Engineering Commons^™

A Pilot Study Comparing Muscle Activation And Kinematic Parameters Between Professional And Non-Professional Tennis Players, Anton S. Petrenko

Masters Theses

Tennis, a widely played sport across various age and skill groups, prompts continual skill improvement among competitive players seeking a competitive edge. This study explores two approaches for enhancing playing style: motion capture (MoCap) and surface electromyographic (sEMG) signals. The study addresses a gap in simultaneous examination of MoCap and entire dominant leg muscle activation, particularly concerning the influence of skill level and gender on various tennis strokes. To fill this void, the research records and analyzes MoCap and dominant leg sEMG data during serves and strokes on both court sides. The hypothesis posits differences in muscle activation and body …

Prosthetic Forearm Controller, Claire Tylutki, Kevin Lopatka, Sofia Zaletel, Hardit Singh

Electrical Engineering

The EMG controlled prosthetic arm project represents a significant advancement in upper limb prosthetics, leveraging cutting-edge technology to address critical user needs. With over two million individuals in the United States living with limb loss, a substantial portion being upper limb amputees, the demand for accessible and functional prosthetic solutions is pressing. This project focuses largely on refining prosthetic limb control through the integration of electromyography (EMG) signal processing and control. Using surface electrodes, this project employs non-invasive means of data collection combined with modern digital signal processing methods to implement faster and more accurate control. The control system also …

The Effect Of Spinal Cord Stimulation And Video Games Training On Body-Machine Interface Control, Jie Fei

McKelvey School of Engineering Theses & Dissertations

Damage to the spinal cord causes long-lasting loss of motor and sensory function, and currently, there is no ‘cure’ for paralysis. However, even people with severe spinal cord injuries (SCI) have some residual mobility. Studies have shown that transcutaneous electrical spinal cord stimulation (tSCS) combined with functional training targeting residual mobility can further improve the motor function of individuals with SCI. In this study, we present a technical framework that aims to enhance rehabilitation outcomes by targeting residual mobility through a motor training-based approach. Our technical framework centers around a non-invasive body-machine interface (BoMI) that relies on the use of …

Analysis Of Wheelchair Sprint Biomechanics On Two Elite Athletes On An Instrumented Drum Ergometer, Francesco Bettella, Biagio Beneduce, Mario Poletti, Nicola Petrone

International Sports Engineering Association – Engineering of Sport

No abstract provided.

Electromyograph Estimation Of Wheelchair Operators Using Deep Learning, Shimpei Aihara, Ryusei Shibata, Ryosuke Mizukami, Takara Sakai, Akira Shionoya

International Sports Engineering Association – Engineering of Sport

No abstract provided.

Machine-Learning-Based Approach To Decoding Physiological And Neural Signals, Elnaz Lashgari

Computational and Data Sciences (PhD) Dissertations

In recent years, machine learning algorithms have been developing rapidly, becoming increasingly powerful tools in decoding physiological and neural signals. The aim of this dissertation is to develop computational tools, and especially machine learning techniques, to identify the most effective methods for feature extraction and classification of these signals. This is particularly challenging due to the highly non-linear, non-stationery, and artifact- and noise-prone nature of these signals.

Among basic human-control tasks, reaching and grasping are ubiquitous in everyday life. I investigated different linear and non-linear dimensionality reduction techniques for feature extraction and classification of electromyography (EMG) during a reach-grasp-lift task. …

A Linear Actuator/Spring Steel-Driven Glove For Assisting Individuals With Activities Of Daily Living, Daniel Chizhik

Electronic Theses and Dissertations

Over three million people in the U.S. suffer from forearm and hand disabilities. This can result from aging, neurological disorders (e.g., stroke), chronic disease (e.g., arthritis), and injuries. Injuries to hands comprise one-third of all work-related injuries worldwide. This can lead to difficulties with activities of daily living (ADL), where one needs to grasp, lift, and release objects in the household. There is a rise in demand for assistive orthoses and gloves that can allow many people to regain their grasping/releasing ability and, thereby, their independence. The main contribution of this thesis is developing an assistive glove with the actuating …

