Samuel A. Acuña

Dr. Samuel A. Acuña

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 March 2022 in Neurorehabilitation and Neural Repair
Verified
Journal Article
Closed access
SASamuel A. Acuña
Samuel A. Acuña
MTMitchell E. Tyler
Mitchell E. Tyler
DTDarryl G Thelen
Darryl G Thelen
Background: Synergy analysis provides a means of quantifying the complexity of neuromuscular control during gait. Prior studies have shown evidence of reduced neuromuscular complexity during gait in individuals with neurological disorders associated with stroke, cerebral palsy, and Parkinson’s disease. Objective: The purpose of this study was to investigate neuromuscular complexity during gait in individuals who experienced a prior traumatic brain injury (TBI) that resulted in chronic balance deficits. Methods: We measured and analyzed lower extremity electromyographic data during treadmill and overground walking for 44 individuals with residual balance deficits from a mild-to-moderate TBI at least 1 year prior. We also tested 20 unimpaired controls as a comparison. Muscle synergies were calculated for each limb using non-negative matrix factorization of the activation patterns for 6 leg muscles. We quantified neuromuscular complexity using Walk-DMC, a normalized metric of the total variance accounted for by a single synergy, in which a Walk-DMC score of 100 represents normal variance accounted for. We compared group average synergy structures and inter-limb similarity using cosine similarity. We also quantified each individual’s gait and balance using the Sensory Organization Test, the Dynamic Gait Index, and the Six-Minute Walk Test. Results: Neuromuscular complexity was diminished for individuals with a prior TBI. Walk-DMC averaged 92.8 ± 12.3 for the TBI group during overground walking, which was significantly less than seen in controls (100.0 ± 10.0). Individuals with a prior TBI exhibited 13% slower overground walking speeds than controls and reduced performance on the Dynamic Gait Index (18.5 ± 4.7 out of 24). However, Walk-DMC measures were insufficient to stratify variations in assessments of gait and balance performance. Group average synergy structures were similar between groups, although there were considerable between-group differences in the inter-limb similarity of the synergy activation vectors. Conclusions: Individuals with gait and balance deficits due to a prior TBI exhibit evidence of decreased neuromuscular complexity during gait. Our results suggest that individuals with TBI exhibit similar muscle synergy weightings as controls, but altered control of the temporal activation of these muscle weightings.

1 February 2019 in Journal of Electromyography and Kinesiology
Verified
Journal Article
Closed access
SASamuel A. Acuña
Samuel A. Acuña
CFCarrie A. Francis
Carrie A. Francis
JFJason R. Franz
Jason R. Franz
DTDarryl G Thelen
Darryl G Thelen

1 May 2018 in Gait & Posture
Verified
Journal Article
Closed access
SASamuel A. Acuña
Samuel A. Acuña
MTMitchell E. Tyler
Mitchell E. Tyler
YDYuri P. Danilov
Yuri P. Danilov
DTDarryl G Thelen
Darryl G Thelen

14 June 2024 in IEEE Transactions on Biomedical Engineering
Verified
Journal Article
Closed access
ABAhmed Bashatah
Ahmed Bashatah
BMBiswarup Mukherjee
Biswarup Mukherjee
ARAfsana Rima
Afsana Rima
SPShriniwas Patwardhan
Shriniwas Patwardhan
POPaul Otto
Paul Otto
SSSiddhartha Sikdar
Siddhartha Sikdar
Objective: Wearable ultrasound is emerging as a new paradigm of real-time imaging in freely moving humans and has wide applications from cardiovascular health monitoring to human gesture recognition. However, current wearable ultrasound devices have typically employed pulse-echo imaging which requires high excitation voltages and sampling rates, posing safety risks, and requiring specialized hardware. Our objective was to develop and evaluate a wearable ultrasound system based on time delay spectrometry (TDS) that utilizes low-voltage excitation and significantly simplified instrumentation. Methods: We developed a TDS-based ultrasound system that utilizes continuous, frequency-modulated sweeps at low excitation voltages. By mixing the transmit and receive signals, the system digitizes the ultrasound signal at audio frequency (kHz) sampling rates. Wearable ultrasound transducers were developed, and the system was characterized in terms of imaging performance, acoustic output, thermal characteristics, and applications in musculoskeletal imaging. Results: The prototype TDS system is capable of imaging up to 6 cm of depth with signal-to-noise ratio of up to 42 dB at a spatial resolution of 0.33 mm. Acoustic and thermal radiation measurements were within clinically safe limits for continuous ultrasound imaging. We demonstrated the ability to use a 4-channel wearable system for dynamic imaging of muscle activity. Conclusion: We developed a wearable ultrasound imaging system using TDS to mitigate challenges with pulse echo-based wearable ultrasound imaging systems. Our device is capable of high-resolution, dynamic imaging of deep-seated tissue structures and is safe for long-term use. Significance: This work paves the way for low-voltage wearable ultrasound imaging devices with significantly reduced hardware complexity.

1 August 2019 in Human Movement Science
Verified
Journal Article
Closed access
SASamuel A. Acuña
Samuel A. Acuña
JZJohn D. Zunker
John D. Zunker
DTDarryl G Thelen
Darryl G Thelen

9 December 2019 in Physiological Reports
Verified
Journal Article
Open access
PDF file
SASamuel A. Acuña
Samuel A. Acuña
AEAnahid Ebrahimi
Anahid Ebrahimi
RPRobin L. Pomeroy
Robin L. Pomeroy
JMJack A. Martin
Jack A. Martin
DTDarryl G Thelen
Darryl G Thelen
We show that Achilles tendon shear wave speed can track the subtle variations in tendon loading that modulate sway during quiet standing. Tendon wave speed exhibited sufficient sensitivity to track i...