Implementation and Validation of a Stride Length Estimation Algorithm, Using a Single Basic Inertial Sensor on Healthy Subjects and Patients Suffering from Parkinson’s Disease

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ISSN Print: 1949-4998
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"Implementation and Validation of a Stride Length Estimation Algorithm, Using a Single Basic Inertial Sensor on Healthy Subjects and Patients Suffering from Parkinson’s Disease"
written by Benoît Sijobert, Mourad Benoussaad, Jennifer Denys, Roger Pissard-Gibollet, Christian Geny, Christine Azevedo Coste,
published by Health, Vol.7 No.6, 2015

has been cited by the following article(s):

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[2]	Reducing the device complexity for 3D human pose estimation: A deep learning approach using monocular camera and IMUs
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[3]	Gait on the edge: A proposed wearable for continuous real-time monitoring beyond the lab
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[4]	Inertial sensors for gait monitoring and design of adaptive controllers for exoskeletons after stroke: a feasibility study
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[5]	Human gait modeling with step length estimation based on single foot mounted inertial sensors
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[6]	Convolutional Neural Network for Estimating Spatiotemporal and Kinematic Gait Parameters using a Single Inertial Sensor*
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[7]	Application of artificial intelligence for kinematic signal processing in diagnostics of Parkinson's disease and atypical parkinsonisms: doctoral dissertation
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[11]	On the Reliability of Wearable Sensors for Assessing Movement Disorder-Related Gait Quality and Imbalance: A Case Study of Multiple Sclerosis
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[13]	Adaptive Inertial Sensor-Based Step Length Estimation Model
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[14]	Three-dimensional continuous gait trajectory estimation using single Shank-Worn inertial measurement units and clinical walk test application
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[16]	Prescreening MCI and Dementia Using Shank-Mounted IMU During TUG Task
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[17]	Step Length Estimation with Wearable Wrist Sensor using ANN
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[18]	Walking Distance Estimation Using a Shank-Mounted Inertial Measurement Unit and Vertical Distance Sensor
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[23]	Inertial Sensor-Based Step Length Estimation Model by Means of Principal Component Analysis
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[24]	Spatio-temporal gait parameters obtained from foot-worn inertial sensors are reliable in healthy adults in single-and dual-task conditions
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[34]	Inertial measurement unit compared to an optical motion capturing system in post-stroke individuals with foot-drop syndrome
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[35]	Stride Length Estimation Based on a Single Shank's Gyroscope
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[36]	Which Gait Parameters and Walking Patterns Show the Significant Differences Between Parkinson's Disease and Healthy Participants?
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[40]	Estimation of spatio-temporal parameters of gait from magneto-inertial measurement units: multicenter validation among Parkinson, mildly cognitively …
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[41]	Assistive control of motion in sensorimotor impairments based on functional electrical stimulation
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[42]	A sensor fusion approach for inertial sensors based 3D kinematics and pathological gait assessments: toward an adaptive control of stimulation in post-stroke subjects
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[43]	A machine learning approach to distinguish Parkinson's disease (PD) patient's with shuffling gait from older adults based on gait signals using 3D motion …
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[44]	Auto Detection of Parkinson's Disease based on Objective Measurement of Gait Parameters using Wearable Sensors
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[45]	Biomechanical Signal Analysis for Evaluation of Gait in Parkinson's Disease
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[46]	MANA: Designing and Validating a User-Centered Mobility Analysis System
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[48]	Bertoli M, Cereatti A, Trojaniello D, Avanzino L, Pelosin E, Del Din S, Rochester L, Ginis P, Bekkers EMJ, Mirelman A, Hausdorff JM, Della Croce U.
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[50]	Effects of sensitive electrical stimulation‐based somatosensory cueing in Parkinson's disease gait and freezing of gait assessment
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[51]	Development and Validation of Real-Time Methods for Estimating Temporal-Spatial Parameters and Knee Joint Angles during Gait using Inertial Measurement Units
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[52]	Development And Validation of Real-Time Methods For Estimating Temporal-Spatial Parameters And Knee Joint Anglesduring Gait Using Inertial Measurement …
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[53]	FES-drop-foot correction: from pre-programmed patterns to online modulation
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[55]	The development and concurrent validity of a real-time algorithm for temporal gait analysis using inertial measurement units
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[56]	Design and Implementation of a Smartphone Application for Estimating Foot Clearance during Walking
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[57]	Walk distance estimation using an ankle-mounted inertial measurement unit
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[61]	THÈSE POUR OBTENIR LE GRADE DE DOCTEUR DE L'UNIVERSITÉ DE MONTPELLIER
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[62]	ISOLATION AND CHARACTERIZATION OF BIO ACTIVE SECONDARY METABOLITES FROM MARINE SPECIES OF INDIAN COAST WITH RESPECT TO …
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[63]	Effects of sensitive electrical stimulation based cueing in Parkinson's disease: a preliminary study
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[64]	Robust Foot Clearance Estimation Based on the Integration of Foot-Mounted IMU Acceleration Data
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[1]	Assessment of a system for gait parameter extraction and individual feature classification using artificial neural networks and a low-cost accelerometer Measurement Science and Technology, 2025 DOI:10.1088/1361-6501/ad817b

