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Conference articles · 2022

Towards a Survey on Universal Human Vital Signs with prototype for Detection and Record Electronically Acceptable Medical-data (dDream)

2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) · Pages 502–511

Abstract

Accurate and valid health information is crucial for effective medical management. Failure to collect adequate information from physical and mental health examinations can be a barrier to Virtual medical platforms and telemedicine. In this paper, we propose the non-invasive "dDream" project prototype to monitor and record heart rate (HR), heart rate-variation (HRV) (for physical health), and stress (for mental health) using only a smart-phone. This non-invasive mobile application, "dDream" uses the front camera to capture video to calculate HR-HRV and stress. The full "dDream" project encompasses our previous facial video HR-HRV and stress work. We have also compared our proposed "dDream" project with 39 works in this area. We found a significant positive difference between our proposed "dDream" project compared to other projects in respect to user accessibility, application, cost-effectiveness, hospitalization monitoring, and human health status. Furthermore, we can apply "dDream" in remote human health monitoring, driver monitoring, and creating vital sign records non-invasively without a health care assistant. Especially during a pandemic, this virtual health monitoring system can be useful for scaled-up telemedicine to serve the remote population.

Publication details

Category
Conference articles
Authors & affiliations
  1. Masud RabbaniUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  2. Kazi Shafiul AlamUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  3. Lin HeUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  4. Shiyu TianUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  5. Mohammad SyamUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  6. Iysa IqbalUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  7. Anushka KolliUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  8. Hansika KolliUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  9. Syeda ShefaUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  10. Bipasha SobhaniUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  11. Paramita Basak UpamaUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  12. Sheikh Iqbal AhamedUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
Venue
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)
Publisher
IEEE
Record
Pages 502–511
Published
2022
Cite this work

Masud Rabbani, Kazi Shafiul Alam, Lin He, Shiyu Tian, Mohammad Syam, Iysa Iqbal, Anushka Kolli, Hansika Kolli, Syeda Shefa, Bipasha Sobhani, Paramita Basak Upama, Sheikh Iqbal Ahamed. “Towards a Survey on Universal Human Vital Signs with prototype for Detection and Record Electronically Acceptable Medical-data (dDream)”. 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), 502–511. (2022). https://doi.org/10.1109/COMPSAC54236.2022.00094.

Research topics

  • dDream- Digital health project for Detection and Record Electronically Acceptable Medical-data
  • Heart Rate
  • Heart Rate Variation
  • Vital Sign
  • Stress monitoring
  • Physical Health
  • Mental Health
  • smartphone vital-sign monitoring
  • remote photoplethysmography
  • heart rate
  • heart-rate variability
  • stress detection