Julius Hannink



Project member

Fall risk detection for Parkinson's disease via intelligent gait analysis
Third party funded individual grant
(01/01/2018 - 31/12/2019)

EFI Moves: Individualized Diagnosis and Treatment in motion
FAU own research funding: EFI / ETI / ...
(01/01/2014 - 31/12/2016)


Publications (Download BibTeX)

Journal article
Haji Ghassemi N, Hannink J, Martindale C, et al. (2018)
Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease
Sensors

Journal article
Kautz T, Groh B, Hannink J, et al. (2017)
Activity recognition in beach volleyball using a Deep Convolutional Neural Network
Data Mining and Knowledge Discovery - -

Article in Edited Volumes
Hannink J, Kluge F, Gaßner H, et al. (2017)
Quantifying postural instability in Parkinsonian gait from inertial sensor data during standardised clinical gait tests
2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

Conference contribution
Hannink J, Gaßner H, Winkler J, et al. (2017)
Inertial sensor-based estimation of peak accelerations during heel-strike and loading as markers of impaired gait patterns in PD patients
10. Deutscher Kongress für Parkinson und andere Bewegungsstörungen

Journal article
Pasluosta CF, Steib S, Klamroth S, et al. (2017)
Acute Neuromuscular Adaptations in the Postural Control of Patients with Parkinson’s disease after Perturbed Walking
Frontiers in Aging Neuroscience

Journal article
Hannink J, Ollenschläger M, Kluge F, et al. (2017)
Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis.
Sensors

Journal article
Hannink J, Kautz T, Pasluosta CF, et al. (2017)
Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks.
IEEE Journal of Biomedical and Health Informatics

Journal article
Hannink J, Kautz T, Pasluosta CF, et al. (2017)
Mobile Stride Length Estimation with Deep Convolutional Neural Networks.
IEEE Journal of Biomedical and Health Informatics

Conference contribution
Pasluosta CF, Steib S, Klamroth S, et al. (2016)
Motor Output Complexity in Parkinson's disease Patients during Acute Treadmill Intervention
International Symposium on the Neuromechanics of Human Movement

Journal article
Ter Haar Romeny BM, Bekkers EJ, Zhang J, et al. (2016)
Brain-inspired algorithms for retinal image analysis
Machine Vision and Applications

Journal article
Duits R, Janssen MHJ, Hannink J, et al. (2016)
Locally Adaptive Frames in the Roto-Translation Group and Their Applications in Medical Imaging
Journal of Mathematical Imaging and Vision

Article in Edited Volumes
Hannink J, Duits R, Bekkers E (2014)
Crossing-preserving multi-scale vesselness
Lecture Notes in Computer Science - Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014

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Last updated on 2017-07-31 at 10:59
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