A5088917453- Balance, Gait, and Falls Prevention
- Cerebral Palsy and Movement Disorders
- Parkinson's Disease Mechanisms and Treatments
- Diabetic Foot Ulcer Assessment and Management
- Neurological disorders and treatments
- Multiple Sclerosis Research Studies
- Botulinum Toxin and Related Neurological Disorders
- Hereditary Neurological Disorders
- Gait Recognition and Analysis
- Muscle activation and electromyography studies
- Neurogenetic and Muscular Disorders Research
- Genetic Neurodegenerative Diseases
- Assistive Technology in Communication and Mobility
- Effects of Vibration on Health
- Context-Aware Activity Recognition Systems
- Scoliosis diagnosis and treatment
- Stroke Rehabilitation and Recovery
- Delphi Technique in Research
- Telemedicine and Telehealth Implementation
- Prosthetics and Rehabilitation Robotics
- Vehicular Ad Hoc Networks (VANETs)
- Motor Control and Adaptation
- Chronic Disease Management Strategies
- Wireless Body Area Networks
- Musculoskeletal pain and rehabilitation
Universitätsklinikum Erlangen
2016-2025
Fraunhofer Institute for Integrated Circuits
2021-2025
Friedrich-Alexander-Universität Erlangen-Nürnberg
2015-2024
Bayer (Germany)
2020
University of Regensburg
2014
Distinct gait characteristics like short steps and shuffling are prototypical signs commonly observed in Parkinson's disease. Routinely assessed by observation through clinicians, is rated as part of categorical clinical scores. There an increasing need to provide quantitative measurements gait, e.g. detailed information about disease progression. Recently, we developed a wearable sensor-based analysis system diagnostic tool that objectively assesses parameter without the having specialized...
Changes in gait patterns provide important information about individuals' health. To perform sensor based analysis, it is crucial to develop methodologies automatically segment single strides from continuous movement sequences. In this study we developed an algorithm on time-invariant template matching isolate inertial signals. Shoe-mounted gyroscopes and accelerometers were used record data 40 elderly controls, 15 patients with Parkinson's disease geriatric patients. Each stride was...
New smart technologies and the internet of things increasingly play a key role in healthcare wellness, contributing to development novel concepts. These enable comprehensive view an individual’s movement mobility, potentially supporting healthy living as well complementing medical diagnostics monitoring therapeutic outcomes. This overview article specifically addresses shoes, which are becoming one such technology within future health things, since ability walk defines large aspects quality...
The purpose of this study was to assess the concurrent validity and test-retest reliability a sensor-based gait analysis system. Eleven healthy subjects four Parkinson's disease (PD) patients were asked complete tasks whilst wearing two inertial measurement units at their feet. extracted spatio-temporal parameters 1166 strides compared those from reference camera-based motion capture system concerning validity. Test-retest assessed for five three different days in week period. systems highly...
Abstract Physical mobility is essential to health, and patients often rate it as a high-priority clinical outcome. Digital outcomes (DMOs), such real-world gait speed or step count, show promise measures in many medical conditions. However, current research nascent fragmented by discipline. This scoping review maps existing evidence on the utility of DMOs, identifying commonalities across traditional disciplinary divides. In November 2019, 11 databases were searched for records investigating...
Background The development of optimal strategies to treat impaired mobility related ageing and chronic disease requires better ways detect measure it. Digital health technology, including body worn sensors, has the potential directly accurately capture real-world mobility. Mobilise-D consists 34 partners from 13 countries who are working together jointly develop implement a digital assessment solution demonstrate that outcomes have provide better, safer, quicker way assess, monitor, predict...
Estimating spatiotemporal, kinematic, and kinetic movement variables with little obtrusion to the user is critical for clinical sports applications. One possible approach using a sparse inertial sensor setup, where sensors are not placed on all relevant body segments. Here, we investigated if can be estimated similarly accurate from setups as full lower-body setup. We by solving optimal control problems sagittal plane musculoskeletal models, in which minimized an objective that combined...
Robust gait segmentation is the basis for mobile analysis. A range of methods have been applied and evaluated healthy pathological bouts. However, a unified evaluation in Parkinson’s disease (PD) missing. In this paper, we compare four prevalent order to reveal their strengths drawbacks processing. We considered peak detection from event-based methods, two variations dynamic time warping template matching hierarchical hidden Markov models (hHMMs) machine learning methods. To evaluate...
