Wireless and Wearable Real-time Health Monitoring Systems: A Review of Recent Developments

[{“box”:0,”content”:”[if 992 equals=”Open Access”]n

n

n

n

Open Access

nn

n

n[/if 992]n

n

Year : July 29, 2024 at 4:24 pm | [if 1553 equals=””] Volume :02 [else] Volume :02[/if 1553] | [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] : 01 | Page : 1-7

n

n

n

n

n

n

By

n

[foreach 286]n

n

n

Bhavna Pawar, Pornima Choulwar, Pooja Mule,

n

    n t

  • n

n

n[/foreach]

n

n[if 2099 not_equal=”Yes”]n

    [foreach 286] [if 1175 not_equal=””]n t

  1. Assistant Professor,, Student,, Student, Department of Electronics and Telecommunication Engineering, Rasiklal M. Dhariwal (RMD) Sinhgad School of Engineering, Pune,, Department of Electronics and Telecommunication Engineering, Rasiklal M. Dhariwal (RMD) Sinhgad School of Engineering, Pune,, Department of Electronics and Telecommunication Engineering, Rasiklal M. Dhariwal (RMD) Sinhgad School of Engineering, Pune, Maharashtra,, Maharashtra,, Maharashtra, India, India, India
  2. n[/if 1175][/foreach]

n[/if 2099][if 2099 equals=”Yes”][/if 2099]n

n

Abstract

nThis paper explores the interdependent relationship between mental and physical health, highlighting the impact of stress and anxiety on the body by introducing an innovative Real- Time Health Monitoring System. This system monitors both mental well-being and physical health using advanced physical health sensors and Facial Emotion Recognition (FER) technology. Leveraging high-precision sensors such as Temperature and pulse oximeters, it continuously monitors vital physiological parameters such as Body Temperature and Pulse Rate (SpO2) in real time. Simultaneously, a FER-based Deep Learning model captures and analyzes emotional states, ranging from happiness to anxiety and everything in between. Processed by an ESP32 microcontroller, the data is seamlessly acquired, graphically displayed, and stored on a Cloud Platform, allowing for in-depth analysis. Quantitative data has been used to analyze patterns and relationships between emotional states and health parameters for deeper understanding of the mind-body connection. The results demonstrate the real-time monitoring of an individual’s emotional state and its impact on vital health parameters, such as Temperature and Pulse Rate. In conclusion, our findings highlight the importance of integrating mental health into physical health and the potential impact of cutting-edge technologies on healthcare management by providing a holistic understanding of each person’s well-being.

n

n

n

Keywords: : Real-time health monitoring, facial emotion recognition (FER), body temperature, pulse oximeter (SPO2), mind-body connection

n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Radio Frequency Innovations(ijrfi)]

n

[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in International Journal of Radio Frequency Innovations(ijrfi)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

n

n

n

How to cite this article: Bhavna Pawar, Pornima Choulwar, Pooja Mule. Wireless and Wearable Real-time Health Monitoring Systems: A Review of Recent Developments. International Journal of Radio Frequency Innovations. July 29, 2024; 02(01):1-7.

n

How to cite this URL: Bhavna Pawar, Pornima Choulwar, Pooja Mule. Wireless and Wearable Real-time Health Monitoring Systems: A Review of Recent Developments. International Journal of Radio Frequency Innovations. July 29, 2024; 02(01):1-7. Available from: https://journals.stmjournals.com/ijrfi/article=July 29, 2024/view=0