[2]	Algorithm for Gait Parameters Estimation Based on Heel-Mounted Inertial Sensors IEEE Sensors Journal, 2024 DOI:10.1109/JSEN.2024.3410402

[3]	Short Step Length Estimation for Parkinson's Disease Patients by Using Fusion Data From Camera-IMU in Smart Glasses IEEE Transactions on Biomedical Engineering, 2024 DOI:10.1109/TBME.2024.3367923

[4]	Inertial sensors for gait monitoring and design of adaptive controllers for exoskeletons after stroke: a feasibility study Frontiers in Bioengineering and Biotechnology, 2023 DOI:10.3389/fbioe.2023.1208561

[5]	Reducing the device complexity for 3D human pose estimation: A deep learning approach using monocular camera and IMUs Engineering Applications of Artificial Intelligence, 2023 DOI:10.1016/j.engappai.2023.106639

[6]	Investigating gait-responsive somatosensory cueing from a wearable device to improve walking in Parkinson’s disease BioMedical Engineering OnLine, 2023 DOI:10.1186/s12938-023-01167-y

[7]	Convolutional Neural Network for Estimating Spatiotemporal and Kinematic Gait Parameters using a Single Inertial Sensor* 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023 DOI:10.1109/EMBC40787.2023.10340904

[8]	Gait on the Edge: A Proposed Wearable for Continuous Real-Time Monitoring Beyond the Laboratory IEEE Sensors Journal, 2023 DOI:10.1109/JSEN.2023.3328054

[9]	Analysis of Motor Skills for Parkinson’s Disease Diagnosis 2023 OITS International Conference on Information Technology (OCIT), 2023 DOI:10.1109/OCIT59427.2023.10430597

[10]	Predicting Axial Impairment in Parkinson’s Disease through a Single Inertial Sensor Sensors, 2022 DOI:10.3390/s22020412

[11]	Step Length Estimation with Wearable Wrist Sensor using ANN 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022 DOI:10.1109/EMBC48229.2022.9871219

[12]	Three-dimensional continuous gait trajectory estimation using single Shank-Worn inertial measurement units and clinical walk test application Scientific Reports, 2022 DOI:10.1038/s41598-022-09372-w

[13]	Adaptive Inertial Sensor-Based Step Length Estimation Model Sensors, 2022 DOI:10.3390/s22239452

[14]	Prescreening MCI and Dementia Using Shank-Mounted IMU During TUG Task IEEE Sensors Journal, 2022 DOI:10.1109/JSEN.2022.3220238

[15]	Prescreening MCI and Dementia Using Shank-Mounted IMU During TUG Task IEEE Sensors Journal, 2022 DOI:10.1109/JSEN.2022.3220238

[16]	Predicting Axial Impairment in Parkinson’s Disease through a Single Inertial Sensor Sensors, 2022 DOI:10.3390/s22020412

[17]	Adaptive Inertial Sensor-Based Step Length Estimation Model Sensors, 2022 DOI:10.3390/s22239452

[18]	Les centrales inertielles au service de la prévention, de l’évaluation et de la rééducation dans le cadre du bien vieillir Revue du Podologue, 2021 DOI:10.1016/j.revpod.2021.09.005

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[20]	Inertial Sensor-Based Step Length Estimation Model by Means of Principal Component Analysis Sensors, 2021 DOI:10.3390/s21103527

[21]	A Pilot Study to Validate a Wearable Inertial Sensor for Gait Assessment in Older Adults with Falls Sensors, 2021 DOI:10.3390/s21134334

