Explanipedia

The Impact of Draw Weight on Archers’ Posture and Injury Risk Through Motion Capture Analysis Open

Xiaoxu Ji, Zainab Al Tamimi, Xin Gao, Davide Piovesan · 2025

Archery has increasingly captivated attention in its use for rehabilitation and physical education due to its adaptability for various abilities. However, this repetitive sport carries some injury risk in the shoulder, elbow, and back duri…

Harnessing Brewery Spent Grain for Polyhydroxyalkanoate Production Open

Robe Deresse Terfa, Priyanshi N. Patel, Hwidong Kim, Matthew D. Gacura, Gary Vanderlaan , et al. · 2024

The utility of brewery spent grain (BSG), a byproduct of the beer production process, for the synthesis of polyhydroxyalkanoates (PHAs), is a significant advancement towards sustainable and cost-effective biopolymer production. This paper …

An Ergonomics Analysis of Archers through Motion Tracking to Prevent Injuries and Improve Performance Open

Xiaoxu Ji, Jenna Miller, Xin Gao, Zainab Al Tamimi, Irati Arzalluz , et al. · 2024

Archery ranks among the sports with a high incidence of upper extremity injuries, particularly affecting the drawing shoulder and elbow, as well as inducing stress on the lower back. This study seeks to bridge the gap by integrating real-t…

Exploring injury assessment using motion tracking technology and ergonomic tools in archery performance Open

Xiaoxu Ji, Irati Arzalluz, Xin Gao, Zainab Al Tamimi, Ethan Swierski , et al. · 2024

Introduction: Archers face a notable annual risk of injury attributed to the repetitive strain exerted on their upper body muscles and joints. This groundbreaking study marks the first utilization of real-time motion tracking combined with…

The Accuracy of Pitch Rotation and its Effect to the Surge Movement for Flight Simulation Open

Spencer Miller, Xiaoxu Ji, Davide Piovesan · 2024

Flight simulation has gained interest over the past 20 years for pilots training. Due to its safety, it has been efficiently used to prevent accidents before operating the real aircrafts. Every year roughly 40 plane accidents occur in the …

Synthesis of Poly-Lactic Acid by Ring Open Polymerization from Beer Spent Grain for Drug Delivery Open

Snehal Reddy Vakati, Gary Vanderlaan, Matthew D. Gacura, Xiaoxu Ji, Longyan Chen , et al. · 2024

Poly-lactic acid (PLA) is a synthetic polymer that has gained popularity as a scaffold due to well-established manufacturing processes, predictable biomaterial properties, and sustained therapeutic release rates. However, its drawbacks inc…

Depth-Dependent Control in Vision-Sensor Space for Reconfigurable Parallel Manipulators Open

Arturo Franco-López, Mauro Maya, Alejandro González, Antonio Cárdenas, Davide Piovesan · 2023

In this paper, a control approach for reconfigurable parallel robots is designed. Based on it, controls in the vision-sensor, 3D and joint spaces are designed and implemented in target tracking tasks in a novel reconfigurable delta-type pa…

Preparation of Nanopaper for Colorimetric Food Spoilage Indication Open

Zainab Al Tamimi, Longyan Chen, Xiaoxu Ji, Gary Vanderlaan, Matthew D. Gacura , et al. · 2023

In this study, we are reporting the fabrication of a nanocellulose (NFC) paper-based food indicator for chicken breast spoilage detection by both visual color change observation and smartphone image analysis. The indicator consists of a na…

Preparation of Nanocellulose-Based Biomaterials for Biomedical Applications Open

Zainab AlTamimi, Saeed Tiari, Xiaoxu Ji, Davide Piovesan, Allen R. Madura , et al. · 2023

Sustainable and eco-friendly biomaterials based on natural sources have increased dramatically, due to their recyclability, biodegradability, and biocompatibility.Cellulose is one of the most abundant natural biopolymers that can be produc…

