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View article: Long duration multi-channel surface electromyographic signals during walking at natural pace: Data acquisition and analysis
Long duration multi-channel surface electromyographic signals during walking at natural pace: Data acquisition and analysis Open
Variability of myoelectric activity during walking is the result of human capability to adapt to both intrinsic and extrinsic perturbations. The availability of sEMG signals lasting at least some minutes (instead of seconds) is needed to c…
View article: Novel Physics-Informed Bayesian Fusion Post-Processor for Enhanced Gait Phase Recognition Using Surface Electromyography
Novel Physics-Informed Bayesian Fusion Post-Processor for Enhanced Gait Phase Recognition Using Surface Electromyography Open
Myoelectric pattern recognition systems serve as a promising predictive control approach for the lower limbs prostheses and exoskeletons. However, their actual deployment is challenged by the signal stochastic nature that could contaminate…
View article: Inertial Sensing for Human Motion Analysis: Enabling Sensor-to-Body Calibration Through an Anatomical and Functional Combined Approach
Inertial Sensing for Human Motion Analysis: Enabling Sensor-to-Body Calibration Through an Anatomical and Functional Combined Approach Open
The use of inertial measurement units is gaining attention to estimate human joint kinematics. However, to obtain clinically meaningful results, sensor frame needs to be aligned with the underlying anatomical one. Although during the years…
View article: Myoelectric-Based Estimation of Vertical Ground Reaction Force During Unconstrained Walking by a Stacked One-Dimensional Convolutional Long Short-Term Memory Model
Myoelectric-Based Estimation of Vertical Ground Reaction Force During Unconstrained Walking by a Stacked One-Dimensional Convolutional Long Short-Term Memory Model Open
The volitional control of powered assistive devices is commonly performed by mapping the electromyographic (EMG) activity of the lower limb to joints’ angular kinematics, which are then used as the input for regulation. However, during wal…
View article: A Review on Assisted Living Using Wearable Devices
A Review on Assisted Living Using Wearable Devices Open
Forecasts about the aging trend of the world population agree on identifying increased life expectancy as a serious risk factor for the financial sustainability of social healthcare systems if not properly supported by innovative care mana…
View article: Phasor-Based Myoelectric Synergy Features: A Fast Hand-Crafted Feature Extraction Scheme for Boosting Performance in Gait Phase Recognition
Phasor-Based Myoelectric Synergy Features: A Fast Hand-Crafted Feature Extraction Scheme for Boosting Performance in Gait Phase Recognition Open
Gait phase recognition systems based on surface electromyographic signals (EMGs) are crucial for developing advanced myoelectric control schemes that enhance the interaction between humans and lower limb assistive devices. However, machine…
View article: Leveraging Inertial Information from a Single IMU for Human Daily Activity Recognition
Leveraging Inertial Information from a Single IMU for Human Daily Activity Recognition Open
Being able to recognize human activities is important for home monitoring, with the possibility for clinicians to early recognize possible cognitive or physical impairments, but also for rehabilitation and prosthetics control. Nowadays, wi…
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: Mapping Lower Limb EMG Activity to Ground Reaction Force in Free Walking Condition
Mapping Lower Limb EMG Activity to Ground Reaction Force in Free Walking Condition Open
Continuous control of lower limb prosthetic and assistive devices is usually performed by mapping electromyography (EMG) activity to joints angular kinematics. However, the inclusion of ground reaction force information within the regulati…
View article: Unveiling Muscular Engagement: Evidence of Activity in Mental Imagery and Action Observation
Unveiling Muscular Engagement: Evidence of Activity in Mental Imagery and Action Observation Open
The cognitive processes associated with the move-ment representation in the absence of physical execution, specif-ically motor imagery (MI), or with the action observation (AO), have been extensively investigated to understand how these ac…
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: Neuromechanical-Driven Ankle Angular Position Control During Gait Using Minimal Setup and LSTM Model
Neuromechanical-Driven Ankle Angular Position Control During Gait Using Minimal Setup and LSTM Model Open
Data-driven decoding of lower limb muscles surface electromyography (sEMG) and joints kinematics is a crucial approach for enhancing prosthetic control and assistive reha-bilitation. In this study, three different neuromechanical-driven an…
View article: Enhanced Gait Phases Recognition by EMG and Kinematics Information Fusion and a Minimal Recording Setuping Setup
Enhanced Gait Phases Recognition by EMG and Kinematics Information Fusion and a Minimal Recording Setuping Setup Open
