PACMAN: A Framework for Pulse Oximeter Digit Detection and Reading in a Low-Resource Setting-Reference-Cited by-同舟云学术

PACMAN: A Framework for Pulse Oximeter Digit Detection and Reading in a Low-Resource Setting

Published:2023-08-01 Issue:15 Volume:10 Page:13196-13204
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Boonnag Chiraphat¹^ORCID,Ittichaiwong Piyalitt²,Saengmolee Wanumaidah³,Seesawad Narongrid³^ORCID,Chinkamol Amrest³^ORCID,Rattanasomrerk Saendee⁴,Veerakanjana Kanyakorn²^ORCID,Thanontip Kamonwan³^ORCID,Limpornchitwilai Warissara³^ORCID,Wilaiprasitporn Theerawit⁴^ORCID

Affiliation:

1. Biomedical Informatics Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand

2. Siriraj Informatics and Data Innovation Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand

3. Bio-Inspired Robotics and Neural Engineering Lab,, School of Information Science and Technology, Vidyasirimedhi Institute of Science and Technology, Rayong, Thailand

4. Sense AI Company, Limited, Rayong, Thailand

Funder

IEEE HAC/SIGHT

National Research Council of Thailand

PTT Public Company Limited

SCB Public Company Limited

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10194321/10081308.pdf?arnumber=10081308

Reference21 articles.

1. YOLOv4: Optimal speed and accuracy of object detection;bochkovskiy;arXiv 2004 10934,2020

2. YOLO9000: Better, Faster, Stronger

3. CSPNet: A New Backbone that can Enhance Learning Capability of CNN

4. Accuracy of pulse oximetry in the intensive care unit

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