The Role of Surface Electromyography in Data Fusion with Inertial Sensors to Enhance Locomotion Recognition and Prediction

A novel fusion strategy for locomotion activity recognition based on multimodal signals

(2021) Fo Hu et al.   Biomedical Signal Processing and Control

A Smart Terrain Identification Technique Based on Electromyography, Ground Reaction Force, and Machine Learning for Lower Limb Rehabilitation

(2020) Shuo Gao et al.   Applied Sciences-Basel

EMG-Centered Multisensory Based Technologies for Pattern Recognition in Rehabilitation: State of the Art and Challenges

(2020) Chaoming Fang et al.   Biosensors-Basel

Accurate recognition of lower limb ambulation mode based on surface electromyography and motion data using machine learning

(2020) Bin Zhou et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Locomotion Prediction for Lower Limb Prostheses in Complex Environments via sEMG and Inertial Sensors

(2020) Fang Peng et al.   COMPLEXITY

A CNN-Based Method for Intent Recognition Using Inertial Measurement Units and Intelligent Lower Limb Prosthesis

(2019) Ben-Yue Su et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

An adaptive and on-line IMU-based locomotion activity classification method using a triplet Markov model

(2019) Haoyu Li et al.   NEUROCOMPUTING

Evolving Gaussian Process Autoregression Based Learning of Human Motion Intent Using Improved Energy Kernel Method of EMG

(2019) Yan Zeng et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Online adaptive neural control of a robotic lower limb prosthesis

(2018) J A Spanias et al.   Journal of Neural Engineering

Adaptive Bayesian inference system for recognition of walking activities and prediction of gait events using wearable sensors

(2018) Uriel Martinez-Hernandez et al.   NEURAL NETWORKS

Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors

(2017) Xugang Xi et al.   SENSORS

An Adaptive Classification Strategy for Reliable Locomotion Mode Recognition

(2017) et al.   SENSORS

Research on Lower Limb Motion Recognition Based on Fusion of sEMG and Accelerometer Signals

(2017) Qingsong Ai et al.   Symmetry-Basel

Feature extraction from smartphone inertial signals for human activity segmentation

(2016) Rubén San-Segundo et al.   SIGNAL PROCESSING

Myoelectric Control of Artificial Limbs—Is There a Need to Change Focus? [In the Spotlight]

(2012) Ning Jiang et al.   IEEE SIGNAL PROCESSING MAGAZINE

Toward Design of an Environment-Aware Adaptive Locomotion-Mode-Recognition System

(2012) Lin Du et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Source Selection for Real-Time User Intent Recognition Toward Volitional Control of Artificial Legs

(2012) Fan Zhang et al.   IEEE Journal of Biomedical and Health Informatics

Self-efficacy and self-management after stroke: a systematic review

(2010) Fiona Jones et al.   DISABILITY AND REHABILITATION

A Strategy for Identifying Locomotion Modes Using Surface Electromyography

(2008) He Huang et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Two simple methods for determining gait events during treadmill and overground walking using kinematic data

(2007) J.A. Zeni et al.   GAIT & POSTURE