Sport-Specific Recovery Trajectories for NCAA Collegiate Athletes Following Concussion
Ann Biomed Eng. 2023 Nov 14. doi: 10.1007/s10439-023-03406-8. Online ahead of print.ABSTRACTThe recovery trajectories of collegiate athletes with sport-related concussion (SRC) are well characterized in contact/collision sports but are less well understood in limited contact sports with lower risk, reducing the ability of clinicians to effectively manage the return-to-play (RTP) process. The current study investigated the time to asymptomatic and RTP across a broad range of male and female collegiate sports and sought to group sports by recovery intervals. Data from the Concussion Assessment, Research and Education (CARE) ...
Source: Annals of Biomedical Engineering - November 14, 2023 Category: Biomedical Engineering Authors: Spencer W Liebel Kathryn L Van Pelt Paul F Pasquina Thomas W McAllister Michael A McCrea Steven P Broglio CARE Consortium Investigators Source Type: research
Electromechanical Response of Mesenteric Ischemia Defined Through Simultaneous High-Resolution Bioelectrical and Video Mapping
Ann Biomed Eng. 2023 Nov 14. doi: 10.1007/s10439-023-03404-w. Online ahead of print.ABSTRACTIntestinal motility is governed in part by bioelectrical slow-waves and spike-bursts. Mesenteric ischemia is a substantial clinical challenge, but its electrophysiological and contractile mechanisms are not well understood. Simultaneous high-resolution bioelectrical and video mapping techniques were used to capture the changes in slow-waves, spike-bursts, and contractile activity during baseline, ischemia, and reperfusion periods. Experiments were performed on anesthetized pigs where intestinal contractions were quantified using sur...
Source: Annals of Biomedical Engineering - November 14, 2023 Category: Biomedical Engineering Authors: Sachira Kuruppu Leo K Cheng Timothy R Angeli-Gordon Recep Avci Niranchan Paskaranandavadivel Source Type: research
Reduced Order Modeling for Real-Time Stent Deformation Simulations of Transcatheter Aortic Valve Prostheses
Ann Biomed Eng. 2023 Nov 14. doi: 10.1007/s10439-023-03360-5. Online ahead of print.ABSTRACTComputational modeling can be a critical tool to predict deployment behavior for transcatheter aortic valve replacement (TAVR) in patients with aortic stenosis. However, due to the mechanical complexity of the aortic valve and the multiphysics nature of the problem, described by partial differential equations (PDEs), traditional finite element (FE) modeling of TAVR deployment is computationally expensive. In this preliminary study, a PDEs-based reduced order modeling (ROM) framework is introduced for rapidly simulating structural de...
Source: Annals of Biomedical Engineering - November 14, 2023 Category: Biomedical Engineering Authors: Imran Shah Milad Samaee Atefeh Razavi Fateme Esmailie Francesco Ballarin Lakshmi P Dasi Alessandro Veneziani Source Type: research
Sport-Specific Recovery Trajectories for NCAA Collegiate Athletes Following Concussion
Ann Biomed Eng. 2023 Nov 14. doi: 10.1007/s10439-023-03406-8. Online ahead of print.ABSTRACTThe recovery trajectories of collegiate athletes with sport-related concussion (SRC) are well characterized in contact/collision sports but are less well understood in limited contact sports with lower risk, reducing the ability of clinicians to effectively manage the return-to-play (RTP) process. The current study investigated the time to asymptomatic and RTP across a broad range of male and female collegiate sports and sought to group sports by recovery intervals. Data from the Concussion Assessment, Research and Education (CARE) ...
Source: Annals of Biomedical Engineering - November 14, 2023 Category: Biomedical Engineering Authors: Spencer W Liebel Kathryn L Van Pelt Paul F Pasquina Thomas W McAllister Michael A McCrea Steven P Broglio CARE Consortium Investigators Source Type: research
Biomechanical Evaluation of Aortic Valve Stenosis by Means of a Virtual Stress Test: A Fluid-Structure Interaction Study
Ann Biomed Eng. 2023 Nov 13. doi: 10.1007/s10439-023-03389-6. Online ahead of print.ABSTRACTThe impact of aortic valve stenosis (AS) extends beyond the vicinity of the narrowed leaflets into the left ventricle (LV) and into the systemic vasculature because of highly unpredictable valve behavior and complex blood flow in the ascending aorta that can be attributed to the strong interaction between the narrowed cusps and the ejected blood. These effects can become exacerbated during exercise and may have implications for disease progression, accurate diagnosis, and timing of intervention. In this 3-D patient-specific study, w...