Finding A Viable Neural Network Architecture For Use With Upper Limb Prosthetics, Maxwell Lavin

Master of Science in Computer Science Theses

This paper attempts to answer the question of if it’s possible to produce a simple, quick, and accurate neural network for the use in upper-limb prosthetics. Through the implementation of convolutional and artificial neural networks and feature extraction on electromyographic data different possible architectures are examined with regards to processing time, complexity, and accuracy. It is found that the most accurate architecture is a multi-entry categorical cross entropy convolutional neural network with 100% accuracy. The issue is that it is also the slowest method requiring 9 minutes to run. The next best method found was a single-entry binary cross entropy …

Distribution Of Tremorogenic Activity Among The Majorsuperficial Muscles Of The Upper Limb Insubjects With Essential Tremor, David Jordan Standring

Theses and Dissertations

Optimized peripheral tremor suppression could address many limitations of surgical or medicinal treatments of Essential Tremor, however it is not well understood how the tremorogenic activity is distributed among the muscles of the upper limb, and therefore how to optimize such suppression. We recorded electromyographic (EMG) activity in the 15 major superficial muscles from the shoulder to the wrist while subjects performed postural and kinetic tasks similar to activities of daily living. We calculated the power spectral density and computed the total power in the tremor band (4"12 Hz) for each muscle, from which we determined the distribution of tremorogenic …

Automatic Signal And Image-Based Assessments Of Spinal Cord Injury And Treatments., Samineh Mesbah

Electronic Theses and Dissertations

Spinal cord injury (SCI) is one of the most common sources of motor disabilities in humans that often deeply impact the quality of life in individuals with severe and chronic SCI. In this dissertation, we have developed advanced engineering tools to address three distinct problems that researchers, clinicians and patients are facing in SCI research. Particularly, we have proposed a fully automated stochastic framework to quantify the effects of SCI on muscle size and adipose tissue distribution in skeletal muscles by volumetric segmentation of 3-D MRI scans in individuals with chronic SCI as well as non-disabled individuals. We also developed …

Development Of A Myoelectric Detection Circuit Platform For Computer Interface Applications, Nickolas Andrew Butler

Master's Theses

Personal computers and portable electronics continue to rapidly advance and integrate into our lives as tools that facilitate efficient communication and interaction with the outside world. Now with a multitude of different devices available, personal computers are accessible to a wider audience than ever before. To continue to expand and reach new users, novel user interface technologies have been developed, such as touch input and gyroscopic motion, in which enhanced control fidelity can be achieved. For users with limited-to-no use of their hands, or for those who seek additional means to intuitively use and command a computer, novel sensory systems …

Analysis Of Coherence Between Electromyographic (Emg) Signals To Examine Neural Correlations In Muscular Activation During Standing Balance Tasks: A Pilot Study, Anuj Ojha

Culminating Experience Projects

The motor coordination of the muscles is controlled by the Central Nervous System (CNS), but the precise neural mechanisms for the CNS coordinating the muscles are not completely understood. The purpose of my study was to find the EMG-EMG coherence in different neural frequency bands to examine the neural correlations during muscle activation. EMG signal was recorded from six different healthy young subjects. The EMG signal with sampling frequency fs=1200 Hz was collected for 30 seconds (t=30 sec) from three different muscles on both legs: - tibialis anterior, medial gastrocnemius and soleus. The data were collected for the following four …

Self-Powered Robots To Reduce Motor Slacking During Upper-Extremity Rehabilitation: A Proof Of Concept Study, E. P. Washabaugh, Emma Treadway, R. Brent Gillespie, C. D. Remy, C. Krishnan

Engineering Faculty Research

Background: Robotic rehabilitation is a highly promising approach to recover lost functions after stroke or other neurological disorders. Unfortunately, robotic rehabilitation currently suffers from "motor slacking", a phenomenon in which the human motor system reduces muscle activation levels and movement excursions, ostensibly to minimize metabolic- and movement-related costs. Consequently, the patient remains passive and is not fully engaged during therapy. To overcome this limitation, we envision a new class of body-powered robots and hypothesize that motor slacking could be reduced if individuals must provide the power to move their impaired limbs via their own body (i.e., through the motion of …

Eeg And Emg Sensorimotor Measurements To Assess Proprioception Following Acl Reconstruction, Teagan Frances Northrup

Honors Theses and Capstones

The Anterior Cruciate Ligament (ACL) is the primary source of rotational stability in the knee by preventing the tibia from sliding in front of the femur. When the ACL is torn, it typically must be repaired through reconstructive surgery which results in proprioceptive deficiencies in the knee. Proprioception plays an important role in understanding where one’s knee is in space, sensing movement and reacting accordingly. This study examines an alternative method of measuring proprioceptive responses to a stimulus (motion) by using electromyogram (EMG) and electroencephalogram (EEG) signals to observe muscle and brain activity. Two participants (one with an ACL reconstruction …

Nanocomposite Bioelectronics For Biopotential Enabled Prosthesis, Dong Sup Lee

Theses and Dissertations

Soft material-enabled electronics can demonstrate extreme mechanical flexibility and stretchability. Such compliant, comfortable electronics allow continuous, long-term measurement of biopotentials on the skin. Manufacturing of the stretchable electronic devices is enabled by the recent development combining materials transfer printing and microfabrication. However, the existing method using inorganic materials and multi-layered polymers requires long material preparation time and expensive processing cost due to the requirement of microfabrication tools and complicated transfer printing steps. Here, this study develops a new fabrication method of soft electronics via a micro-replica-molding technique, which allows fast production, multiple use, and low cost by avoiding microfabrication and …

Elbow Patients’ Data Collection And Analysis: An Examination Of Electromyography Healing Patterns, Raneem Haddara

Electronic Thesis and Dissertation Repository

Musculoskeletal conditions are the most common cause of severe long-term pain and physical disability, accounting for the highest disability costs of about $17 billion yearly. To provide better rehabilitation tactics, the knowledge gap between injuries and their healing mechanisms needs to be addressed. The use of electromyography (EMG) is very popular in detecting neuromuscular diseases or nerve lesions; however, there is limited knowledge available for quantifying healing patterns of EMG in orthopedic patients who have injured their joints, muscles, or bones. In order to quantify the progress of orthopedic patients and assess their neuromuscular health and muscle synergy patterns, EMG …

Intuitive Human Robot Interfaces For Upper Limb Prosthetics, Oguz Yetkin

Bioengineering Dissertations

Modern robotic prosthetic devices for upper limb amputees promise to alleviate an important disability, but are underutilized due to the inability to properly control them. Specifically, the devices afford more degrees of freedom (DOFs) than are con- trollable by easily decoded biological signals. These devices, such as the DEKA arm, can have as many as 18 DOFs, although six is a more typical number (control of each finger plus thumb rotation). Unfortunately, the use of these devices remains limited by the ability of users to simultaneously control more than one degree of freedom at a time with commercially deployed technology. …

Functional Comparison Of Conventional Afos With The Dynamic Response Afo, Mitchell Ruble

Master's Theses (2009 -)

Ankle foot orthoses (AFOs) are commonly prescribed to provide stability and foot clearance for patients with weakened or injured musculature. The Dynamic Response AFO (DRAFO) was designed to improve proprioception at heel strike. The design includes a rigid outer shell with a cut out heel and a soft inner lining; it is typically aligned in plantarflexion and may incorporate external heel wedges. The objective of this study was to investigate the effects of the DRAFO design features and contrast its biomechanical function with that of conventional locked and articulating AFOs. The research hypotheses were: 1) DRAFO-assisted gait parameters (e.g. ankle …

Injury Risk Assessment Of The Femur In Children With Osteogenesis Imperfecta, Jessica Marie Fritz

Dissertations (1934 -)

