[HTML][HTML] Wearable sensor technologies to assess motor functions in people with multiple sclerosis: systematic scoping review and perspective

T Woelfle, L Bourguignon, J Lorscheider… - Journal of Medical …, 2023 - jmir.org
Background Wearable sensor technologies have the potential to improve monitoring in
people with multiple sclerosis (MS) and inform timely disease management decisions …

Digital biomarkers in multiple sclerosis

A Dillenseger, ML Weidemann, K Trentzsch, H Inojosa… - Brain sciences, 2021 - mdpi.com
For incurable diseases, such as multiple sclerosis (MS), the prevention of progression and
the preservation of quality of life play a crucial role over the entire therapy period. In MS …

Wearable devices for gait analysis in intelligent healthcare

X Liu, C Zhao, B Zheng, Q Guo, X Duan… - Frontiers in Computer …, 2021 - frontiersin.org
In this study, we review the role of wearable devices in tracking our daily locomotion. We
discuss types of wearable devices that can be used, methods for gait analyses, and multiple …

A deep learning approach for gait event detection from a single Shank-Worn IMU: validation in healthy and neurological cohorts

R Romijnders, E Warmerdam, C Hansen, G Schmidt… - Sensors, 2022 - mdpi.com
Many algorithms use 3D accelerometer and/or gyroscope data from inertial measurement
unit (IMU) sensors to detect gait events (ie, initial and final foot contact). However, these …

Validity and reliability of inertial measurement units on lower extremity kinematics during running: A systematic review and meta-analysis

Z Zeng, Y Liu, X Hu, M Tang, L Wang - Sports Medicine-Open, 2022 - Springer
Abstract Background Inertial measurement units (IMUs) are useful in monitoring running and
alerting running-related injuries in various sports settings. However, the quantitative …

Inertial sensor-based gait parameters reflect patient-reported fatigue in multiple sclerosis

AA Ibrahim, A Küderle, H Gaßner, J Klucken… - … of neuroengineering and …, 2020 - Springer
Background Multiple sclerosis (MS) is a disabling disease affecting the central nervous
system and consequently the whole body's functional systems resulting in different gait …

Normative database of spatiotemporal gait parameters using inertial sensors in typically developing children and young adults

S Voss, J Joyce, A Biskis, M Parulekar, N Armijo… - Gait & posture, 2020 - Elsevier
Background Inertial sensors are increasingly useful to clinicians and researchers to detect
gait deficits. Reference values are necessary for comparison to children with gait …

The contribution of machine learning in the validation of commercial wearable sensors for gait monitoring in patients: a systematic review

T Jourdan, N Debs, C Frindel - Sensors, 2021 - mdpi.com
Gait, balance, and coordination are important in the development of chronic disease, but the
ability to accurately assess these in the daily lives of patients may be limited by traditional …

Wearable inertial sensors are highly sensitive in the detection of gait disturbances and fatigue at early stages of multiple sclerosis

R Müller, D Hamacher, S Hansen, P Oschmann… - BMC neurology, 2021 - Springer
Background The aim of the current study was to examine multiple gait parameters obtained
by wearable inertial sensors and their sensitivity to clinical status in early multiple sclerosis …

Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases

R Romijnders, F Salis, C Hansen, A Küderle… - Frontiers in …, 2023 - frontiersin.org
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 …