title: ECG on the road: robust and unobtrusive estimation of heart rate.
abstract: Modern automobiles include an increasing number of assistance systems to increase the driver's safety. This feasibility study investigated unobtrusive capacitive ECG measurements in an automotive environment. Electrodes integrated into the driving seat allowed to measure a reliable ECG in 86% of the drivers; when only (light) cotton clothing was worn by the drivers, this value increased to 95%. Results show that an array of sensors is needed that can adapt to the different drivers and sitting positions. Measurements while driving show that traveling on the highway does not distort the signal any more than with the car engine turned OFF, whereas driving in city traffic results in a lowered detection rate due to the driver's heavier movements. To enable robust and reliable estimation of heart rate, an algorithm is presented (based on principal component analysis) to detect and discard time intervals with artifacts. This, then, allows a reliable estimation of heart rate of up to 61% in city traffic and up to 86% on the highway: as a percentage of the total driving period with at least four consecutive QRS complexes.
authors.affiliation: Chair of Medical Information Technology, RWTH Aachen University, Aachen, Germany. wartzek@hia.rwth-aachen.de
authors.forename: Tobias
authors.initials: T
authors.lastname: Wartzek
authors.forename: Benjamin
authors.initials: B
authors.lastname: Eilebrecht
authors.forename: Jeroen
authors.initials: J
authors.lastname: Lem
authors.forename: Hans-Joachim
authors.initials: HJ
authors.lastname: Lindner
authors.forename: Steffen
authors.initials: S
authors.lastname: Leonhardt
authors.forename: Marian
authors.initials: M
authors.lastname: Walter
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001334:Automobile Driving; D001336:Automobiles; D001698:Biomedical Engineering; D015716:Electrocardiography, Ambulatory / Q000295:instrumentation* / Q000379:methods*; D005240:Feasibility Studies; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D025341:Principal Component Analysis; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted