Lars Schwickert
A5045049801- Balance, Gait, and Falls Prevention
- Cerebral Palsy and Movement Disorders
- Gait Recognition and Analysis
- Diabetic Foot Ulcer Assessment and Management
- Context-Aware Activity Recognition Systems
- Stroke Rehabilitation and Recovery
- Prosthetics and Rehabilitation Robotics
- Assistive Technology in Communication and Mobility
- Chronic Disease Management Strategies
- Muscle activation and electromyography studies
- Telemedicine and Telehealth Implementation
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Health, Environment, Cognitive Aging
- Advanced Computing and Algorithms
- Parkinson's Disease Mechanisms and Treatments
- Hip and Femur Fractures
- Advanced Vision and Imaging
- Advanced Technologies in Various Fields
- Mobile Health and mHealth Applications
- Non-Invasive Vital Sign Monitoring
- Frailty in Older Adults
- Optical Imaging and Spectroscopy Techniques
- Mental Health Research Topics
- Indoor and Outdoor Localization Technologies
- Injury Epidemiology and Prevention
Robert Bosch Stiftung
2021-2025
Robert Bosch Hospital
2013-2023
Abstract Background Although digital mobility outcomes (DMOs) can be readily calculated from real-world data collected with wearable devices and ad-hoc algorithms, technical validation is still required. The aim of this paper to comparatively assess validate DMOs estimated using gait six different cohorts, focusing on sequence detection, foot initial contact detection (ICD), cadence (CAD) stride length (SL) estimates. Methods Twenty healthy older adults, 20 people Parkinson’s disease,...
Abstract This study aimed to validate a wearable device’s walking speed estimation pipeline, considering complexity, speed, and bout duration. The goal was provide recommendations on the use of devices for real-world mobility analysis. Participants with Parkinson’s Disease, Multiple Sclerosis, Proximal Femoral Fracture, Chronic Obstructive Pulmonary Congestive Heart Failure, healthy older adults (n = 97) were monitored in laboratory (2.5 h), using lower back device. Two pipelines validated...
Existing mobility endpoints based on functional performance, physical assessments and patient self-reporting are often affected by lack of sensitivity, limiting their utility in clinical practice. Wearable devices including inertial measurement units (IMUs) can overcome these limitations quantifying digital outcomes (DMOs) both during supervised structured real-world conditions. The validity IMU-based methods the real-world, however, is still limited populations. Rigorous validation...
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...
Background This study aimed to explore the acceptability of a wearable device for remotely measuring mobility in Mobilise-D technical validation (TVS), and using digital tools monitor health. Methods Participants ( N = 106) TVS wore waist-worn (McRoberts Dynaport MM + ) one week. Following this, was measured two questionnaires: The Comfort Rating Scale (CRS) previously validated questionnaire. A subset participants n 36) also completed semi-structured interviews further determine their...
Introduction: Accurately assessing people’s gait, especially in real-world conditions and case of impaired mobility, is still a challenge due to intrinsic extrinsic factors resulting gait complexity. To improve the estimation gait-related digital mobility outcomes (DMOs) scenarios, this study presents wearable multi-sensor system (INDIP), integrating complementary sensing approaches (two plantar pressure insoles, three inertial units two distance sensors). Methods: The INDIP technical...
Background Wrist-worn inertial sensors are used in digital health for evaluating mobility real-world environments. Preceding the estimation of spatiotemporal gait parameters within long-term recordings, detection is an important step to identify regions interest where occurs, which requires robust algorithms due complexity arm movements. While exist other sensor positions, a comparative validation applied wrist position on data sets across different disease populations missing. Furthermore,...
Real-world fall events objectively measured by body-worn sensors can improve the understanding of in older people. However, these are rare and hence challenging to capture. Therefore, FARSEEING (FAll Repository for design Smart sElf-adaptive Environments prolonging Independent livinG) consortium associated partners started build up a meta-database real-world falls.Between January 2012 December 2015 more than 300 have been recorded. This is currently largest collection data recorded with...
