.publications


Authors: Nina Ellrich, Kasimir Niermeyer, Daniela Peto, Julian Decker, Urban M Fietzek, Sabrina Katzdobler, Günter U Höglinger, Klaus Jahn, Andreas Zwergal, Max Wuehr

Precision Balance Assessment in Parkinson’s Disease: Utilizing Vision-Based 3D Pose Tracking for Pull Test Analysis

– 2024 – Sensors, vol. 24, p. 3673

Abstract : Postural instability is a common complication in advanced Parkinson’s disease (PD) associated with recurrent falls and fall-related injuries. The test of retropulsion, consisting of a rapid balance perturbation by a pull in the backward direction, is regarded as the gold standard for evaluating postural instability in PD and is a key component of the neurological examination and clinical rating in PD (e.g., MDS-UPDRS). However, significant variability in test execution and interpretation contributes to a low intra- and inter-rater test reliability. Here, we explore the potential for objective, vision-based assessment of the pull test (vPull) using 3D pose tracking applied to single-sensor RGB-Depth recordings of clinical assessments. The initial results in a cohort of healthy individuals (n = 15) demonstrate overall excellent agreement of vPull-derived metrics with the gold standard marker-based motion capture. Subsequently, in a cohort of PD patients and controls (n = 15 each), we assessed the inter-rater reliability of vPull and analyzed PD-related impairments in postural response (including pull-to-step latency, number of steps, retropulsion angle). These quantitative metrics effectively distinguish healthy performance from and within varying degrees of postural impairment in PD. vPull shows promise for straightforward clinical implementation with the potential to enhance the sensitivity and specificity of postural instability assessment and fall risk prediction in PD. … read on


Authors: Julian Decker, Lukas Boborzi, Roman Schniepp, Klaus Jahn, Max Wuehr

Mobile Spatiotemporal Gait Segmentation Using an Ear-Worn Motion Sensor and Deep Learning

– 2024

Abstract : Mobile health technologies enable continuous, quantitative assessment of mobility and gait in real-world environments, facilitating early diagnosis of gait disorders, disease progression monitoring, and prediction of adverse events like falls. Traditionally, mobile gait assessment predominantly relied on body-fixed sensors positioned at the feet or lower trunk. Here, we investigate the potential of an algorithm utilizing an ear-worn motion sensor for spatiotemporal segmentation of gait patterns. We collected 3D acceleration profiles from the ear-worn sensor during varied walking speeds in 53 healthy adults. Temporal convolutional networks were trained to detect stepping sequences and predict spatial relations between steps. The resulting algorithm, mEar, accurately detects initial and final ground contacts (F1 score of 99% and 91%, respectively). It enables determination of temporal and spatial gait cycle characteristics (among others stride time and stride length) with good to excellent validity at a precision sufficient to monitor clinically relevant changes in walking speed, stride-to-stride variability, and side asymmetry. This study highlights the ear as a viable site for monitoring gait and proposes its potential integration with in-ear vital sign monitoring. Such integration offers a practical approach to comprehensive health monitoring and telemedical applications, by integrating multiple sensors in a single anatomical location. … read on


Authors: Lukas Boborzi, Julian Decker, Razieh Rezaei, Roman Schniepp, Max Wuehr

Human activity recognition in a free-living environment using an ear-worn motion sensor

– 2024 – Sensors, vol. 24, p. 2665

Abstract : Human activity recognition (HAR) technology enables continuous behavior monitoring, which is particularly valuable in healthcare. This study investigates the viability of using an ear-worn motion sensor for classifying daily activities, including lying, sitting/standing, walking, ascending stairs, descending stairs, and running. Fifty healthy participants (between 20 and 47 years old) engaged in these activities while under monitoring. Various machine learning algorithms, ranging from interpretable shallow models to state-of-the-art deep learning approaches designed for HAR (i.e., DeepConvLSTM and ConvTransformer), were employed for classification. The results demonstrate the ear sensor’s efficacy, with deep learning models achieving a 98% accuracy rate of classification. The obtained classification models are agnostic regarding which ear the sensor is worn and robust against moderate variations in sensor orientation (e.g., due to differences in auricle anatomy), meaning no initial calibration of the sensor orientation is required. The study underscores the ear’s efficacy as a suitable site for monitoring human daily activity and suggests its potential for combining HAR with in-ear vital sign monitoring. This approach offers a practical method for comprehensive health monitoring by integrating sensors in a single anatomical location. This integration facilitates individualized health assessments, with potential applications in tele-monitoring, personalized health insights, and optimizing athletic training regimes. … read on


