Analysis of Age on Muscle Strength Based on Activities of Daily Living Using Surface EMG and Inertial Motion Sensors.
Session Number
MEDH 12
Advisor(s)
Ashwin Mohan, Illinois Mathematics and Science Academy
Discipline
Medical and Health Sciences
Start Date
17-4-2025 11:25 AM
End Date
17-4-2025 11:40 AM
Abstract
Neuromuscular control plays a critical role in rehabilitation, neuromuscular disease, biofeedback, and neuroprosthetics. However, limited research exists on how demographic factors such as age, gender, and activity levels influence muscle activity patterns.
This study examines neuromuscular aging by analyzing four variations of everyday activities. The experimental design integrates Electromyography (EMG) with multiple sensors—force, angle, and accelerometers—to assess the effects of demographic factors on muscle atrophy. Data was collected from 25 healthy adults (ages 19-61) using surface EMG (sEMG) and a Vernier system.
Initial findings indicate that muscle atrophy becomes more pronounced with age, particularly in individuals aged 40-50, as evidenced by a 15% decline in RMS values of sEMG frequencies. Additionally, participants over 50 exhibited a 25% decrease in force exerted on a dynamometer compared to those 30 and under. These results suggest aging significantly impacts muscle function and strength.
This study provides novel insights into demographic influences on muscle activity patterns, addressing gaps in existing research. Expanding the study to assess long-term neuromuscular adaptation could enhance medical interventions, rehabilitation therapies, fitness applications, and neurofeedback for prosthetics, ultimately improving outcomes for individuals affected by muscle deterioration.
Analysis of Age on Muscle Strength Based on Activities of Daily Living Using Surface EMG and Inertial Motion Sensors.
Neuromuscular control plays a critical role in rehabilitation, neuromuscular disease, biofeedback, and neuroprosthetics. However, limited research exists on how demographic factors such as age, gender, and activity levels influence muscle activity patterns.
This study examines neuromuscular aging by analyzing four variations of everyday activities. The experimental design integrates Electromyography (EMG) with multiple sensors—force, angle, and accelerometers—to assess the effects of demographic factors on muscle atrophy. Data was collected from 25 healthy adults (ages 19-61) using surface EMG (sEMG) and a Vernier system.
Initial findings indicate that muscle atrophy becomes more pronounced with age, particularly in individuals aged 40-50, as evidenced by a 15% decline in RMS values of sEMG frequencies. Additionally, participants over 50 exhibited a 25% decrease in force exerted on a dynamometer compared to those 30 and under. These results suggest aging significantly impacts muscle function and strength.
This study provides novel insights into demographic influences on muscle activity patterns, addressing gaps in existing research. Expanding the study to assess long-term neuromuscular adaptation could enhance medical interventions, rehabilitation therapies, fitness applications, and neurofeedback for prosthetics, ultimately improving outcomes for individuals affected by muscle deterioration.