S. Farokh Atashzar
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View article: Optical Fiber‐Based Versatile Wearable Force Myography System: Application to Human–Robot Interaction
Optical Fiber‐Based Versatile Wearable Force Myography System: Application to Human–Robot Interaction Open
This article presents a novel, versatile wearable force myography (FMG) system based on optical fiber technology, designed for high sensitivity and mechanical robustness. Unlike conventional FMG systems, which are susceptible to environmen…
View article: BandFocusNet: A Lightweight Model for Motor Imagery Classification of a Supernumerary Thumb in Virtual Reality
BandFocusNet: A Lightweight Model for Motor Imagery Classification of a Supernumerary Thumb in Virtual Reality Open
Objective: Human movement augmentation through supernumerary effectors is an emerging field of research. However, controlling these effectors remains challenging due to issues with agency, control, and synchronizing movements with n…
View article: EEG-Based Analysis of Brain Responses in Multi-Modal Human-Robot Interaction: Modulating Engagement
EEG-Based Analysis of Brain Responses in Multi-Modal Human-Robot Interaction: Modulating Engagement Open
User engagement, cognitive participation, and motivation during task execution in physical human-robot interaction are crucial for motor learning. These factors are especially important in contexts like robotic rehabilitation, where neurop…
View article: Author Correction: Neural signatures of motor imagery for a supernumerary thumb in VR: an EEG analysis
Author Correction: Neural signatures of motor imagery for a supernumerary thumb in VR: an EEG analysis Open
View article: PREPARE: PREdicting PAndemic's REcurring Waves Amidst Mutations, Vaccination, and Lockdowns
PREPARE: PREdicting PAndemic's REcurring Waves Amidst Mutations, Vaccination, and Lockdowns Open
This study releases an adaptable framework that can provide insights to policymakers to predict the complex recurring waves of the pandemic in the medium postemergence of the virus spread, a phase marked by rapidly changing factors like vi…
View article: Neural signatures of motor imagery for a supernumerary thumb in VR: an EEG analysis
Neural signatures of motor imagery for a supernumerary thumb in VR: an EEG analysis Open
Human movement augmentation is a rising field of research. A promising control strategy for augmented effectors involves utilizing electroencephalography through motor imagery (MI) functions. However, performing MI of a supernumerary effec…
View article: Muscle activity and hypoalgesia in blood flow restricted versus unrestricted effort‐matched resistance exercise in healthy adults
Muscle activity and hypoalgesia in blood flow restricted versus unrestricted effort‐matched resistance exercise in healthy adults Open
This study assessed muscle activity (root mean square, RMS, and median frequency, MDF) to evaluate the acute response to blood flow restriction (BFR) resistance exercise (RE) and conventional moderate intensity (MI) RE. We also performed e…
View article: 3D muscle networks based on vibrational mechanomyography
3D muscle networks based on vibrational mechanomyography Open
Objective . Muscle network modeling maps synergistic control during complex motor tasks. Intermuscular coherence (IMC) is key to isolate synchronization underlying coupling in such neuromuscular control. Model inputs, however, rely on elec…
View article: A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer Learning
A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer Learning Open
Hand gesture recognition (HGR) has gained significant attention due to the increasing use of AI-powered human-computer interfaces that can interpret the deep spatiotemporal dynamics of biosignals from the peripheral nervous system, such as…
View article: ViT-MDHGR: Cross-day Reliability and Agility in Dynamic Hand Gesture Prediction via HD-sEMG Signal Decoding
ViT-MDHGR: Cross-day Reliability and Agility in Dynamic Hand Gesture Prediction via HD-sEMG Signal Decoding Open
Surface electromyography (sEMG) and high-density sEMG (HD-sEMG) biosignals have been extensively investigated for myoelectric control of prosthetic devices, neurorobotics, and more recently human-computer interfaces because of their capabi…
View article: From Unstable Contacts to Stable Control: A Deep Learning Paradigm for HD-sEMG in Neurorobotics
From Unstable Contacts to Stable Control: A Deep Learning Paradigm for HD-sEMG in Neurorobotics Open
In the past decade, there has been significant advancement in designing wearable neural interfaces for controlling neurorobotic systems, particularly bionic limbs. These interfaces function by decoding signals captured non-invasively from …
View article: A Smart Handheld Edge Device for On-Site Diagnosis and Classification of Texture and Stiffness of Excised Colorectal Cancer Polyps