nn[if 992 equals=”Open Access”] Full Text PDF Download[/if 992] n

n[if 992 not_equal=’Open Access’] [/if 992]nn n

nn[if 379 not_equal=””]n

Browse Figures

n

n

[foreach 379]n

n[/foreach]n

n

n

n[/if 379]n

n

References

n[if 1104 equals=””]n

  1. Motalab Hossen, Boyidhanath Roy. “Implementation Of Iot Based Patient Health Monitoring System Using Esp32 Web Server”. Published in International Journal of Advanced Research June 2023.
  2. Wafa Mellouka, Wahida Handouzi. “Facial emotion recognition using deep learning: review and insights”. Published in 2nd International Workshop on the Future of Internet of Everything (FIoE) August 2020.
  3. Raseduzzaman Ruman, Amit Barua, Waladur Rahman, Khan Roushan Jahan, Md. Jamil Roni and Md. Foyjur Rahman. “Smart Health Monitoring System”. Published in 2020 International Conference on Industry 4.0 Technology (I4Tech).
  4. Chandini Unnikrishnan1& Srishti Pandit. “Health Monitoring System Using Raspberry PI”. Published in International Research Journal of Engineering and Technology (IRJET) Apr 2020.
  5. Vani Yeri and Dr. Shubhangi DC. “IoT based Real Time Health Monitoring”. Published in Proceedings of the Second International Conference on Inventive Research in Computing Applications (ICIRCA-2020).
  6. Adnan Tahir, Fei “A Systematic Review on Cloud Storage Mechanisms Concerning Healthcare Systems”. Published in September 2020.
  7. Imran khan, Kamran Zeb, Asif Mahmood. “Healthcare Monitoring System and transforming Monitored data into Real time Clinical Feedback based on IoT using Raspberry Pi”. Published in 2019 International Conference on Computing, Mathematics and Engineering Technologies – iCoMET
  8. Shiva Rama Krishnan, Subhash Chand Gupta & Tanupriya Choudhury. “An IoT based Patient Health Monitoring System”. Published in 2018 International Conference on Advances in Computing and Communication Engineering (ICACCE-2018).
  9. Ashvini Kamble and Sonali Bhutad. “IOT based Patient Health Monitoring System with Nested Cloud Security”. Published in 2018 International Conference on Advances in Computing and Communication Engineering (ICACCE).
  10. Ashwini Gutte & Ramkrishna “IoT Based Health Monitoring System using Raspberry Pi”. Published in 2018 Fourth International Conference on Computing communication Control and Automation (ICCUBEA).
  11. Fei Wang, Hu Chen, Li Kong, Weihua “Real-time Facial Expression Recognition on Robot for Healthcare”. Published in 2018 IEEE International Conference on Intelligence and Safety for Robotics.
  12. Parmveer Singh & Ashish “IoT Based Low-Cost Distant Patient ECG Monitoring System”. Published in International Conference on Computing, Communication and Automation (ICCCA2017).
  13. Amandeep Kaur & Ashish Jasuja. “Health Monitoring Based on IoT using RASPBERRY PI”. Published in International Conference on Computing, Communication and Automation (ICCCA2017).
  14. Kavita Jaiswal, Srichandan Sobhanayak, Bhabendu Kumar Mohanta and Debasish Jena. “IoT- cloud based framework for patient’s data collection in smart healthcare system using raspberry-pi”. Published in 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA).
  15. Min Chen, Yongfeng Qian. “Privacy Protection and Intrusion Avoidance for Cloudlet based Medical Data Sharing”. Published in 2016 IEEE Transactions On Cloud

nn[/if 1104][if 1104 not_equal=””]n

    [foreach 1102]n t

  1. [if 1106 equals=””], [/if 1106][if 1106 not_equal=””],[/if 1106]
  2. n[/foreach]

n[/if 1104]

nn


nn[if 1114 equals=”Yes”]n

n[/if 1114]

n

n

[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Original Research

n

n

[if 2146 equals=”Yes”][/if 2146][if 2146 not_equal=”Yes”][/if 2146]n

n

n

n

n

n

n

n

n

n

n

n

n

n

n

n

n

n

n

n

n[if 1748 not_equal=””]

[else]

[/if 1748]n

n

n

Volume 02
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 01
Received June 12, 2024
Accepted June 27, 2024
Published July 29, 2024

n

n

n

n

n

n nfunction myFunction2() {nvar x = document.getElementById(“browsefigure”);nif (x.style.display === “block”) {nx.style.display = “none”;n}nelse { x.style.display = “Block”; }n}ndocument.querySelector(“.prevBtn”).addEventListener(“click”, () => {nchangeSlides(-1);n});ndocument.querySelector(“.nextBtn”).addEventListener(“click”, () => {nchangeSlides(1);n});nvar slideIndex = 1;nshowSlides(slideIndex);nfunction changeSlides(n) {nshowSlides((slideIndex += n));n}nfunction currentSlide(n) {nshowSlides((slideIndex = n));n}nfunction showSlides(n) {nvar i;nvar slides = document.getElementsByClassName(“Slide”);nvar dots = document.getElementsByClassName(“Navdot”);nif (n > slides.length) { slideIndex = 1; }nif (n (item.style.display = “none”));nArray.from(dots).forEach(nitem => (item.className = item.className.replace(” selected”, “”))n);nslides[slideIndex – 1].style.display = “block”;ndots[slideIndex – 1].className += ” selected”;n}n”}]

Check Our other Platform for Workshops in the field of AI, Biotechnology & Nanotechnology.
Check Out Platform for Webinars in the field of AI, Biotech. & Nanotech.