A review on accelerometry-based gait analysis and emerging clinical applications
Gait analysis continues to be an important technique for many clinical applications to
diagnose and monitor certain diseases. Many mental and physical abnormalities cause …
diagnose and monitor certain diseases. Many mental and physical abnormalities cause …
Spatiotemporal gait analysis of older persons in clinical practice and research: Which parameters are relevant?
U Lindemann - Zeitschrift für Gerontologie und Geriatrie, 2020 - Springer
For older persons walking is a basic activity of daily life which characterizes the person's
functional mobility. Therefore, the improvement of walking performance is a major clinical …
functional mobility. Therefore, the improvement of walking performance is a major clinical …
Accurate ambulatory gait analysis in walking and running using machine learning models
Wearable sensors have been proposed as alternatives to traditional laboratory equipment
for low-cost and portable real-time gait analysis in unconstrained environments. However …
for low-cost and portable real-time gait analysis in unconstrained environments. However …
Towards inertial sensor based mobile gait analysis: Event-detection and spatio-temporal parameters
The aim of this study was to assess the validity and test-retest reliability of an inertial
measurement unit (IMU) system for gait analysis. Twenty-four healthy subjects conducted a …
measurement unit (IMU) system for gait analysis. Twenty-four healthy subjects conducted a …
Detecting free-living steps and walking bouts: validating an algorithm for macro gait analysis
Research suggests wearables and not instrumented walkways are better suited to quantify
gait outcomes in clinic and free-living environments, providing a more comprehensive …
gait outcomes in clinic and free-living environments, providing a more comprehensive …
Measuring joint kinematics of treadmill walking and running: Comparison between an inertial sensor based system and a camera-based system
C Nüesch, E Roos, G Pagenstert… - Journal of biomechanics, 2017 - Elsevier
Inertial sensor systems are becoming increasingly popular for gait analysis because their
use is simple and time efficient. This study aimed to compare joint kinematics measured by …
use is simple and time efficient. This study aimed to compare joint kinematics measured by …
3D-printed piezoelectric PLA-based insole for event detection in gait analysis
Detecting human movement is crucial for the control of lower limb wearable robotics
designed to assist daily activities or rehabilitation tasks. Sensorized insoles present a viable …
designed to assist daily activities or rehabilitation tasks. Sensorized insoles present a viable …
Peripheral neuropathy in Parkinson's disease: prevalence and functional impact on gait and balance
MF Corrà, N Vila-Chã, A Sardoeira, C Hansen… - Brain, 2023 - academic.oup.com
Peripheral neuropathy is a common problem in patients with Parkinson's disease.
Peripheral neuropathy's prevalence in Parkinson's disease varies between 4.8–55 …
Peripheral neuropathy's prevalence in Parkinson's disease varies between 4.8–55 …
Wearables for gait and balance assessment in the neurological ward-study design and first results of a prospective cross-sectional feasibility study with 384 inpatients
FP Bernhard, J Sartor, K Bettecken, MA Hobert… - BMC neurology, 2018 - Springer
Background Deficits in gait and balance are common among neurological inpatients.
Currently, assessment of these patients is mainly subjective. New assessment options using …
Currently, assessment of these patients is mainly subjective. New assessment options using …
Towards an inertial sensor-based wearable feedback system for patients after total hip arthroplasty: Validity and applicability for gait classification with gait kinematics …
Patients after total hip arthroplasty (THA) suffer from lingering musculoskeletal restrictions.
Three-dimensional (3D) gait analysis in combination with machine-learning approaches is …
Three-dimensional (3D) gait analysis in combination with machine-learning approaches is …