Scott L. Delp

Validating OpenCap Kinematics for ACL Injury-Related Movements In and Out of the Lab

This study evaluates OpenCap's accuracy in measuring ACL injury risk factors both in and out of the lab compared to optical motion capture.

Deep learning models detect neuromuscular disease and quantify functional impairment from video-derived biomechanics data

This paper develops deep learning models to detect neuromuscular diseases and quantify movement impairment using video-derived biomechanics data from smartphone recordings.

Is shorter faster? The geometry and aerodynamics of crank length in cycling

This paper investigates how crank length affects cycling performance by linking rider anatomy, hip kinematics, and aerodynamics, showing shorter cranks improve aerodynamics with minimal mechanical cost.

StaBLE: digital metrics capture balance performance across a wide spectrum of balance tasks and abilities

The paper introduces StaBLE, a digital balance assessment tool validated against clinical scales, showing strong correlations and improved detection of fall risk.

The menstrual cycle through the lens of a wearable device: insights into physiology, sleep, and cycle variability

This study analyzes biometric data from 2,596 women over 1.2 million days to explore menstrual cycle variability and its relationship with sleep and cardiorespiratory metrics.

Simulation-guided design of exotendons to reduce the energetic cost of running

This paper uses simulations to predict optimal exotendon designs for reducing running energy costs at higher speeds and validates these predictions experimentally.

Hamstrings muscle dynamics during the Nordic hamstring exercise and high-speed running

This study compares the biomechanical demands of Nordic hamstring exercise and high-speed running on the biceps femoris long head muscle, finding differences in force, work, and power.

Knee and Hip Joint Dynamics Differ between Sprinting and Nordic Hamstring Exercises

This study compares knee and hip joint dynamics during sprinting and Nordic hamstring exercises, finding differences in biomechanical demands and hamstrings muscle-tendon unit behavior.

Running with an exotendon reduces compressive knee contact force

This study finds that using an exotendon reduces peak knee compressive contact force during running without affecting shear forces or other joints.

How peak knee loads are affected by changing the mass of lower-limb body segments during walking

This study investigates how adding mass to different lower-limb segments affects peak knee contact forces during walking, finding that foot mass increases forces more than thigh or shank mass.

Video-based biomechanical analysis captures disease-specific movement signatures of different neuromuscular diseases

Smartphone-video biomechanics (OpenCap) reproduced four timed function tests (r > 0.98) and separated facioscapulohumeral from myotonic dystrophy better than test times (balanced accuracy 82% vs 50%; 129 participants).

Simulations reveal how touchdown kinematic variables affect top sprinting speed: implications for coaching

This study uses simulations to show that horizontal touchdown distance (HTD) affects sprinting speed, while inter-knee touchdown distance (IKTD) does not, providing guidance for coaching techniques.

Predicting Savings in the Metabolic Cost of Running With an Exotendon

This paper uses simulations to predict energy savings from exotendons at 4 m/s, finding that longer, stiffer designs offer greater savings than shorter, more compliant ones.

Marker Data Enhancement For Markerless Motion Capture

This paper improves motion capture accuracy by enhancing sparse keypoints with a more generalizable marker enhancer trained on a larger dataset.

Hamstrings are stretched more and faster during accelerative running compared to speed-matched constant speed running

This study compares hamstring mechanics during accelerative and constant speed running, finding greater muscle-tendon lengths and lengthening velocities during acceleration.

Personalizing a computational upper body model improves kinematic tracking in high range-of-motion arm movements

The paper personalizes a computational upper body model to improve kinematic tracking in arm movements, showing reduced tracking errors in both static and dynamic poses.

High-fidelity Musculoskeletal Modeling Reveals a Motor Planning Contribution to the Speed-Accuracy Tradeoff

The paper introduces a high-fidelity musculoskeletal model of reaching movements that reproduces Fitts law without signal-dependent noise, suggesting the speed-accuracy tradeoff arises from motor planning variability and optimal control theory.

The turning and barrier course reveals gait parameters for detecting freezing of gait and measuring the efficacy of deep brain stimulation

This paper validates a gait task, the turning and barrier course, for detecting freezing of gait and measuring the efficacy of deep brain stimulation in Parkinson's disease.

Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences

This paper develops a weakly supervised deep learning model to classify aortic valve malformations using unlabeled cardiac MRI sequences, showing improved performance over supervised models.

Reversible temporally-specific inhibition of muscle using a light-activated chloride channel

This paper demonstrates reversible, temporally specific optogenetic inhibition of motor neurons and muscle activity in mice using a light-activated chloride channel.