The L-test is a performance-based measure to assess balance and mobility. Currently, the primary outcome from this test time required finish it. In study we present instrumented (iL-test), an wherein mobility evaluated by means of wearable inertial sensor worn at lower back. We analyzed data 113 people across seven cohorts: healthy adults, chronic obstructive pulmonary disease, multiple sclerosis, congestive heart failure, Parkinson's proximal femoral fracture, transfemoral amputation....
Introduction The clinical assessment of mobility, and walking specifically, is still mainly based on functional tests that lack ecological validity. Thanks to inertial measurement units (IMUs), gait analysis shifting unsupervised monitoring in naturalistic unconstrained settings. However, the extraction clinically relevant parameters from IMU data often depends heuristics-based algorithms rely empirically determined thresholds. These were validated small cohorts supervised Methods Here, a...
There is growing interest in the quantification of gait as part complex motor tasks. This requires events (GEs) to be detected under conditions different from straight walking. study aimed propose and validate a new marker-based GE detection method, which also suitable for curvilinear walking step negotiation. The method was first tested against existing algorithms using data healthy young adults (YA, n = 20) then assessed 10 individuals following five cohorts: older adults, chronic...
Abstract Background: Although digital mobility outcomes (DMOs) can be readily calculated from real-world data collected with wearable devices (WD) and ad-hoc algorithms, technical validation is still required. The aim of this paper to comparatively assess validate DMOs estimated using gait six different cohorts, focusing on sequence detection (GSD), foot initial contact (ICD), cadence (CAD) stride length (SL) estimates. Methods: Twenty healthy older adults, 20 people Parkinson’s disease,...
Measuring mobility in daily life entails dealing with confounding factors arising from multiple sources, including pathological characteristics, patient specific walking strategies, environment/context, and purpose of the task. The primary aim this study is to propose validate a protocol for simulating real-world gait accounting all these within single set observations, while ensuring minimisation participant burden safety.The included eight motor tasks at varying speed, incline/steps,...
Abstract Background: Estimation of walking speed from wearable devices requires combining a set algorithms in single analytical pipeline. The aim this study was to validate pipeline for estimation and assess its performance across different factors (complexity, speed, bout duration) make recommendations on the use validity real-world mobility analysis. Methods: Participants with Parkinson's Disease, Multiple Sclerosis, Proximal Femoral Fracture, Chronic Obstructive Pulmonary Congestive Heart...
<b><i>Background:</i></b> Lying on the floor for a long time after falls, regardless of whether an injury results, remains unsolved health care problem. In order to develop efficient and acceptable fall detection reaction approaches, it is relevant improve understanding circumstances characteristics post-impact responses return or failure pre-fall activities. Falls are seldom observed by others; until now, knowledge about movement kinematics during falls following...
Abstract Accurately assessing people’s gait, especially in real-world conditions and case of impaired mobility, is still a challenge due to intrinsic extrinsic factors resulting gait complexity. To improve the estimation gait-related digital mobility outcomes (DMOs) scenarios, this study presents wearable multi-sensor system (INDIP), integrating complementary sensing approaches (two plantar pressure insoles, three inertial units two distance sensors). The INDIP technical validity was...
Optoelectronic stereophotogrammetric (SP) systems are widely used in human movement research for clinical diagnostics, interventional applications, and as a reference system validating alternative technologies. Regardless of the application, SP exhibit different random systematic errors depending on camera specifications, setup laboratory environment, which hinders comparing data between sessions across systems. While many methods have been proposed to quantify report systems, they rarely...
<sec> <title>BACKGROUND</title> Algorithms estimating real-world digital mobility outcomes (DMOs) are increasingly validated in healthy adults and various disease cohorts. However, their accuracy reliability older after hip fractures, who often walk slowly for short durations, is underexplored. </sec> <title>OBJECTIVE</title> The objective of this study was to examine DMO a fracture cohort, considering walking bout (WB) duration, physical function, days since surgery, aid usage....