Digital mobility assessment using wearable sensor systems has the potential to capture walking performance in a patient’s natural environment. It enables monitoring of health status and disease progression evaluation interventions real-world situations. In contrast laboratory settings, occurs non-conventional environments under unconstrained uncontrolled conditions. Despite general understanding, there is lack agreed definitions about what constitutes walking, impeding comparison...
Gait impairment and reduced mobility are typical features of idiopathic Parkinson's disease (iPD) atypical parkinsonian disorders (APD). Quantitative gait assessment may have value in the diagnostic workup patients as endpoint clinical trials. The study aimed to identify quantitative parameter differences iPD APD using sensor-based analysis correlate parameters with rating scales.
Background. Gait and balance dysfunction are major symptoms in Parkinson’s disease (PD). Treadmill training improves gait characteristics this population but does not reflect the dynamic nature of controlling during ambulation everyday life contexts. Objective. To evaluate whether postural perturbations treadmill walking lead to superior effects on performance compared with standard training. Methods. In single-blind randomized controlled trial, 43 PD patients (Hoehn & Yahr stage 1-3.5)...
Abstract Background Multiple sclerosis (MS) is a disabling disease affecting the central nervous system and consequently whole body’s functional systems resulting in different gait disorders. Fatigue most common symptom MS with prevalence of 80%. Previous research studied relation between fatigue impairment using stationary analysis short tests (e.g. timed 25 ft walk). However, wearable inertial sensors providing data from longer continuous bouts have not been used to assess parameters MS....
Abstract Background Impaired gait plays an important role for quality of life in patients with Huntington’s disease (HD). Measuring objective parameters HD might provide unbiased assessment motor deficits order to determine potential beneficial effects future treatments. Objective To objectively identify characteristic features using sensor-based analysis. Particularly, were correlated the Unified Disease Rating Scale, total score (TMS), and functional capacity (TFC). Methods Patients...
Digital technologies provide the opportunity to analyze gait patterns in patients with Parkinson's Disease using wearable sensors clinical settings and a home environment. Confirming technical validity of inertial 3D motion capture system is necessary step for application sensor-based analysis. Therefore, objective this study was compare parameters measured by mobile analysis as gold standard. Gait 37 were compared between both systems after performing standardized 5 × 10 m walking test...
Introduction: Cognitive and gait deficits are common symptoms in Parkinson's disease (PD). Motor-cognitive dual tasks (DT) used to explore the interplay between cognition. However, it is unclear if DT performance indicative for cognitive impairment. Therefore, aim of this study was investigate reflected by costs spatio-temporal parameters. Methods: function, single (ST) task were investigated 67 PD patients. Cognition assessed Montreal Assessment (MoCA) followed a standardized, sensor-based...
Mobile gait analysis using wearable inertial measurement units (IMUs) provides valuable insights for the assessment of movement impairments in different neurological and musculoskeletal diseases, example Parkinson's disease (PD). The increase data volume due to arising long-term monitoring requires valid, robust efficient pipelines. In many studies an upstream detection is therefore applied. However, current methods do not provide a way successfully reject non-gait signals. Therefore, we...
Background:Impaired gait and postural stability are cardinal motor symptoms in Parkinson's disease (PD). Treadmill training improves characteristics PD. Objective:This study investigates if perturbations during treadmill improve performance particularly Methods:This work presents secondary outcome measures of a pilot randomized controlled trial. PD patients (n = 43) recruited at the University Hospital Erlangen were randomly allocated to experimental (perturbation training, PTT, n 21) or...
Abstract Wearable sensor systems are of increasing interest in clinical gait analysis. However, little information about dynamics patients under free living conditions is available, due to the challenges integrating such unobtrusively into a patient’s everyday live. To address this limitation, new, fully integrated low power insoles proposed, target applications particularly home-monitoring scenarios. The combine inertial as well pressure sensors and feature wireless synchronization acquire...
Gait symptoms and balance impairment are characteristic indicators for the progression in Parkinson's disease (PD). Current gait assessments mostly focus on straight strides with assumed constant velocity, while acceleration/deceleration turning often ignored. This is either due to set up of typical clinical or technical limitations capture volume. Wearable inertial measurement units a promising unobtrusive technology overcome these limitations. Other phases such as initiation, termination,...