Applied Clinical Informatics, Table of Contents Appl Clin Inform 2014; 05(02): 503-511DOI: 10.4338/ACI-2014-04-RA-0046 Research Article – ehealth2014 special topic Schattauer GmbH Telemonitoring of patients with Parkinson’s disease using inertia sensors N.E. Piro 1 Institute of Medical Engineering, University of Applied Science Ulm , L. Baumann 1 Institute of Medical Engineering, University of Applied Science Ulm , M. Tengler 1 Institute of Medical Engineering, University of Applied Science Ulm , L. Piro 2 Faculty of Mathematics, Ludwig-Maximilians-University Munich , R. Blechschmidt-Trapp 1 Institute of Medical Engineering, University of Applied Science Ulm › Author Affiliations Recommend Article Abstract Full Text PDF Download Keywords KeywordsParkinson’s disease - telehealth - medical informatics - acceleration - rotation References References 1 Hacke W. Neurologie. 13th ed. Heidelberg: Springer; 2010 2 Jimenez-Fernandez S, de Toledo P, del Pozo F. Usability and Interoperability in Wireless Sensor Networks for Patient Telemonitoring in Chronic Disease Management. IEEE Trans Biomed Eng 2013 Sep 5 60 (12) 3331-3339. 3 Patel S, Chen BR, Buckley T, Rednic R, McClure D, Tarsy D, Shih L, Dy J, Welsh M, Bonato P. Home monitoring of patients with Parkinson’s disease via wearable technology and a web-based application. Conf Proc IEEE Eng Med Biol Soc 2010; 2010: 4411-4414. 4 Herrlich S, Spieth S, Nouna R, Zengerle R, Giannola LI, Pardo-Ayala DE, Federico E, Garino P. Ambulatory Treatment and Telemonitoring of Patients with Parkinson’s Disease. In: Wichert R, Eberhardt B, editors. Ambient Assisted Living: Proceedings of the 4th AAL-Congress 2011. January 25–26 Berlin, Germany. Berlin: Springer; 2011. P 295-305 5 Pulliam CL, Eichenseer SR, Goetz CG, Waln O, Hunter CB, Jankovic J. et al. Continuous in-home monitoring of essential tremor. Parkinsonism Relat Disord 2014; Jan 20 (Suppl. 01) 37-40 6 Moore ST, Yungher DA, Morris TR, Dilda V, MacDougall HG, Shine JM, Naismith SL, Lewis SJ. Autonomous identification of freezing of gait in Parkinson’s disease from lower-body segmental accelerometry. J Neuroeng Rehabil 2013; 10: 19. 7 Heldman DA, Filipkowski DE, Riley DE, Whitney CM, Walter BL, Gunzler SA, Giuffrida JP, Mera TO. Automated motion sensor quantification of gait and lower extremity bradykinesia. Conf Proc IEEE Eng Med Biol Soc 2012 2012; 1956-1956. 8 IEEE.. IEEE Standards Glossary. New York: IEEE; c2014 [cited 2014 Mar 28]. Available from: http://www. ieee.org/education_careers/education/standards/standards_glossary.html. 9 HIMSS.. Definition of Interoperability. Chicago: HIMSS; c2012–14 [cited 2014 Mar 28]. Available from: http://www.himss.org/library/interoperability-standards/what-is?navItemNumber=17333. 10 Continua Health Alliance.. Continua Design Guidelines Version 2012. Beaverton (OR): Continua Health Alliance; c2013 [cited 2014 Mar 28] Available from: http://www.continuaalliance.org. 11 Madgwick SOH, Harrison AJL, Vaidyanathan R. Estimation of IMU and MARG orientation using a gradient descent algorithm. IEEE Int Conf Rehabil Robot 2011; 2011: 5975346. 12 Kalkbrenner C, Hacker S, Algorri ME, Blechschmidt-Trapp R. Motion capturing with Inertial Measurement Units and Kinect Tracking of limb movement using optical and orientation information. Proceedings of the 7th International Conference on Biomedical Electronics and Devices: Biodevices 2014 2014 Mar 03–06 Angers, France; p. 120-126 13 Hacker S, Kalkbrenner C, Algorri ME, Blechschmidt-Trapp R. Gait Analysis with IMU Gaining new Orientation Information of the Lower Leg. Proceedings of the 7th International Conference on Biomedical Electronics and Devices: Biodevices 2014 2014 Mar 03–06 Angers, France; p. 127-133. 14 Chen BR, Patel S, Buckley T, Rednic R, McClure DJ, Shih L, Tarsy D, Welsh M, Bonato P. A Web-Based System for Home Monitoring of Patients With Parkinson Disease Using Wearable Sensors. IEEE Trans Biomed Eng 2011; 58 (Suppl. 03) 831-836.
