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View article: The Impact of Human-Robot Collaboration Levels on Postural Stability During Working Tasks Performed While Standing: Experimental Study
The Impact of Human-Robot Collaboration Levels on Postural Stability During Working Tasks Performed While Standing: Experimental Study Open
Background The integration of collaborative robots (cobots) in industrial settings has the potential to enhance worker safety and efficiency by improving postural control and reducing biomechanical risk. Understanding the specific impacts …
View article: Synergy-Dependent Center-of-Mass Control Strategies During Sit-to-Stand Movements
Synergy-Dependent Center-of-Mass Control Strategies During Sit-to-Stand Movements Open
The characterization, through the concept of muscle synergies, of clinical functional tests is a valid tool that has been widely adopted in the research field. While this theory has been exploited for a description of the motor control str…
View article: Automatic Handwriting Recognition with a Minimal EMG Electrodes Setup: A Preliminary Investigation
Automatic Handwriting Recognition with a Minimal EMG Electrodes Setup: A Preliminary Investigation Open
Electromyographic (EMG)-based human-machine interfaces showed great potential in hand gesture recognition and recently they have been developed for realizing automatic recognition of handwritten characters or digits. Although smart sensors…
View article: Using Adaptive Surface EMG Envelope Extraction for Onset Detection: A Preliminary Study on Upper Limb Amputees
Using Adaptive Surface EMG Envelope Extraction for Onset Detection: A Preliminary Study on Upper Limb Amputees Open
Surface electromyography is a valid and widely used tool for the characterization and the intention of human movement in healthy and pathological subjects; in particular, the thorough identification of the transient phase of EMG activity i…
View article: Intelligent Human–Computer Interaction: Combined Wrist and Forearm Myoelectric Signals for Handwriting Recognition
Intelligent Human–Computer Interaction: Combined Wrist and Forearm Myoelectric Signals for Handwriting Recognition Open
Recent studies have highlighted the possibility of using surface electromyographic (EMG) signals to develop human–computer interfaces that are also able to recognize complex motor tasks involving the hand as the handwriting of digits. Howe…
View article: Machine learning to detect, stage and classify diseases and their symptoms based on inertial sensor data: a mapping review
Machine learning to detect, stage and classify diseases and their symptoms based on inertial sensor data: a mapping review Open
This article presents a systematic review aimed at mapping the literature published in the last decade on the use of machine learning (ML) for clinical decision-making through wearable inertial sensors. The review aims to analyze the trend…
View article: Walking ability of individuals fitted with transfemoral bone-anchored prostheses: A comparative study of gait parameters
Walking ability of individuals fitted with transfemoral bone-anchored prostheses: A comparative study of gait parameters Open
Objective This study presents the walking abilities of participants fitted with transfemoral bone-anchored prostheses using a total of 14 gait parameters. Design Two-centre retrospective cross-sectional comparative study. Setting Research …
View article: Modalities of sequential human robot collaboration trigger different modifications of trunk oscillations
Modalities of sequential human robot collaboration trigger different modifications of trunk oscillations Open
Introduction Human robot collaboration is quickly gaining importance in the robotics and ergonomics fields due to its ability to reduce biomechanical risk on the human operator while increasing task efficiency. The performance of the colla…
View article: Optimal Identification of Muscle Synergies From Typical Sit-to-Stand Clinical Tests
Optimal Identification of Muscle Synergies From Typical Sit-to-Stand Clinical Tests Open
Goal: The goal of this manuscript is to investigate the optimal methods for extracting muscle synergies from a sit-to-stand test; in particular, the performance in identifying the modular structures from signals of different length is char…
View article: The Influence of the sEMG Amplitude Estimation Technique on the EMG–Force Relationship
The Influence of the sEMG Amplitude Estimation Technique on the EMG–Force Relationship Open
The estimation of the sEMG–force relationship is an open problem in the scientific literature; current methods show different limitations and can achieve good performance only on limited scenarios, failing to identify a general solution to…
View article: Characterizing the Gait of People With Different Types of Amputation and Prosthetic Components Through Multimodal Measurements: A Methodological Perspective
Characterizing the Gait of People With Different Types of Amputation and Prosthetic Components Through Multimodal Measurements: A Methodological Perspective Open
Prosthetic gait implies the use of compensatory motor strategies, including alterations in gait biomechanics and adaptations in the neural control mechanisms adopted by the central nervous system. Despite the constant technological advance…
View article: Smartphone-Based Answering to School Subject Questions Alters Gait in Young Digital Natives
Smartphone-Based Answering to School Subject Questions Alters Gait in Young Digital Natives Open
Smartphone texting while walking is a very common activity among people of different ages, with the so-called "digital natives" being the category most used to interacting with an electronic device during daily activities, mostly for texti…
View article: Modular motor control of the sound limb in gait of people with trans-femoral amputation
Modular motor control of the sound limb in gait of people with trans-femoral amputation Open
Background The above-knee amputation of a lower limb is a severe impairment that affects significantly the ability to walk; considering this, a complex adaptation strategy at the neuromuscular level is needed in order to be able to move sa…
View article: Comparison of Initialization Techniques for the Accurate Extraction of Muscle Synergies from Myoelectric Signals via Nonnegative Matrix Factorization
Comparison of Initialization Techniques for the Accurate Extraction of Muscle Synergies from Myoelectric Signals via Nonnegative Matrix Factorization Open
The main goal of this work was to assess the performance of different initializations of matrix factorization algorithms for an accurate identification of muscle synergies. Currently, nonnegative matrix factorization (NNMF) is the most com…