Fall risk detection for Parkinson's disease via intelligent gait analysis (FallRiskPD)

Third party funded individual grant


Acronym: FallRiskPD

Start date : 01.01.2018

End date : 31.12.2019

Extension date: 31.12.2020

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

An inertial sensor-based gait analysis pipeline for the assessment of real-world stair ambulation parameters (2021) Roth N, Küderle A, Prossel D, Gaßner H, Eskofier B, Kluge F Journal article, Original article Hidden Markov Model based stride segmentation on unsupervised free-living gait data in Parkinson’s disease patients (2021) Roth N, Küderle A, Ullrich M, Gladow T, Marxreiter F, Klucken J, Eskofier B, Kluge F Journal article Automatic clinical gait test detection from inertial sensor data (2020) Fischer S, Ullrich M, Küderle A, Gaßner H, Klucken J, Eskofier B, Kluge F Conference contribution, Conference Contribution Detection of Gait From Continuous Inertial Sensor Data Using Harmonic Frequencies (2020) Ullrich M, Küderle A, Hannink J, Del Din S, Gaßner H, Marxreiter F, Klucken J, et al. Journal article, Original article Unsupervised harmonic frequency-based gait sequence detection for Parkinson’s disease (2019) Ullrich M, Hannink J, Gaßner H, Klucken J, Eskofier B, Kluge F Conference contribution, Conference Contribution FallRiskPD: Long-term fall risk classification for Parkinson’s disease via intelligent sensor-based gait analysis in the home environment (Talk) (2018) Ullrich M, Gladow T, Roth N, Küderle A, Ollenschläger M, Gaßner H, Winkler J, et al. Conference contribution, Abstract of lecture