AI Contactless Heart Rate Detection

2024 ai in medical and healthcare artificial intelligence healthcare medical Jun 07, 2024
AI Contactless Heart Rate Detection

Contactless Heart Rate Detection: Enhancing Healthcare with Eulerian Magnification

The world of healthcare is brimming with innovations, and today, we're delving into a fascinating one: remote heart rate detection. It's time to explore the unseen and unveil what our eyes cannot perceive!

Contact Methods: Limitations and Evolution

Traditional heart rate monitoring technologies, such as electrocardiograms (ECGs) and pulse oximeters, have been invaluable tools in healthcare. They provide accurate measurements and have become staples in clinical settings. However, these contact methods have their limitations, and this is where the concept of contactless heart rate detection comes into play.

The need for contactless methods arises from several factors. Firstly, while traditional methods are effective, they can be invasive and uncomfortable for patients, especially those with sensitive skin or certain medical conditions. Additionally, in today's fast-paced world, reducing visit times and providing efficient, convenient solutions are crucial for both patients and healthcare professionals.

Contactless heart rate detection offers a range of advantages. It eliminates the need for direct physical contact, reducing potential discomfort and improving hygiene, which is especially important in the current pandemic era. This technology can also be used in situations where traditional methods may not be feasible, such as monitoring vital signs during sleep or in crowded places like airports to detect individuals with elevated temperatures, a potential indicator of infectious diseases.


Current Heart Rate Monitoring Technologies

Before delving into the intricacies of Eulerian magnification, let's briefly explore the existing heart rate monitoring technologies to understand their workings and limitations. This will provide a comprehensive backdrop for the innovative solution we're about to uncover.

The gold standard in heart rate monitoring has been the ECG, which measures electrical signals in the heart through electrodes placed on the body. While highly accurate, ECGs require direct skin contact and can be cumbersome for long-term or remote monitoring. Pulse oximeters, on the other hand, use light absorption to estimate heart rate and blood oxygen saturation non-invasively. However, they are sensitive to motion and can provide inaccurate readings in certain scenarios.

Unveiling the Unseen: Eulerian Magnification to the Rescue

Now, let's dive into the fascinating world of Eulerian Video Magnification (EVM) and its application in remote heart rate detection. This technique, initially developed by MIT CSAIL, amplifies subtle changes and motions in videos, making the unseen visible.

The human eye struggles to perceive subtle motions and color changes, but with EVM, we can reveal and amplify these nuances. Imagine being able to see the pulse in a person's wrist or the gentle rise and fall of a sleeping baby's chest—all from a simple video recording. This is the power of Eulerian magnification.


The technique works by applying a temporal filter to individual pixels in a video, essentially separating subtle changes from larger motions. By amplifying these small variations, we can visually detect heart rate and respiratory rate biomarkers. It's like having a motion microscope that reveals a hidden world of motion, all without the need for complex optics.

Our Solution: Head Detection and Efficient Coding

Our approach to contactless heart rate detection combines the power of Eulerian magnification with head detection algorithms like YOLOR or YOLOv9, (YOLOv10 coming soon).

 By keeping the head still within the video frame, we ensure accurate measurements. Our easy-to-understand code, provided in our AI in Medical & Healthcare Course, achieves impressive results, offering a frame rate of 10FPS, well above the Nyquist frequency.

This method has been successfully implemented and deployed on various hardware platforms, including off-the-shelf edge devices and PCs.

Our comprehensive evaluation considers latency, throughput, power consumption, efficiency, and value, offering important insights into the computational requirements and optimal platform choices.

AI in Medical & Healthcare Course: Learn and Build

If you're intrigued by this innovative application of AI in healthcare, our AI in Medical & Healthcare Course offers a comprehensive deep dive. In this course, you'll not only learn about the theory behind these technologies but also get hands-on experience building 12 AI-powered medical applications. From detecting skin cancer to analyzing brain MRIs, you'll explore a range of real-world use cases.

The course is currently available for enrollment at a discounted price of $79, but this offer ends tonight. So, if you're eager to explore the potential of AI in healthcare and build your own innovative solutions, now is the time to seize this opportunity.

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