Source: Annals of Biomedical Engineering - November 13, 2023 Category: Biomedical Engineering Authors: Vijay Govindarajan Arun Kolanjiyil Charles Wanna Hyunggun Kim Siddharth Prakash Krishnan B Chandran David D McPherson Nils P Johnson Source Type: research
Biomechanical Evaluation of Aortic Valve Stenosis by Means of a Virtual Stress Test: A Fluid-Structure Interaction Study
Ann Biomed Eng. 2023 Nov 13. doi: 10.1007/s10439-023-03389-6. Online ahead of print.ABSTRACTThe impact of aortic valve stenosis (AS) extends beyond the vicinity of the narrowed leaflets into the left ventricle (LV) and into the systemic vasculature because of highly unpredictable valve behavior and complex blood flow in the ascending aorta that can be attributed to the strong interaction between the narrowed cusps and the ejected blood. These effects can become exacerbated during exercise and may have implications for disease progression, accurate diagnosis, and timing of intervention. In this 3-D patient-specific study, w...
Source: Annals of Biomedical Engineering - November 13, 2023 Category: Biomedical Engineering Authors: Vijay Govindarajan Arun Kolanjiyil Charles Wanna Hyunggun Kim Siddharth Prakash Krishnan B Chandran David D McPherson Nils P Johnson Source Type: research
Explainable AI Elucidates Musculoskeletal Biomechanics: A Case Study Using Wrist Surgeries
Ann Biomed Eng. 2023 Nov 9. doi: 10.1007/s10439-023-03394-9. Online ahead of print.ABSTRACTAs datasets increase in size and complexity, biomechanists have turned to artificial intelligence (AI) to aid their analyses. This paper explores how explainable AI (XAI) can enhance the interpretability of biomechanics data derived from musculoskeletal simulations. We use machine learning to classify the simulated lateral pinch data as belonging to models with healthy or one of two types of surgically altered wrists. This simulation-based classification task is analogous to using biomechanical movement and force data to clinically d...
Source: Annals of Biomedical Engineering - November 9, 2023 Category: Biomedical Engineering Authors: Isaly Tappan Erica M Lindbeck Jennifer A Nichols Joel B Harley Source Type: research
The Amputated Limb Gluteus Medius is Biomechanically Disadvantaged in Patients with Unilateral Transfemoral Amputation
Ann Biomed Eng. 2023 Nov 9. doi: 10.1007/s10439-023-03400-0. Online ahead of print.ABSTRACTPatients with transfemoral amputation (TFA) are at an increased risk of secondary musculoskeleteal comorbidities, primarily due to asymmetric joint loading. Amputated limb muscle weakness is also prevalent in the TFA population, yet all factors that contribute to muscle strength and thus joint loading are not well understood. Our objective was to bilaterally compare gluteus medius (GMED) muscle factors (volume, fatty infiltration, moment arm) that all contribute to joint loading in patients with TFA. Quantitative magnetic resonance (...
Source: Annals of Biomedical Engineering - November 9, 2023 Category: Biomedical Engineering Authors: Galen F Roda Mohamed E Awad Danielle H Melton Cory L Christiansen Jason W Stoneback Brecca M M Gaffney Source Type: research
Explainable AI Elucidates Musculoskeletal Biomechanics: A Case Study Using Wrist Surgeries
Ann Biomed Eng. 2023 Nov 9. doi: 10.1007/s10439-023-03394-9. Online ahead of print.ABSTRACTAs datasets increase in size and complexity, biomechanists have turned to artificial intelligence (AI) to aid their analyses. This paper explores how explainable AI (XAI) can enhance the interpretability of biomechanics data derived from musculoskeletal simulations. We use machine learning to classify the simulated lateral pinch data as belonging to models with healthy or one of two types of surgically altered wrists. This simulation-based classification task is analogous to using biomechanical movement and force data to clinically d...
Source: Annals of Biomedical Engineering - November 9, 2023 Category: Biomedical Engineering Authors: Isaly Tappan Erica M Lindbeck Jennifer A Nichols Joel B Harley Source Type: research
The Amputated Limb Gluteus Medius is Biomechanically Disadvantaged in Patients with Unilateral Transfemoral Amputation
Ann Biomed Eng. 2023 Nov 9. doi: 10.1007/s10439-023-03400-0. Online ahead of print.ABSTRACTPatients with transfemoral amputation (TFA) are at an increased risk of secondary musculoskeleteal comorbidities, primarily due to asymmetric joint loading. Amputated limb muscle weakness is also prevalent in the TFA population, yet all factors that contribute to muscle strength and thus joint loading are not well understood. Our objective was to bilaterally compare gluteus medius (GMED) muscle factors (volume, fatty infiltration, moment arm) that all contribute to joint loading in patients with TFA. Quantitative magnetic resonance (...
