Gait phase detection by using a portable system and artificial neural network

[1]  Matteo Gadaleta,et al.  IDNet: Smartphone-based Gait Recognition with Convolutional Neural Networks , 2016, Pattern Recognit..

[2]  J. Verly,et al.  Development and validation of an accelerometer-based method for quantifying gait events. , 2015, Medical engineering & physics.

[3]  Nurhazimah Nazmi,et al.  Walking gait event detection based on electromyography signals using artificial neural network , 2019, Biomed. Signal Process. Control..

[4]  A. Gordon,et al.  Gait Segmentation of Data Collected by Instrumented Shoes Using a Recurrent Neural Network Classifier. , 2019, Physical medicine and rehabilitation clinics of North America.

[5]  S. M. N. Arosha Senanayake,et al.  Computational Intelligent Gait-Phase Detection System to Identify Pathological Gait , 2010, IEEE Transactions on Information Technology in Biomedicine.

[6]  Michael W. Whittle,et al.  Clinical gait analysis: A review , 1996 .

[7]  Hailong Zhu,et al.  Support vector machine for classification of walking conditions of persons after stroke with dropped foot. , 2009, Human movement science.

[8]  Yoichi Shimada,et al.  Clinical application of acceleration sensor to detect the swing phase of stroke gait in functional electrical stimulation. , 2005, The Tohoku journal of experimental medicine.

[9]  Sheldon R Simon,et al.  Quantification of human motion: gait analysis-benefits and limitations to its application to clinical problems. , 2004, Journal of biomechanics.

[10]  Zhelong Wang,et al.  Adaptive gait detection based on foot-mounted inertial sensors and multi-sensor fusion , 2019, Inf. Fusion.

[11]  Gracián Triviño,et al.  Walking pattern classification using a granular linguistic analysis , 2015, Appl. Soft Comput..

[12]  Giancarlo Fortino,et al.  Heading Drift Reduction for Foot-Mounted Inertial Navigation System via Multi-Sensor Fusion and Dual-Gait Analysis , 2019, IEEE Sensors Journal.

[13]  Kuan Zhang,et al.  Gait phase varies over velocities. , 2014, Gait & posture.

[14]  D. Winter.  Energy generation and absorption at the ankle and knee during fast, natural, and slow cadences. , 1983, Clinical orthopaedics and related research.

[15]  Andrea Mannini,et al.  Gait phase detection and discrimination between walking-jogging activities using hidden Markov models applied to foot motion data from a gyroscope. , 2012, Gait & posture.

[16]  W. Potthast,et al.  Motion analysis of patients after knee arthroplasty during activities of daily living--a systematic review. , 2015, Gait & posture.

[17]  Saori Morino,et al.  Gait analysis of pregnant patients with lumbopelvic pain using inertial sensor. , 2018, Gait & posture.

[18]  Kuan Zhang,et al.  Assessment of human locomotion by using an insole measurement system and artificial neural networks. , 2005, Journal of biomechanics.

[19]  Bernd Markert,et al.  A systematic review of gait analysis methods based on inertial sensors and adaptive algorithms. , 2017, Gait & posture.

[20]  D. Sutherland.  The evolution of clinical gait analysis. Part II kinematics. , 2002, Gait & posture.

[21]  Joung Hwan Mun,et al.  Prediction of gait speed from plantar pressure using artificial neural networks , 2014, Expert Syst. Appl..

[22]  M.R. Popovic,et al.  A reliable gait phase detection system , 2001, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[23]  Kara K. Patterson,et al.  Changes in Gait Symmetry and Velocity After Stroke: A Cross-Sectional Study From Weeks to Years After Stroke , 2010, Neurorehabilitation and neural repair.

[24]  Huosheng Hu,et al.  Inertial/magnetic sensors based pedestrian dead reckoning by means of multi-sensor fusion , 2018, Inf. Fusion.

[25]  Jan Rueterbories,et al.  Methods for gait event detection and analysis in ambulatory systems. , 2010, Medical engineering & physics.