Scholarlink

This paper presents a real-time, non-contact pulse oximetry system based on remote photoplethysmography (rPPG) for heart rate (HR) and oxygen saturation (SpO \(_2\) ) estimation using facial video. The system employs OpenCV for video capture, MediaPipe for landmark detection, and wavelet transforms with Independent Component Analysis (ICA) for signal extraction. Vital signs are displayed on an LCD and remotely transmitted via Twilio and Imgur APIs over WhatsApp. Designed for low-cost, hardware-integrated deployment, the system is suitable for edge computing in telemedicine and rural health settings. It demonstrates a ±2% deviation from standard oximeters, validating its accuracy. Challenges under variable lighting, skin tone, and occlusions are acknowledged. Overall, the system offers an interpretable, scalable solution for accessible, contactless health monitoring.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

PulseLink: Integration of Pulse Oximeter Software with Hardware

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Rasika Naik,
  • Nandini Ammanagi,
  • Samidha Chatap,
  • Dhvani Ghodeswar,
  • Piyush Pandey,
  • Hrishikesh Patil

摘要

This paper presents a real-time, non-contact pulse oximetry system based on remote photoplethysmography (rPPG) for heart rate (HR) and oxygen saturation (SpO \(_2\) ) estimation using facial video. The system employs OpenCV for video capture, MediaPipe for landmark detection, and wavelet transforms with Independent Component Analysis (ICA) for signal extraction. Vital signs are displayed on an LCD and remotely transmitted via Twilio and Imgur APIs over WhatsApp. Designed for low-cost, hardware-integrated deployment, the system is suitable for edge computing in telemedicine and rural health settings. It demonstrates a ±2% deviation from standard oximeters, validating its accuracy. Challenges under variable lighting, skin tone, and occlusions are acknowledged. Overall, the system offers an interpretable, scalable solution for accessible, contactless health monitoring.