Osteogenesis imperfecta (OI) is a genetic disorder characterized by increased bone fragility and decreased bone mass, which leads to high rates of bone fracture. OI has a prevalence of 1/5,000 to 1/10,000 in the United States. About 90% of persons with OI have a genetic mutation in the coding for collagen type I, which is the major protein of connective tissues, including bone. While its prevalence classifies it as a rare disease, it is the most common disorder of bone etiology. Until recently, little was known about the mechanics and materials of OI bone or their impact on fracture risk. …

Segway: A Simple Framework For Unsupervised Sleep Segmentation In Experimental Eeg Recordings, Farid Yaghouby, Sridhar Sunderam

Biomedical Engineering Faculty Publications

Sleep analysis in animal models typically involves recording an electroencephalogram (EEG) and electromyogram (EMG) and scoring vigilance state in brief epochs of data as Wake, REM (rapid eye movement sleep) or NREM (non-REM) either manually or using a computer algorithm. Computerized methods usually estimate features from each epoch like the spectral power associated with distinctive cortical rhythms and dissect the feature space into regions associated with different states by applying thresholds, or by using supervised/unsupervised statistical classifiers; but there are some factors to consider when using them:

• Most classifiers require scored sample data, elaborate heuristics or computational steps not easily …

Development Of A Wearable Mechatronic Elbow Brace For Postoperative Motion Rehabilitation, Anastasiia Kyrylova

Electronic Thesis and Dissertation Repository

This thesis describes the development of a wearable mechatronic brace for upper limb rehabilitation that can be used at any stage of motion training after surgical reconstruction of brachial plexus nerves. The results of the mechanical design and the work completed towards finding the best torque transmission system are presented herein. As part of this mechatronic system, a customized control system was designed, tested and modified. The control strategy was improved by replacing a PID controller with a cascade controller. Although the experiments have shown that the proposed device can be successfully used for muscle training, further assessment of the …

Review Of Emg-Based Speech Recognition, Amean Al_Safi, Liqaa Alhafadhi

Amean S Al_Safi

This study represents a review of the main studies in EMG-based speech recognition. Its main goal is to support the researchers in the biomedical field with a survey of the solved and unsolved problem in the direction since it has received a great attention during last decade due to its promise applications such as underwater communication and silent speech recognition. Hence this study is a very good starting point for the researchers interested in this area of research

Assessment Of Electrode Configurations Of Electrical Impedance Myography For The Evaluation Of Neuromuscular Diseases, Khondokar Mohammad Fazle Rabbi

Electronic Theses and Dissertations

Electrical impedance myography (EIM) is a painless, noninvasive approach to measure the neuromuscular disease status. EIM parameters- resistance (R), reactance (X) and phase (θ) depend significantly on subcutaneous fat thickness, muscle size and inter electrode distance. The objective of this research is to find an electrode configuration which can minimize the effects on EIM parameters due to subcutaneous fat thickness variation. In this study, a model of human upper arm was developed using finite element method (FEM), which has already been established as an appropriate approach for the analysis of non-symmetrical shape for assessing alternations of muscle in disease-induced changes …

Concept Design Of A Labview-Mysql Data Warehouse For Digital Recording Of Ecg-Emg, Kristine R. Suratos, Rosula Sj Reyes

Electronics, Computer, and Communications Engineering Faculty Publications

To align with the recommendations set forth by the World Health Organization regarding eHealth, this study aims to develop a concept design of a suitable data warehouse for healthcare using electronic medical recording of ECG-EMG. This concept design once implemented aims to assist health care providers in improving patient’s healthcare data management. The system consists of three main layer: data source layer; software application layer; and data service database layer. The data source layer consists of patient profile, patient consultation, and patient test. Patient test was conducted using Olimex ECG-EMG shield and NI myDAQ module. The software application layer, developed …

Development Of A Compact, Low-Cost Wireless Device For Biopotential Acquisition, Graham Kelly

