Researchers have developed a new method to detect patients' heart rate using AR technology using Microsoft HoloLens and computer vision.
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Developed by French civil aviation university professor Christophe Hurter and Microsoft researchers Daniel McDuff and Mar Gonzalez Franco, Cardiolens uses HoloLen's camera to capture invisible signals from the naked eye to show blood flow and vital signs in multiple subjects. 
This is a newer way to measure heart rate, which is a method of initiating vital sign detection by accelerometers (such as sensors in smartphones and headphones that measure gravity and speed) or IR (infrared) cameras. Traditional ECG requires a contact sensor. 
This new system provides medical professionals with the means to capture the signals from these new methods and view heart rate and its variability in real time through a head-mounted display. The HoloLens accelerometer detects the user's own heart rate by head movement, which indicates that blood is discharged (ballistocardiography) during each cardiac cycle. 
To determine the heart rate in the user's field of view, the computer vision software developed by the research team used HoloLens' camera to identify the subject's face and then filtered the camera's red, green, and blue colors to create a time-varying signal. Through machine learning and digital signal processing, the system is able to identify the pulse from the signal in the microvascular layer of the skin. 
Microsoft and other software developers and medical professionals are finding more health care uses for HoloLens than other head-mounted augmented reality displays. Prior to this, we have seen HoloLens used to assist with surgery and to promote training in human anatomy.
With this latest invention, the little mats that doctors put on your heart rate may eventually be eliminated like leeches.