Prof. Dr. Jochen Klucken



Organisationseinheit


Molekular-Neurologische Abteilung in der Neurologischen Klinik
Medizinische Fakultät



Projektleitung


Ganganalyse bei geriatrischen Patienten mittels mobiler Sensorsysteme und maschinellem Lernen zur Prädiktion des Sturzrisikos
Prof. Dr. Björn Eskofier; Prof. Dr. Jochen Klucken
(15.01.2018 - 15.01.2021)

FallRiskPD: Sturzrisiko-Erkennung beim Parkinson-Syndrom durch intelligente Ganganalyse
Prof. Dr. Björn Eskofier; Prof. Dr. Jochen Klucken; Prof. Dr. Jürgen Winkler
(01.01.2018 - 31.12.2019)

moveIT: A novel digital health pathway enables healthcare technologies for gait&falls in Parkinson’s disease
Prof. Dr. Jochen Klucken
(01.01.2018 - 31.12.2018)

BayMed-Sleep: Projektbeschreibung SKmB – Schlafkur mit Begleitanalyse
Prof. Dr. Björn Eskofier; Prof. Dr. Jochen Klucken
(01.12.2017 - 30.09.2019)

EFIMoves: EFI Moves: Individualized Diagnosis and Treatment in motion
Prof. Dr. Jochen Klucken; Prof. Dr. Jürgen Winkler
(01.01.2014 - 31.12.2017)


Mitarbeit in Forschungsprojekten


moveIT: A novel digital health pathway enables healthcare technologies for gait&falls in Parkinson’s disease
Prof. Dr. Jochen Klucken
(01.01.2018 - 31.12.2018)

BayMed-mGL: Mobile GaITLab: Algorithmik für den Einsatz im Patientenalltag
Prof. Dr. Björn Eskofier
(01.08.2017 - 31.01.2019)

(E-Home-Center):
MotionLab@Home: Multimodales Bewegungsanalysesystem zum Therapiemonitoring
Prof. Dr. Björn Eskofier
(01.10.2015 - 31.12.2016)


Publikationen (Download BibTeX)

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Timotius, I., Canneva, F., Minakaki, G., Pasluosta, C.F., Moceri, S., Casadei, N.,... Eskofier, B. (2018). Dynamic footprint based locomotion sway assessment in α-synucleinopathic mice using Fast Fourier Transform and Low Pass Filter. Journal of Neuroscience Methods, 296, 1-11. https://dx.doi.org/10.1016/j.jneumeth.2017.12.004
Timotius, I., Canneva, F., Minakaki, G., Pasluosta, C.F., Moceri, S., Casadei, N.,... Eskofier, B. (2018). Dynamic footprints of α-synucleinopathic mice recorded by CatWalk gait analysis. Data in Brief, 17, 189-193. https://dx.doi.org/10.1016/j.dib.2017.12.067
Ullrich, M., Gladow, T., Roth, N., Küderle, A., Ollenschläger, M., Gaßner, H.,... Eskofier, B. (2018, July). FallRiskPD: Long-term fall risk classification for Parkinson’s disease via intelligent sensor-based gait analysis in the home environment (Talk). Paper presentation at European Falls Festival 2018, Manchester, GB.
Steib, S., Klamroth, S., Gaßner, H., Pasluosta, C.F., Eskofier, B., Winkler, J.,... Pfeifer, K. (2018). Gait adaptations to treadmill training in Parkinson’s patients: effects of perturbation, sustainability, and moderators. In Murphy, M., Boreham, C., De Vito, G., Tsolakidis, E. (Eds.), Book of Abstracts (pp. 335).
Hannink, J., Kautz, T., Pasluosta, C.F., Barth, J., Schülein, S., Gassmann, K.-G.,... Eskofier, B. (2018). Mobile Stride Length Estimation with Deep Convolutional Neural Networks. IEEE Journal of Biomedical and Health Informatics, 22(2), 354 - 362. https://dx.doi.org/10.1109/JBHI.2017.2679486
Pasluosta, C.F., Hannink, J., Gaßner, H., von Tscharner, V., Winkler, J., Klucken, J., & Eskofier, B. (2018). Motor output complexity in Parkinson's disease during quiet standing and walking: Analysis of short-term correlations using the entropic half-life. Human movement science, 58, 185-194. https://dx.doi.org/10.1016/j.humov.2018.02.005
Kluge, F., Hannink, J., Pasluosta, C.F., Klucken, J., Gaßner, H., Gelse, K.,... Krinner, S. (2018). Pre-operative sensor-based gait parameters predict functional outcome after total knee arthroplasty. Gait & Posture, 66, 194-200. https://dx.doi.org/10.1016/j.gaitpost.2018.08.026
Timotius, I., Moceri, S., Plank, A.-C., Habermeyer, J., Canneva, F., Casadei, N.,... von Hörsten, S. (2018). Rodent’s Stride Length Depends on Body Size: Implications for CatWalk Assay. In Robyn Grant, Tom Allen, Andrew Spink, Matthew Sullivan (Eds.), Measuring Behavior 2018. Manchester, GB: UK.
Klamroth, S., Gaßner, H., Winkler, J., Eskofier, B., Klucken, J., Pfeifer, K., & Steib, S. (2018). Sensomotorisches Laufbandtraining in der Rehabilitation von Gangstörungen bei Patienten mit Morbus Parkinson. In Deutsche Rentenversicherung Bund (Eds.), 27. Rehabilitationswissenschaftliches Kolloquium: Rehabilitation bewegt! (pp. 356-357).
Timotius, I., Canneva, F., Minakaki, G., Moceri, S., Casadei, N., Riess, O.,... Klucken, J. (2018). Systematic Data Analysis and Data Mining in Gait Analysis by Heat Mapping. In Robyn Grant, Tom Allen, Andrew Spink (Eds.), Measuring Behavior 2018. Manchester, GB: UK.

Zuletzt aktualisiert 2016-03-06 um 02:01