title: Beat-to-beat heart rate estimation fusing multimodal video and sensor data.
abstract: Coverage and accuracy of unobtrusively measured biosignals are generally relatively low compared to clinical modalities. This can be improved by exploiting redundancies in multiple channels with methods of sensor fusion. In this paper, we demonstrate that two modalities, skin color variation and head motion, can be extracted from the video stream recorded with a webcam. Using a Bayesian approach, these signals are fused with a ballistocardiographic signal obtained from the seat of a chair with a mean absolute beat-to-beat estimation error below 25 milliseconds and an average coverage above 90% compared to an ECG reference.
authors: Chair for Medical Information Technology, Helmholtz Institute, RWTH Aachen University, 52074 Aachen, Germany.
authors: Christoph Hoog
authors: CH
authors: Antink
authors: Chair for Medical Information Technology, Helmholtz Institute, RWTH Aachen University, 52074 Aachen, Germany.
authors: Hanno
authors: H
authors: Gao
authors: Chair for Medical Information Technology, Helmholtz Institute, RWTH Aachen University, 52074 Aachen, Germany.
authors: Christoph
authors: C
authors: Brüser
authors: Chair for Medical Information Technology, Helmholtz Institute, RWTH Aachen University, 52074 Aachen, Germany.
authors: Steffen
authors: S
authors: Leonhardt
keywords: (170.0170) Medical optics and biotechnology; (280.0280) Remote sensing and sensors