Integrating Virtual Reality and Motion Capture in Unity 3D for the Training of Children with Cerebral Palsy Open

Xiaoxu Ji, Kristen Snarski, Arnon Ashkenazi, Ethan Swierski, Davide Piovesan · 2023

This study has successfully created a virtual reality training environment for wheelchair users aimed to serve children with severe cerebral palsy and cognitive impairments.The proposed system integrates motion tracking with virtual realit…

Prevent Workers from Injuries in the Brewing Company via Using Digital Human Modelling Technology Open

Xiaoxu Ji, Ranuki O. Hettiarachchige, Alexa Littman, Nicole L. Lavery, Davide Piovesan · 2023

A large percentage of musculoskeletal disorder cases occur in brewing companies. The aim of this research study is to evaluate the risk of injuries for workers in the local brewing industry by integrating the actual human motion, which was…

Using Digital Human Modelling to Evaluate the Risk of Musculoskeletal Injury for Workers in the Healthcare Industry Open

Xiaoxu Ji, Ranuki O. Hettiarachchige, Alexa Littman, Davide Piovesan · 2023

Background: Hospital nurses and caregivers are reported to have the highest number of workplace injuries every year, which directly leads to missed days of work, a large amount of compensation costs, and staff shortage issues in the health…

Editorial: Highlights in rehabilitation for musculoskeletal conditions 2021/22 Open

Davide Piovesan, Alejandro González · 2023

Ehlers Danlos Syndromes (EDS) and other Generalized Hypermobility Spectrum Disorders (HSD) 45 increase the risk of musculoskeletal injuries and chronic pain due to their hypermobile joints. 46 Exercise and rehabilitation can be an effectiv…

The Effect of Key Anthropometric and Biomechanics Variables Affecting the Lower Back Forces of Healthcare Workers Open

Xiaoxu Ji, Alexa Littman, Ranuki O. Hettiarachchige, Davide Piovesan · 2023

Wearable devices are becoming ubiquitous and can be used to better estimate postures and movements to reduce the risk of injuries. Thirty-three participants were recruited in this study to perform two daily repetitive patient transfer task…

A Novel Velocity-Based Control in a Sensor Space for Parallel Manipulators Open

Antonio Loredo, Mauro Maya, Alejandro González, Antonio Cárdenas, Emilio J. González-Galván , et al. · 2022

It is a challenging task to track objects moving along an unknown trajectory. Conventional model-based controllers require detailed knowledge of a robot’s kinematics and the target’s trajectory. Tracking precision heavily relies on kinemat…

Analysis of Healthcare Push and Pull Task via JACK: Predicted Joint Accuracy during Full-Body Simulation Open

Xiaoxu Ji, Davide Piovesan, M.A. Arenas, He Liu · 2022

The posture accuracy of full-body dynamic simulation has been successfully evaluated in JACK Siemens software via analyzing two common push and pull tasks. The difference in joint angles between the actual and predicted human movement dire…

Assessment of Whole-body Vibration via Integrating a Stewart Platform and SimWise Simulation Open

Davide Piovesan, Xiaoxu Ji · 2022

In this study, multi-body simulations have been performed to identify the safety limits for human whole-body dynamic responses under vibration along the caudal-cranial axis while the subject is seated. Computer simulated data can be used t…

The Effect of Crank Resistance on Arm Configuration and Muscle Activation Variances in Arm Cycling Movements Open

Mariann Mravcsik, Lilla Botzheim, Norbert Zentai, Davide Piovesan, József Laczkó · 2021

Arm cycling on an ergometer is common in sports training and rehabilitation protocols. The hand movement is constrained along a circular path, and the user is working against a resistance, maintaining a cadence. Even if the desired hand tr…

Motor Variances in Arm Cranking as a Function of the Resistance Open

Mariann Mravcsik, Lilla Botzheim, Norbert Zentai, Davide Piovesan, József Laczkó · 2020

