@inproceedingsFre2015, Author = {Frerk Müller-von Aschwege, Anke Workowski, Detlev Willemsen, Sebastian M Müller und Andreas Hein}, Title = {Heart Rate Prediction for Coronary Artery Disease Patients (CAD): Results of a Clinical Pilot Study}, Year = {2015}, Pages = {828-832}, Month = {5}, Editor = {Ronald Cornet, Lacramioara Stoicu-Tivadar, Alexander Hörbst, Carlos Luis Parra Calderon, Stig Kjær Andersen und Mira Hercigonja-Szekeres}, Publisher = {IOS Press}, Edition = {210}, Booktitle = {Digital Healthcare Empowering Europeans}, Url = {http://ebooks.iospress.nl/volume/digital-healthcare-empowering-europeans-proceedings-of-mie2015}, type = {inproceedings}, note = {This paper describes the results of a pilot study with cardiac patients based on information that can be derived from a smartphone. The idea behind the study is to design a model for estimating the heart rate of a patient before an outdoor walking sess}, Abstract = {This paper describes the results of a pilot study with cardiac patients based on information that can be derived from a smartphone. The idea behind the study is to design a model for estimating the heart rate of a patient before an outdoor walking session for track planning, as well as using the model for guidance during an outdoor session. The model allows estimation of the heart rate several minutes in advance to guide the patient and avoid overstrain before its occurrence. This paper describes the first results of the clinical pilot study with cardiac patients taking β-blockers. 9 patients have been tested on a treadmill and during three outdoor sessions each. The results have been derived and three levels of improvement have been tested by cross validation. The overall result is an average Median Absolute Deviation (MAD) of 4.26 BPM between measured heart rate and smartphone sensor based model estimation.} @COMMENTBibtex file generated on