rPPG: AI pulse measurement from videos shows weaknesses in high heartbeat

by | Dec 9, 2025 | Health, Research

A study by the University of Bielefeld reveals weaknesses of modern AI methods for measuring pulses from video recordings. The technique of remote photoplethysmography (rPPG), which uses the smallest color changes of the skin to determine the pulse, is considered promising for telemedicine. However, with an increased heartbeat, the accuracy decreases significantly, as the study in the journal npj Digital Medicine shows.

The rPPG technology measures blood flow through optical analysis of facial videos and could relieve medical practices or detect stress in everyday life in the future. To test the reliability of this method, a research team from Bielefeld University investigated the performance of current AI methods under realistic conditions. Unlike previous studies, which mostly used ideal scenarios with good lighting and resting subjects, the team relied on a new data set. This includes low and high heart rates as well as low light conditions to replicate everyday situations.

The team led by Bhargav Acharya, William Saakyan, Professor Dr. Barbara Hammer and Hanna Drimalla deliberately relied on realistic scenarios. They developed their own data set. | Source: Hanna Drimalla | Copyright: Bielefeld University
The team led by Bhargav Acharya, William Saakyan, Professor Dr. Barbara Hammer and Hanna Drimalla deliberately relied on realistic scenarios. They developed their own data set. | Source: Hanna Drimalla | Copyright: Bielefeld University

The results show that dim illumination hardly affects the measurement accuracy. On the other hand, an increased pulse leads to considerable inaccuracies, which make some procedures unusable for telemedicine applications. Especially in critical situations where precise pulse measurement is crucial, the tested methods often fail.

The study highlights the need for more robust AI approaches, as unreliable use in telemedicine poses risks to patients and physicians. Incorrect assessments of stress or heart problems could have serious consequences. The researchers are therefore working on new methods that work reliably even at high heart rates, poor lighting or in people with dark skin.

The results illustrate the potential of contactless pulse measurement, but urge caution in its use. Only with further developed, more robust methods can rPPG find its place in digital healthcare and be reliably used in everyday life. The study thus makes an important contribution to the further development of telemedicine and shows ways in which AI-based diagnostics can be made more secure in the future.

Original Paper:

The reliability of remote photoplethysmography under low illumination and elevated heart rates | npj Digital Medicine

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