Author: Julian Decker

Kopf-Rumpf Koordination bei Gesunden im Altersverlauf und bei Patienten mit bilateraler Vestibulopathie

– 2023

Abstract : Die vorliegende Arbeit befasst sich mit dem dynamischen System der Kopf-Rumpf Koordination verschiedener Altersgruppen sowie Patienten mit einer bilateralen Vestibulopathie bei unterschiedlichen Ganggeschwindigkeiten und kognitivem Dual Task Paradigma. Ziel der Arbeit ist es zu untersuchen, in welcher Weise sich die Koordination in den Altersgruppen bei Gesunden sowie in der Gruppe der Patienten mit bilateraler Vestibulopathie (BVP) unterscheidet. Da sowohl das vestibuläre als auch das visuelle System direkt hiervon abhängig sind, kommt dieser Koordinationsleistung beim Gehen und der posturalen Kontrolle eine wichtige Funktion zu. Von besonderem Interesse ist es einerseits zu messen, ob bei allen Gruppen die Kopfbewegung bzw. die einwirkenden Kräfte sich ähneln und andererseits zu untersuchen, ob Hinweise auf kompensatorische Mechanismen zu finden sind. Hierzu wurde zunächst eine geeignete Messmethode mittels marker-basiertem 3-D Motion Tracking und kombinierten Inertialsensoren etabliert sowie ein reliables Versuchsprotokoll definiert. Anschließend wurden für die unterschiedlichen gesunden Altersgruppen (20-40 Jahre, 40-60 Jahre, 60-80 Jahre) sowie für die Gruppe mit BVP, Probanden rekrutiert. Erfasst wurden hierbei die Rumpf-Kopf-Position, die Beschleunigung und die Drehgeschwindigkeit der Rumpf-/Kopfpartie. Die vorliegende Arbeit konnte zeigen, dass Patienten mit einer BVP in Zusammenschau aller gemessenen Parameter sowie im Vergleich mit vorangegangenen Studien Kompensationsmechanismen entwickeln, um ihr sensorisches Defizit auszugleichen. Lediglich in wenigen … … read on


Authors: Julian Decker, S Kollmansperger, K Jahn, M Wuehr, J Decker

A non-invasive vestibular prosthesis by means of online, low-intensity noisy galvanic vestibular stimulation (nGVS)

Abstract : Chronic loss of vestibular sensation (bilateral vestibulopathy) results in sustained postural instability during standing and walking, especially in situations where other sensory sources are not available, eg, while walking in darkness or on uneven ground [9]. Consequently, patients with limited vestibular feedback suffer from reduced mobility and live with an increased risk of falling [11]. Disturbed vestibular function is not limited to peripheral bilateral vestibulopathy (BVP) but can also be caused by central dysfunction in neurodegenerative disorders such as Parkinson’s disease [8]. Current therapeutic options in vestibular hypofunction are mainly based on vestibular rehabilitation therapy with training of balance and eye-head coordination by physical therapists (Fig. 1A). However, in most cases the training only results in partial relief of symptoms [10]. Two new therapeutic alternatives are currently under development that directly target vestibular dysfunctions. The first approach consists of a vestibular implant (Fig. 1B), which has shown promising effects in alleviating postural symptoms and other signs of vestibular hypofunction in selected patients [1]. Nevertheless, the advantages of such an invasive vestibular implant must be carefully balanced against the surgical risks and potential side effects. The second new therapeutic approach aims to amplify residual vestibular function in patients through non-invasive noise stimulation of the vestibular periphery (Fig. 1C)[12]. Non-invasive noisy galvanic vestibular stimulation (nGVS) is a technique using the application of weak sensory noise through subthreshold electrical stimulation to enhance vestibular … … read on

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