering perspective”, 4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH), pp. 263–266, Athens, Greece(2014).
Chao Lia, Xiangpei Hua, Lili Zhangb.: “The IoT-based heart disease monitoring system for pervasive healthcare service”, International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES2017, 2328–2334, Marseille, France, (2017).
Devi, R.L., Kalaiyani, V.: Machine learning and IoT-based cardiac arrhythmia diagnosis using statistical and dynamic features of ECG. J Supercomput 76, 6533–6544 (2020)
Sahana S Khamitkar , Mohammed Rafi.: “IoT based System for Heart Rate Monitoring”, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY 9(07), 1563–1571(2020).
Ahmed Faeq Hussein , Arun Kumar N, Marlon Burbano-Fernandez , Gustavo Ramirez-Gonzalez , Enas Abdulhay , Victor Hugo C. de Albuquerque.: An Automated Remote Cloud-Based Heart Rate Variability Monitoring System. Special Section On Wearable And Implantable Devices And Systems IEEE J. 6, 77055–77064 (2018)
Reshma, S.P.T., JaiSurya, Y., Sri, L.M.: Heart rate monitoring system using heart rate sensor and arduino Uno with web application. Int. J. Eng. Adv. Technol. (IJEAT) 8(4), 350–352 (2019)
Brezulianu, A., Geman, O., Zbancioc, M.D., Hagan, M.; Aghion, C., Hemanth, D.J., Son, L.H.: IoT based heart activity monitoring using inductive sensors. IoT Sensors in E-Health 19(15) , (2019)
Selvaraj, N., Jaryal, A., Santhosh, J., Deepak, K.K., Anand.: S.: Assessment of heart rate variability derived from finger-tip photoplethysmography as compared to electrocardiography. J. Med. Eng. Technol. 32(6), 479–484 (2008)
Bolanos, M., Nazeran, H., Haltiwanger.: Comparison of heart rate variability signal features derived from electrocardiography and photoplethysmography in healthy individuals. In: Proceedings of the 28th IEEE EMBS Annual International Conference, pp. 4289–4294, New York, USA (2006)
Giardino, N.D., Lehrer, P.M., Edelberg, R.: Comparison of finger plethysmograph to ECG in the measurement of heart rate variability. Psychophysiology 39(2), 246–253 (2002)
Noor Kamal Al-Qazzaz, Israa F. Abdulazez ,Salma A. Ridha.: “Simulation Recording of an ECG, PCG, and PPG for Feature Extractions”, Al-Khwarizmi Engineering Journal 10(4), 81–91 (2014).
Brennam, M., Palaniswami, M., Kamen, P.: Do existing measures of poincare plot geometry reflect nonlinear features of heart rate variability? IEEE Trans. Biomed. Eng. 48(11), 1342–1347 (2001)
Gupta, R., Mitra, M., Bera, J.: ECG Acquisition and Automated Remote Processing. Springer (2014)
Shin, H.S., Lee, C., Lee, M.: Adaptive threshold method for the peak detection of photoplethysmographic waveform. Comput. Biol. Med. 39(12), 1145–1152 (2009)
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Bhowmick, S., Kundu, P.K., Mandal, D.D. (2022). IoT-Based Real-Time HRV Performance Analysis. In: Mandal, J.K., Buyya, R., De, D. (eds) Proceedings of International Conference on Advanced Computing Applications. Advances in Intelligent Systems and Computing, vol 1406. Springer, Singapore. https://doi.org/10.1007/978-981-16-5207-3_8
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