Andrew B. Robbins
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Andrew B. Robbins has a total of 96 co-authors. Here are the top co-authors by number of shared publications:
Michael R. Moreno
Department of Biomedical Engineering, Texas A&M University, United States
6 shared publications- Michael R. Moreno
Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843, USA
5 shared publications - Larry J. Suva
Department of Veterinary Physiology and Pharmacology, Texas A&M University College of Veterinary Medicine and Biomedical Sciences, College Station, TX
4 shared publications - Aaron Henry
Department of Multidisciplinary Engineering, College of Engineering, Texas A&M University, United States of America
3 shared publications Bradley K. Weiner
Department of Nanomedicine Surgical Advanced Technologies Lab Houston Methodist Research Institute Houston Texas USA
3 shared publications- Carson Benner
J. Mike Walker '66 Department of Mechanical Engineering, Texas A&M University, United States of America
3 shared publications
Latest Publications
- Open Access
Mechanically Inducing Gait Abnormalities to Evaluate the Equivalence of the StrideLink Gait Device to Motion Capture
Background: Inertial measurement units (IMUs) have potential to be inexpensive, portable sensors for collecting gait parameters and joint kinematics. Current validation protocols generally do not investigate IMU accuracy in measuring altered gait; therefore, they cannot assess an IMU’s ability to detect pathologies. The Stridelink IMU-based gait analysis device is intended for use in detecting and monitoring gait abnormalities, thus there is a need to evaluate the device’s accuracy under abnormal gait conditions. Research question: How well do measurements from the StrideLink IMU agree with motion capture (MoCap), particularly when gait is mechanically altered to simulate pathology? Methods: Twenty-eight healthy participants (ages 18-40) were analyzed during a one-minute tread-mill walk with Vicon MoCap and StrideLink. Tests were performed under normal and mechanically induced abnormal conditions (knee brace, walking boot). Equivalence testing and correlation analysis evaluated StrideLink’s accuracy against MoCap. Results: StrideLink showed statistical equivalence (within 5%) for average cadence, stride, swing, and stance times but not double support time. Many metrics were statistically equivalent (p < .001) despite induced abnormalities. Correlation analysis showed almost perfect agreement with MoCap for stride times, cadence, and stance. However, the abnormal gait protocol revealed nuances not observed in normal gait; specifically, the device underestimated swing time by ∼10 ms in knee brace restricted limbs. Significance: This study utilized mechanically induced gait abnormalities to assess the robustness of IMU measurements. Results indicate StrideLink yields valid temporal gait measurements comparable to reference systems, even under conditions of significant deviation, supporting the utility of using induced abnormalities for sensor validation.
Open AccessMechanically Inducing Gait Abnormalities to Evaluate the Equivalence of the StrideLink Gait Device to Motion Capture
Background: Inertial measurement units (IMUs) have potential to be inexpensive, portable sensors for collecting gait parameters and joint kinematics. Current validation protocols generally do not investigate IMU accuracy in measuring altered gait; therefore, they cannot assess an IMU’s ability to detect pathologies. The Stridelink IMU-based gait analysis device is intended for use in detecting and monitoring gait abnormalities, thus there is a need to evaluate the device’s accuracy under abnormal gait conditions. Research question: How well do measurements from the StrideLink IMU agree with motion capture (MoCap), particularly when gait is mechanically altered to simulate pathology? Methods: Twenty-eight healthy participants (ages 18-40) were analyzed during a one-minute tread-mill walk with Vicon MoCap and StrideLink. Tests were performed under normal and mechanically induced abnormal conditions (knee brace, walking boot). Equivalence testing and correlation analysis evaluated StrideLink’s accuracy against MoCap. Results: StrideLink showed statistical equivalence (within 5%) for average cadence, stride, swing, and stance times but not double support time. Many metrics were statistically equivalent (p < .001) despite induced abnormalities. Correlation analysis showed almost perfect agreement with MoCap for stride times, cadence, and stance. However, the abnormal gait protocol revealed nuances not observed in normal gait; specifically, the device underestimated swing time by ∼10 ms in knee brace restricted limbs. Significance: This study utilized mechanically induced gait abnormalities to assess the robustness of IMU measurements. Results indicate StrideLink yields valid temporal gait measurements comparable to reference systems, even under conditions of significant deviation, supporting the utility of using induced abnormalities for sensor validation.