Theses and Dissertations

A low-cost circuit board design is presented, which in one embodiment is smaller than a credit card, for biopotential (EMG, ECG, or EEG) data acquisition, with a focus on EEG for brain-computer interface applications. The device combines signal conditioning, low-noise and high-resolution analog-to-digital conversion of biopotentials, user motion detection via accelerometer and gyroscope, user-programmable digital pre-processing, and data transmission via Bluetooth communications. The full development of the device to date is presented, spanning three embodiments. The device is presented both as a functional data acquisition system and as a template for further development based on its publicly-available schematics and computer-aided …

Evaluation Of Forearm Muscle Fatigue From Operating A Motorcycle Clutch, Megan O. Conrad, Richard W. Marklin

Mechanical Engineering Faculty Research and Publications

A laboratory experiment evaluated the effect of motorcycle clutch design on the electromyography (EMG) activity of the primary agonist finger flexor muscle in the forearm. The goal was to compare muscle fatigue resulting from operation of two different motorcycle clutches in simulated traffic. EMG activity from the flexor digitorum superficialis (FDS) muscle of 12 female and 11 males were recorded while each participant operated an existing motorcycle clutch (requiring 98 N peak force) as well as an alternate design (requiring 36 N peak force) during 60-minute simulations. Muscle fatigue was quantified by measuring the decrease in median frequency of the …

Emg-Emg Coherence Analysis Of Elbow And Shoulder Muscles, Manu Stephen

All Theses and Dissertations (ETDs)

Motor coordination can be described by the activation of a few intermuscular coordination patterns, or muscle synergies. Muscle synergy can be defined as a relatively fixed pattern of activation across a set of muscles. The neural mechanisms underlying muscle synergies remain to be fairly unknown. Through a muscle synergy study [13], co-activation in muscle pairs was discovered through a non-negative matrix factorization: NMF) analysis. In order to evaluate the same muscles under the frequency domain, coherence analysis: a correlational method) was used. Additionally, a comparison can be made to determine if the resulting muscle pairs overlap with the muscle pairs …

The Investigation Of Valve Operators' Torque Production Capabilities And Optimal Handwheel Height, Angle, And Opening Technique, Saif K. Al-Qaisi

LSU Doctoral Dissertations

This research consists of two projects concerned with handwheel-valve operations. The objectives of poject-1 were to: (1) introduce an ergonomically-modified valve-wrench and compare it to conventional valve-opening methods, in terms of efficiency (time to open valve), perceived physical exertion (Borg-scale), and muscle loading of shoulder and trunk muscles; and (2) determine whether the torque setting (15 Nm and 30 Nm) of the valve affects the preferred valve-opening method. Four methods were evaluated, including using bare hands (BH), conventional wrench-restricted (CW-R, assumes presence of obstructions), conventional wrench-unrestricted (CW-U, assumes no obstructions), and modified wrench (MW). Electromyography (EMG) activities were measured from …

Evaluation Of A Novel Myoelectric Training Device, Ryan Clingman

Theses and Dissertations

While research shows that a patient’s success in using a myoelectric prosthetic arm is dependent on receiving effective training, current methods of training are not designed to effectively hold attention long enough for optimal training. This study focused on evaluating a novel myoelectric training device, consisting of a toy car controlled by EMG signals from the arm. Subjects’ performance with the trainer was evaluated to determine its ability to provide experience with EMG controls. Eight healthy adult subjects were taken through typical initial stages of myoelectric training, then asked to drive the car through a slalom course while the time, …

A Novel Exercise Device For Users In Wheelchairs: A Study Of Abdominal Muscle Activation, Rebecca Jo Campbell

Master's Theses

This study evaluates the use of a wheelchair balance board. The balance board was created as a sensory stimulation tool for users with various disabilities. It was originally designed to create vestibular stimulation for the person after they were loaded on. This study was used as a way to test if the balance board could be used for other things such as physical therapy and exercise. Ten able-bodied individuals were used to show the functionality of the device. They were asked to perform six different abdominal exercises while the muscle activity of their rectus abdominis and external obliques was measured …