A Smart Handheld Edge Device for On-Site Diagnosis and Classification of Texture and Stiffness of Excised Colorectal Cancer Polyps Open
This paper proposes a smart handheld textural sensing medical device with complementary Machine Learning (ML) algorithms to enable on-site Colorectal Cancer (CRC) polyp diagnosis and pathology of excised tumors. The proposed unique handhel…
View article: Task-oriented design of a multi-degree of freedom upper limb prosthesis with integrated myocontrol and sensory feedback
Task-oriented design of a multi-degree of freedom upper limb prosthesis with integrated myocontrol and sensory feedback Open
Despite the progresses in upper limb prosthetic technologies of the past decades, there is still a large gap between the user needs and the available devices. Here, we describe the design and validation of a fully integrated, multi-degree …
View article: Task-oriented design of a multi-degree of freedom upper limb prosthesis with integrated myocontrol and sensory feedback
Task-oriented design of a multi-degree of freedom upper limb prosthesis with integrated myocontrol and sensory feedback Open
Despite the progresses in upper limb prosthetic technologies of the past decades, there is still a large gap between the user needs and the available devices. Here, we describe the design and validation of a fully integrated, multi-degree …
View article: How Does the Inner Geometry of Soft Actuators Modulate the Dynamic and Hysteretic Response?
How Does the Inner Geometry of Soft Actuators Modulate the Dynamic and Hysteretic Response? Open
This paper investigates the influence of the internal geometrical structure of soft pneu-nets on the dynamic response and hysteresis of the actuators. The research findings indicate that by strategically manipulating the stress distributio…
View article: From pulse width modulated TENS to cortical modulation: based on EEG functional connectivity analysis
From pulse width modulated TENS to cortical modulation: based on EEG functional connectivity analysis Open
Modulation in the temporal pattern of transcutaneous electrical nerve stimulation (TENS), such as Pulse width modulated (PWM), has been considered a new dimension in pain and neurorehabilitation therapy. Recently, the potentials of PWM TEN…
View article: Deep learning for deterioration prediction of COVID-19 patients based on time-series of three vital signs
Deep learning for deterioration prediction of COVID-19 patients based on time-series of three vital signs Open
View article: FiMReSt: Finite Mixture of Multivariate Regulated Skew-t Kernels -- A Flexible Probabilistic Model for Multi-Clustered Data with Asymmetrically-Scattered Non-Gaussian Kernels
FiMReSt: Finite Mixture of Multivariate Regulated Skew-t Kernels -- A Flexible Probabilistic Model for Multi-Clustered Data with Asymmetrically-Scattered Non-Gaussian Kernels Open
Recently skew-t mixture models have been introduced as a flexible probabilistic modeling technique taking into account both skewness in data clusters and the statistical degree of freedom (S-DoF) to improve modeling generalizability, and r…
View article: Lower-limb Nonparametric Functional Muscle Network: Test-retest Reliability Analysis
Lower-limb Nonparametric Functional Muscle Network: Test-retest Reliability Analysis Open
Objective Functional muscle network analysis has attracted a great deal of interest in recent years, promising high sensitivity to changes of intermuscular synchronicity, studied mostly for healthy subjects and recently for patients living…
View article: Linear versus Nonlinear Muscle Networks: A Case Study to Decode Hidden Synergistic Patterns During Dynamic Lower-limb Tasks
Linear versus Nonlinear Muscle Networks: A Case Study to Decode Hidden Synergistic Patterns During Dynamic Lower-limb Tasks Open
This paper, for the first time, compares the behaviors of nonlinear versus linear muscle networks in decoding hidden peripheral synergistic neural patterns during dynamic functional tasks. In this paper, we report a case study during which…
View article: Perilaryngeal Functional Muscle Network in Patients with Vocal Hyperfunction - A Case Study
Perilaryngeal Functional Muscle Network in Patients with Vocal Hyperfunction - A Case Study Open
Patients with both phonotraumatic and non-phonotraumatic dysphonia commonly present with vocal hyperfunction, defined as excessive perilaryngeal muscle activity and characterized by muscular pain and strain in the neck, increased vocal eff…
View article: Lower-Limb Non-Parametric Functional Muscle Network: Test-Retest Reliability Analysis
Lower-Limb Non-Parametric Functional Muscle Network: Test-Retest Reliability Analysis Open
Functional muscle network analysis has attracted a great deal of interest in recent years, promising high sensitivity to changes of intermuscular synchronicity, studied mostly for healthy subjects and recently for patients living with neur…
View article: What Happens When Pneu-Net Soft Robotic Actuators Get Fatigued?