Background: Arm cycling on an ergometer is common in sports training and rehabilitation protocols, but has not been widely studied from an aspect of neural control. The hand movement is constrained along a circular path, and the user is wo…

Modeling the neuro-mechanics of human balance when recovering from a fall: a continuous-time approach Open

Angel Cerda-Lugo, Alejandro González, Antonio Cárdenas, Davide Piovesan · 2020

Towards a Simplified Estimation of Muscle Activation Pattern from MRI and EMG Using Electrical Network and Graph Theory Open

Enrico Piovanelli, Davide Piovesan, Shouhei Shirafuji, Becky Su, Natsue Yoshimura , et al. · 2020

Muscle functional MRI (mfMRI) is an imaging technique that assess muscles’ activity, exploiting a shift in the T2-relaxation time between resting and active state on muscles. It is accompanied by the use of electromyography (EMG) to have a…

A Geometrical Approach to Compute Upper Limb Joint Stiffness Open

Davide Piovesan, Roberto Bortoletto · 2020

Exoskeletons are designed to control the forces exerted during the physical coupling between the human and the machine. Since the human is an active system, the control of an exoskeleton requires coordinated action between the machine and …

The Concurrent Control of Motion and Contact Force in the Presence of Predictable Disturbances Open

Davide Piovesan, Maxim Kolesnikov, Kevin Lynch, Ferdinando A. Mussa-Ivaldi · 2019

The simultaneous control of force and motion is important in everyday activities when humans interact with objects. While many studies have analyzed the control of movement within a perturbing force field, few have investigated its dual as…

A framework for closing the loop between human experts and computational algorithms for the assessment of movement disorders Open

Christopher Jarrett, Camila Shirota, Andrew McDaid, Davide Piovesan, Alejandro Melendez-Calderon · 2019

Clinical assessment of abnormal neuromechanics is typically performed by manipulation of the affected limbs; a process with low inter- and intra-rater reliability. This paper aims at formalizing a framework that closes the loop between a c…

Estimation of camera-space manipulation parameters by means of an extended Kalman filter: Applications to parallel robots Open

Alejandro González, Emilio J. González-Galván, Mauro Maya, Antonio Cárdenas, Davide Piovesan · 2019

Parallel robots have a growing range of applications due to their appealing characteristics (high speed and acceleration, increased rigidity, etc.). However, several open problems make it difficult to model and control them. Low computatio…

Design of a Thumb Strength Testing Device Open

Christian Fry, James Mardula, Brandon Lee, Davide Piovesan · 2018

The scope of the project was to design a pneumatic cylinder for measuring the resistive and applied force of the flexor pollicis longus (FPL) after anterior interosseous nerve (AIN) surgery. The patient’s distal section of the first phalan…

Work in Progress: Haptic Robotics in Biomedical Education Open

Anne Schmitz, Karinna Vernaza, Davide Piovesan · 2016

In biomedical engineering curricula, courses on brain function are common. Specifically, these courses cover how brain function affects coordination and how motor, sensory, and cognitive deficits affect the lives of individuals with neurol…

Camera Space Particle Filter for the Robust and Precise Indoor Localization of a Wheelchair Open

Raúl Chavez-Romero, Antonio Cárdenas, Mauro Maya, Alejandra Sanchez-Flores, Davide Piovesan · 2015

This paper presents the theoretical development and experimental implementation of a sensing technique for the robust and precise localization of a robotic wheelchair. Estimates of the vehicle’s position and orientation are obtained, based…

Formative vs. Summative ABET Assessment: A Comprehensive Graphic Representation for a New BME Program Open

Davide Piovesan, Karinna Vernaza · 2015

A new longitudinal analysis for ABET accreditation of a new BME program: formative vs summativeassessmentThis paper presents an innovative methodology for the assessment of a new Biomedical Engineering(BME) program. Biomedical engineering …

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