Motion Analysis Insights

SMART-DX EVO
Advanced Biomechanical Analysis for Clinical, Sports, and Research Applications
Unlock High-Performance Motion Data – Accurate, Real-Time Analysis for Clinical Assessments, Sports Performance, and Research Insight
The SMART-DX EVO system is a cutting-edge motion capture solution designed to deliver high-performance and versatile motion analysis for clinical, sports, and research settings.
At its core are SMART-DX EVO digital cameras—compact, integrated units that combine infrared imaging with real-time data processing.
With the ability to integrate up to 256 cameras, each equipped with its own data processing unit, the SMART-DX EVO system employs a distributed intelligence architecture that enhances motion capture efficiency and overall performance. This architecture ensures precise, seamless analysis in diverse environments.
BTS EVO Software Suite:
Advanced Motion Analysis for Clinical, Sports, and Biomechanical Applications
The BTS EVO Software is a user-friendly motion analysis solution designed to cater to a broad range of users, from doctors to sports trainers. It leverages advanced machine learning algorithms for movement pattern recognition, significantly improving the accuracy of human body motion capture.
EVO Capture seamlessly manages all BTS devices within a lab, allowing flexible module selection while ensuring synchronization across all systems.
Equipped with validated protocols recognized by the international scientific community, the software provides reliable quantitative data for easy comparison with normal ranges. It supports multiple models and marker sets, including the widely used Conventional Gait Model (CGM), essential for clinical gait analysis.
Continuously evolving to integrate advanced features, BTS EVO Software offers an intuitive, powerful tool for real-time motion analysis across clinical, sports, and research applications.
This study examined the effects of background music and noise on manual dexterity in young, middle-aged, and elderly subjects. Sixty right-handed participants performed the Nine Hole Peg Test in four acoustic environments: silence, classical music, rock music, and noise. Results showed no significant impact of music or noise on task performance across all age groups. However, younger participants performed better than middle-aged and elderly participants, suggesting age-related differences in manual dexterity. The findings suggest that typical acoustic stimuli do not affect manual dexterity in these groups.
Adamo, Paola et al. “The role of different acoustic environmental stimuli on manual dexterity.” PloS one vol. 19,7 e0307550. 22 Jul. 2024, doi:10.1371/journal.pone.0307550
DongTan Sacred Heart Hospital
A leading institution for advanced healthcare and clinical researchDongTan Sacred Heart Hospital in South Korea is a state-of-the-art facility with 1,000 beds, specializing in personalized care through 15 specialized centers. Its otorhinolaryngology department focuses on facial nerve conditions and uses the FREEEMG 8-channel system for accurate diagnosis and rehabilitation. The hospital provides advanced, real-time data to guide treatments for facial abnormalities. The use of FREEEMG enhances personalized biofeedback and improves rehabilitation outcomes.