What Happens When Pneu-Net Soft Robotic Actuators Get Fatigued? Open
Soft actuators have attracted a great deal of interest in the context of rehabilitative and assistive robots for increasing safety and lowering costs as compared to rigid-body robotic systems. During actuation, soft actuators experience hi…
View article: Force-Aware Interface via Electromyography for Natural VR/AR Interaction
Force-Aware Interface via Electromyography for Natural VR/AR Interaction Open
While tremendous advances in visual and auditory realism have been made for virtual and augmented reality (VR/AR), introducing a plausible sense of physicality into the virtual world remains challenging. Closing the gap between real-world …
View article: Pit-Pattern Classification of Colorectal Cancer Polyps Using a Hyper Sensitive Vision-Based Tactile Sensor and Dilated Residual Networks
Pit-Pattern Classification of Colorectal Cancer Polyps Using a Hyper Sensitive Vision-Based Tactile Sensor and Dilated Residual Networks Open
In this study, with the goal of reducing the early detection miss rate of colorectal cancer (CRC) polyps, we propose utilizing a novel hyper-sensitive vision-based tactile sensor called HySenSe and a complementary and novel machine learnin…
View article: Low-frequency motor cortex EEG predicts four levels of rate of change of force during ankle dorsiflexion
Low-frequency motor cortex EEG predicts four levels of rate of change of force during ankle dorsiflexion Open
The movement-related cortical potential (MRCP) is a low-frequency component of the electroencephalography (EEG) signal recorded from the motor cortex and its neighboring cortical areas. Since the MRCP encodes motor intention and execution,…
View article: Complex Temporal behavior Modeling for Pandemic Spread: Not a Simple Delayed Response!
Complex Temporal behavior Modeling for Pandemic Spread: Not a Simple Delayed Response! Open
One of the significant challenges, when a new virus circulates in a host population, is to detect the outbreak as it arises in a timely fashion and implement the appropriate preventive policies to effectively halt the spread of the disease…
View article: Nonlinear functional muscle network based on information theory tracks sensorimotor integration post stroke
Nonlinear functional muscle network based on information theory tracks sensorimotor integration post stroke Open
Sensory information is critical for motor coordination. However, understanding sensorimotor integration is complicated, especially in individuals with impairment due to injury to the central nervous system. This research presents a novel f…
View article: Editorial: NeuroHaptics: From Human Touch to Neuroscience
Editorial: NeuroHaptics: From Human Touch to Neuroscience Open
EDITORIAL article Front. Neurosci., 25 July 2022Sec. Perception Science https://doi.org/10.3389/fnins.2022.964014
View article: Editorial: Robotics, Autonomous Systems and AI for Nonurgent/Nonemergent Healthcare Delivery During and After the COVID-19 Pandemic
Editorial: Robotics, Autonomous Systems and AI for Nonurgent/Nonemergent Healthcare Delivery During and After the COVID-19 Pandemic Open
EDITORIAL article Front. Robot. AI, 08 June 2022Sec. Biomedical Robotics https://doi.org/10.3389/frobt.2022.886926