@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 patientsbased on information that can be derived from a smartphone. The idea behind thestudy is to design a model for estimating the heart rate of a patient before anoutdoor walking sess},Abstract = {This paper describes the results of a pilot study with cardiac patientsbased on information that can be derived from a smartphone. The idea behind thestudy is to design a model for estimating the heart rate of a patient before anoutdoor walking session for track planning, as well as using the model forguidance during an outdoor session. The model allows estimation of the heart rateseveral minutes in advance to guide the patient and avoid overstrain before itsoccurrence. This paper describes the first results of the clinical pilot study withcardiac patients taking β-blockers. 9 patients have been tested on a treadmill andduring three outdoor sessions each. The results have been derived and three levelsof improvement have been tested by cross validation. The overall result is anaverage Median Absolute Deviation (MAD) of 4.26 BPM between measured heartrate and smartphone sensor based model estimation.} @COMMENTBibtex file generated on