The limited mobility of lower limb amputees highlights the need for advancements in prosthetic control strategies to restore natural locomotion. This paper proposes an information fusion approach for gait phase recognition using surface el…
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: A Computer-Aided Screening Solution for the Identification of Diabetic Neuropathy From Standing Balance by Leveraging Multi-Domain Features
A Computer-Aided Screening Solution for the Identification of Diabetic Neuropathy From Standing Balance by Leveraging Multi-Domain Features Open
The early diagnosis of diabetic neuropathy (DN) is fundamental in order to enact timely therapeutic strategies for limiting disease progression. In this work, we explored the suitability of standing balance task for identifying the presenc…
View article: A Minimal and Multi-Source Recording Setup for Ankle Joint Kinematics Estimation During Walking Using Only Proximal Information From Lower Limb
A Minimal and Multi-Source Recording Setup for Ankle Joint Kinematics Estimation During Walking Using Only Proximal Information From Lower Limb Open
In this study, a minimal setup for the ankle joint kinematics estimation is proposed relying only on proximal information of the lower-limb, i.e. thigh muscles activity and joint kinematics. To this purpose, myoelectric activity of Rectus …
View article: On the Decoding of Shoulder Joint Intent of Motion From Transient EMG: Feature Evaluation and Classification
On the Decoding of Shoulder Joint Intent of Motion From Transient EMG: Feature Evaluation and Classification Open
Motion intent detection for shoulder actions may allow the early decoding of upper limb motions, thus enhancing the real-time usability of rehabilitative devices and prosthetics. In this study we faced a motion intent detection problem inv…
View article: Multiscale Fuzzy Entropy Analysis of Balance: Evidences of Scale-Dependent Dynamics on Diabetic Patients With and Without Neuropathy
Multiscale Fuzzy Entropy Analysis of Balance: Evidences of Scale-Dependent Dynamics on Diabetic Patients With and Without Neuropathy Open
Postural control is usually assessed by examining the fluctuations of the center of pressure (COP). Balance maintenance is based on sensory feedback and neural interactions, deployed over multiple temporal scales and producing less complex…
View article: Handwritten Digits Recognition From sEMG: Electrodes Location and Feature Selection
Handwritten Digits Recognition From sEMG: Electrodes Location and Feature Selection Open
Objective: Despite hand gesture recognition is a widely investigated field, the design of myoelectric architectures for detecting finer motor task, like the handwriting, is less studied. However, writing tasks involving cognitive loads rep…
View article: Editorial: Neuromuscular control modelling of static and dynamic balance maintenance
Editorial: Neuromuscular control modelling of static and dynamic balance maintenance Open
EDITORIAL article Front. Neurol., 22 November 2022Sec. Neuro-Otology https://doi.org/10.3389/fneur.2022.1079410
View article: Robot Perception through Wearable Sensors: Decoding Grasping for Human-Robot Hand-Over
Robot Perception through Wearable Sensors: Decoding Grasping for Human-Robot Hand-Over Open
Human-robot interaction represents the cornerstone for the full development of Industry 4.0 and 5.0 paradigms, that rely on this cooperation in order to develop more efficient and flexible production lines. In this context, the human-robot…
View article: Identification of Neurodegenerative Diseases From Gait Rhythm Through Time Domain and Time-Dependent Spectral Descriptors
Identification of Neurodegenerative Diseases From Gait Rhythm Through Time Domain and Time-Dependent Spectral Descriptors Open
The analysis of gait rhythm by pattern recognition can support the state-of-the-art clinical methods for the identification of neurodegenerative diseases (NDD). In this study, we investigated the use of time domain (TD) and time-dependent …
View article: Muscle Co-Contraction Detection in the Time–Frequency Domain
Muscle Co-Contraction Detection in the Time–Frequency Domain Open
Background: Muscle co-contraction plays a significant role in motion control. Available detection methods typically only provide information in the time domain. The current investigation proposed a novel approach for muscle co-contraction …
View article: Machine Learning for Detection of Muscular Activity from Surface EMG Signals
Machine Learning for Detection of Muscular Activity from Surface EMG Signals Open
Background: Muscular-activity timing is useful information that is extractable from surface EMG signals (sEMG). However, a reference method is not available yet. The aim of this study is to investigate the reliability of a novel machine-le…
View article: Neuromuscular Control Modelling of Human Perturbed Posture Through Piecewise Affine Autoregressive With Exogenous Input Models
Neuromuscular Control Modelling of Human Perturbed Posture Through Piecewise Affine Autoregressive With Exogenous Input Models Open
In this study, the neuromuscular control modeling of the perturbed human upright stance is assessed through piecewise affine autoregressive with exogenous input (PWARX) models. Ten healthy subjects underwent an experimental protocol where …