Source: Annals of Biomedical Engineering - November 9, 2023 Category: Biomedical Engineering Authors: Galen F Roda Mohamed E Awad Danielle H Melton Cory L Christiansen Jason W Stoneback Brecca M M Gaffney Source Type: research
Explainable AI Elucidates Musculoskeletal Biomechanics: A Case Study Using Wrist Surgeries
Ann Biomed Eng. 2023 Nov 9. doi: 10.1007/s10439-023-03394-9. Online ahead of print.ABSTRACTAs datasets increase in size and complexity, biomechanists have turned to artificial intelligence (AI) to aid their analyses. This paper explores how explainable AI (XAI) can enhance the interpretability of biomechanics data derived from musculoskeletal simulations. We use machine learning to classify the simulated lateral pinch data as belonging to models with healthy or one of two types of surgically altered wrists. This simulation-based classification task is analogous to using biomechanical movement and force data to clinically d...
Source: Annals of Biomedical Engineering - November 9, 2023 Category: Biomedical Engineering Authors: Isaly Tappan Erica M Lindbeck Jennifer A Nichols Joel B Harley Source Type: research
The Amputated Limb Gluteus Medius is Biomechanically Disadvantaged in Patients with Unilateral Transfemoral Amputation
Ann Biomed Eng. 2023 Nov 9. doi: 10.1007/s10439-023-03400-0. Online ahead of print.ABSTRACTPatients with transfemoral amputation (TFA) are at an increased risk of secondary musculoskeleteal comorbidities, primarily due to asymmetric joint loading. Amputated limb muscle weakness is also prevalent in the TFA population, yet all factors that contribute to muscle strength and thus joint loading are not well understood. Our objective was to bilaterally compare gluteus medius (GMED) muscle factors (volume, fatty infiltration, moment arm) that all contribute to joint loading in patients with TFA. Quantitative magnetic resonance (...
Source: Annals of Biomedical Engineering - November 9, 2023 Category: Biomedical Engineering Authors: Galen F Roda Mohamed E Awad Danielle H Melton Cory L Christiansen Jason W Stoneback Brecca M M Gaffney Source Type: research
Explainable AI Elucidates Musculoskeletal Biomechanics: A Case Study Using Wrist Surgeries
Ann Biomed Eng. 2023 Nov 9. doi: 10.1007/s10439-023-03394-9. Online ahead of print.ABSTRACTAs datasets increase in size and complexity, biomechanists have turned to artificial intelligence (AI) to aid their analyses. This paper explores how explainable AI (XAI) can enhance the interpretability of biomechanics data derived from musculoskeletal simulations. We use machine learning to classify the simulated lateral pinch data as belonging to models with healthy or one of two types of surgically altered wrists. This simulation-based classification task is analogous to using biomechanical movement and force data to clinically d...
Source: Annals of Biomedical Engineering - November 9, 2023 Category: Biomedical Engineering Authors: Isaly Tappan Erica M Lindbeck Jennifer A Nichols Joel B Harley Source Type: research
The Amputated Limb Gluteus Medius is Biomechanically Disadvantaged in Patients with Unilateral Transfemoral Amputation
Ann Biomed Eng. 2023 Nov 9. doi: 10.1007/s10439-023-03400-0. Online ahead of print.ABSTRACTPatients with transfemoral amputation (TFA) are at an increased risk of secondary musculoskeleteal comorbidities, primarily due to asymmetric joint loading. Amputated limb muscle weakness is also prevalent in the TFA population, yet all factors that contribute to muscle strength and thus joint loading are not well understood. Our objective was to bilaterally compare gluteus medius (GMED) muscle factors (volume, fatty infiltration, moment arm) that all contribute to joint loading in patients with TFA. Quantitative magnetic resonance (...
Source: Annals of Biomedical Engineering - November 9, 2023 Category: Biomedical Engineering Authors: Galen F Roda Mohamed E Awad Danielle H Melton Cory L Christiansen Jason W Stoneback Brecca M M Gaffney Source Type: research
A Novel Transcatheter Device for the Edge-to-Edge Treatment of Tricuspid Regurgitation: A Preliminary Evaluation
Ann Biomed Eng. 2023 Nov 7. doi: 10.1007/s10439-023-03399-4. Online ahead of print.ABSTRACTTricuspid regurgitation (TR) is the most common pathology of the tricuspid valve (TV), with significant mortality in severe cases. A well-established strategy to treat TR is represented by the clover surgical technique, which consists of stitching together the free edges of TV leaflets, producing a clover-shaped valvular orifice. Transcatheter treatments for TR constitute a valuable alternative for high-risk patients. In this work we investigated haemodynamic performances and safety of a novel device (StarTric device (STD)) aiming to...
Source: Annals of Biomedical Engineering - November 7, 2023 Category: Biomedical Engineering Authors: Eleonora Salurso Francesca Perico Fabio Pappalardo Marco Gard Matteo Antoniotti Eugenio Passanante Daniele Zanotti Michele De Bonis Ottavio Alfieri Riccardo Vismara Source Type: research