- 6 October 2025
- Published by Elsevier in Journal of Biomechanics
- Vol. 193, 112985
Corrigendum to “Predictive estimation of ovine hip joint centers: Neural networks vs. linear regression” [J. Biomech. 182 (2025) 112552]
- 6 October 2025
- Published by Elsevier in Journal of Biomechanics
- Vol. 193, 112985
Corrigendum to “Predictive estimation of ovine hip joint centers: Neural networks vs. linear regression” [J. Biomech. 182 (2025) 112552]
- 5 September 2025
- Published by Elsevier in Journal of the Mechanical Behavior of Biomedical Materials
- Vol. 172, 107184
Corrigendum to “Double 4-bar shear: A novel apparatus and method for simple shear mechanical analysis of membranes” [J. Mech. Behav. Biomed. Mater. 171 (2025) 10.1016/j.jmbbm.2025.107113]
- 5 September 2025
- Published by Elsevier in Journal of the Mechanical Behavior of Biomedical Materials
- Vol. 172, 107184
Corrigendum to “Double 4-bar shear: A novel apparatus and method for simple shear mechanical analysis of membranes” [J. Mech. Behav. Biomed. Mater. 171 (2025) 10.1016/j.jmbbm.2025.107113]
- 24 July 2025
- Published by Elsevier in Journal of the Mechanical Behavior of Biomedical Materials
- Vol. 171, 107113
Double 4-bar shear: A novel apparatus and method for simple shear mechanical analysis of membranes
- 24 July 2025
- Published by Elsevier in Journal of the Mechanical Behavior of Biomedical Materials
- Vol. 171, 107113
Double 4-bar shear: A novel apparatus and method for simple shear mechanical analysis of membranes
- 15 July 2025
- Published by Elsevier in Journal of Biomechanics
- Vol. 190, 112848
Modeling and prediction of body segment inertial properties of sheep from tomographic imaging
- 15 July 2025
- Published by Elsevier in Journal of Biomechanics
- Vol. 190, 112848
Modeling and prediction of body segment inertial properties of sheep from tomographic imaging
- Open Access
Modeling and Prediction of Body Segment Inertial Properties of Sheep from Tomographic Imaging
Estimation of body segment inertial properties (BSIPs) is a crucial step in development of inverse dynamics models. The goal of this study was to develop predictive models to estimate the mass, center of mass, and inertia tensor of the hindlimbs of sheep using easily obtainable morphometric data. In addition, this study presents a more comprehensive and repeatable method for defining each hindlimb body segment when calculating BSIPs from CT data. CT scans from 16 sheep of varying age, weight, sex, and phenotype were used to develop predictive models to estimate the BSIPs of the pelvis, thigh, crus, metatarsus, and pastern segments. The predictive models developed enable investigators to create inverse dynamics models of sheep hindlimbs. These models are particularly informative and expand the use of ovine models of human musculoskeletal disease.
Open AccessModeling and Prediction of Body Segment Inertial Properties of Sheep from Tomographic Imaging
Estimation of body segment inertial properties (BSIPs) is a crucial step in development of inverse dynamics models. The goal of this study was to develop predictive models to estimate the mass, center of mass, and inertia tensor of the hindlimbs of sheep using easily obtainable morphometric data. In addition, this study presents a more comprehensive and repeatable method for defining each hindlimb body segment when calculating BSIPs from CT data. CT scans from 16 sheep of varying age, weight, sex, and phenotype were used to develop predictive models to estimate the BSIPs of the pelvis, thigh, crus, metatarsus, and pastern segments. The predictive models developed enable investigators to create inverse dynamics models of sheep hindlimbs. These models are particularly informative and expand the use of ovine models of human musculoskeletal disease.