[22]	A Sensor-Based Multichannel FES System to Control Knee Joint and Reduce Stance Phase Asymmetry in Post-Stroke Gait Sensors, 2021 DOI:10.3390/s21062134

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[24]	Inertial Sensor-Based Step Length Estimation Model by Means of Principal Component Analysis Sensors, 2021 DOI:10.3390/s21103527

[25]	A Pilot Study to Validate a Wearable Inertial Sensor for Gait Assessment in Older Adults with Falls Sensors, 2021 DOI:10.3390/s21134334

[26]	Walking Distance Estimation Using a Shank-Mounted Inertial Measurement Unit and Vertical Distance Sensor IEEE Sensors Journal, 2021 DOI:10.1109/JSEN.2021.3080620

[27]	Les centrales inertielles au service de la prévention, de l’évaluation et de la rééducation dans le cadre du bien vieillir Revue du Podologue, 2021 DOI:10.1016/j.revpod.2021.09.005

[28]	Design of a Machine Learning-Assisted Wearable Accelerometer-Based Automated System for Studying the Effect of Dopaminergic Medicine on Gait Characteristics of Parkinson’s Patients Journal of Healthcare Engineering, 2020 DOI:10.1155/2020/1823268

[29]	Wearable Inertial Measurement Units for Assessing Gait in Real-World Environments Frontiers in Physiology, 2020 DOI:10.3389/fphys.2020.00090

[30]	Validity and reliability of wearable inertial sensors in healthy adult walking: a systematic review and meta-analysis Journal of NeuroEngineering and Rehabilitation, 2020 DOI:10.1186/s12984-020-00685-3

[31]	Characterizing the Impact of Sampling Rate and Filter Design on the Morphology of Lower Limb Angular Velocities IEEE Sensors Journal, 2019 DOI:10.1109/JSEN.2019.2899724

[32]	Which Gait Parameters and Walking Patterns Show the Significant Differences Between Parkinson’s Disease and Healthy Participants? Biosensors, 2019 DOI:10.3390/bios9020059

[33]	Use of Wearable Sensor Technology in Gait, Balance, and Range of Motion Analysis Applied Sciences, 2019 DOI:10.3390/app10010234

[34]	Inertial measurement unit compared to an optical motion capturing system in post-stroke individuals with foot-drop syndrome Annals of Physical and Rehabilitation Medicine, 2019 DOI:10.1016/j.rehab.2019.03.007

[35]	Which Gait Parameters and Walking Patterns Show the Significant Differences Between Parkinson’s Disease and Healthy Participants? Biosensors, 2019 DOI:10.3390/bios9020059

[36]	Mobile Gait Analysis Using Foot-Mounted UWB Sensors Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2019 DOI:10.1145/3351231

[37]	Stride Length Estimation Based on a Single Shank's Gyroscope IEEE Sensors Letters, 2019 DOI:10.1109/LSENS.2019.2942177

[38]	Use of Wearable Sensor Technology in Gait, Balance, and Range of Motion Analysis Applied Sciences, 2019 DOI:10.3390/app10010234

[39]	Estimation of spatio-temporal parameters of gait from magneto-inertial measurement units: multicenter validation among Parkinson, mildly cognitively impaired and healthy older adults BioMedical Engineering OnLine, 2018 DOI:10.1186/s12938-018-0488-2

[40]	A Validation Study of Freezing of Gait (FoG) Detection and Machine-Learning-Based FoG Prediction Using Estimated Gait Characteristics with a Wearable Accelerometer Sensors, 2018 DOI:10.3390/s18103287

[41]	MANA Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility, 2018 DOI:10.1145/3234695.3236340

[42]	A sensor fusion approach for inertial sensors based 3D kinematics and pathological gait assessments: toward an adaptive control of stimulation in post-stroke subjects* 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018 DOI:10.1109/EMBC.2018.8512985

[43]	Biomechanical Signal Analysis for Evaluation of Gait in Parkinson's Disease 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), 2018 DOI:10.1109/ETFA.2018.8502581

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[45]	Converging Clinical and Engineering Research on Neurorehabilitation II Biosystems & Biorobotics, 2017 DOI:10.1007/978-3-319-46669-9_157

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[47]	Robust Foot Clearance Estimation Based on the Integration of Foot-Mounted IMU Acceleration Data Sensors, 2015 DOI:10.3390/s16010012

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