- 30 January 2025
- Published by Elsevier in Journal of Biomechanics
- Vol. 182, 112552
Predictive estimation of ovine hip joint centers: Neural networks vs. linear regression
- 30 January 2025
- Published by Elsevier in Journal of Biomechanics
- Vol. 182, 112552
Predictive estimation of ovine hip joint centers: Neural networks vs. linear regression
- 1 October 2023
- Published by Wolters Kluwer Health in American Journal of Gastroenterology
- Vol. 118 (10S) , S840-S841
S1103 Using a Gradient Boosted Decision Tree to Predict Disease Activity in Ulcerative Colitis Patient From Wearable Data
- 1 October 2023
- Published by Wolters Kluwer Health in American Journal of Gastroenterology
- Vol. 118 (10S) , S840-S841
S1103 Using a Gradient Boosted Decision Tree to Predict Disease Activity in Ulcerative Colitis Patient From Wearable Data
- 17 April 2023
- Published by ASME International
EXPERIMENTAL VALIDATION OF A COMPUTATIONAL KNEE MODEL OF TKR IMPLANT PLACEMENT
The goal of this work was to experimentally validate a computational model for TKRs to improve implant alignment accuracy and assess potential implant misalignment during preoperative planning. Initial validation of the model was achieved by comparing ligament strain energies between the computational model and a physical knee model comprised of bone and ligament analogues. Experimental validation would be considered met when the computational model strain energies were within 10% of the measured values for all six physical knees. Physical and computational knee models were created with six variations of implant alignment to test the robustness of the computational model. Strain energy errors were well within the 10% threshold across knee range of motion.
- 17 April 2023
- Published by ASME International
EXPERIMENTAL VALIDATION OF A COMPUTATIONAL KNEE MODEL OF TKR IMPLANT PLACEMENT
The goal of this work was to experimentally validate a computational model for TKRs to improve implant alignment accuracy and assess potential implant misalignment during preoperative planning. Initial validation of the model was achieved by comparing ligament strain energies between the computational model and a physical knee model comprised of bone and ligament analogues. Experimental validation would be considered met when the computational model strain energies were within 10% of the measured values for all six physical knees. Physical and computational knee models were created with six variations of implant alignment to test the robustness of the computational model. Strain energy errors were well within the 10% threshold across knee range of motion.
- 3 February 2023
- Published by American Association for the Advancement of Science (AAAS) in Science Advances
- Vol. 9 (5) , eade9068
Late Pleistocene osseous projectile point from the Manis site, Washington—Mastodon hunting in the Pacific Northwest 13,900 years ago
Bone fragments embedded in a rib of a mastodon ( Mammut americanum ) from the Manis site, Washington, were digitally excavated and refit to reconstruct an object that is thin and broad, has smooth, shaped faces that converge to sharp lateral edges, and has a plano-convex cross section. These characteristics are consistent with the object being a human-made projectile point. The 13,900-year-old Manis projectile point is morphologically different from later cylindrical osseous points of the 13,000-year-old Clovis complex. The Manis point, which is made of mastodon bone, shows that people predating Clovis made and used osseous weapons to hunt megafauna in the Pacific Northwest during the Bølling-Allerød.
- 3 February 2023
- Published by American Association for the Advancement of Science (AAAS) in Science Advances
- Vol. 9 (5) , eade9068
Late Pleistocene osseous projectile point from the Manis site, Washington—Mastodon hunting in the Pacific Northwest 13,900 years ago
Bone fragments embedded in a rib of a mastodon ( Mammut americanum ) from the Manis site, Washington, were digitally excavated and refit to reconstruct an object that is thin and broad, has smooth, shaped faces that converge to sharp lateral edges, and has a plano-convex cross section. These characteristics are consistent with the object being a human-made projectile point. The 13,900-year-old Manis projectile point is morphologically different from later cylindrical osseous points of the 13,000-year-old Clovis complex. The Manis point, which is made of mastodon bone, shows that people predating Clovis made and used osseous weapons to hunt megafauna in the Pacific Northwest during the Bølling-Allerød.