This study is being done to measure real-world motions and forces in the spine during everyday activities. This information will be used to develop and validate a computer model of how the spine moves and determine injury risk.
Kinematic motion data will be collected at 120 Hz using a 14-camera Real Time Motion Analysis system. Cortex software (Motion Analysis Corp., Rohnert Park, CA) will be used to visualize the data during physical activities. A developed Matlab code will be used for data analysis. Statistical parametric mapping (SPM) will be used to collect the entire kinematic motion waveforms to compare motion profiles of different individuals. Also, the peak values for each activity will be captured for statistical analysis. Muscle response and electrical activity, which will be used to estimate muscle forces, will be recorded during gait analysis from the paraspinal lumbar muscles using an EMG system. Surface electrodes will be attached to the lumbar spine. EMG data will be collected at 2400 Hz. For each participant, the investigators will record five trials per activity. Additionally, gait speed as well as static and dynamic balance will assess. Knee and grip strength will also be measured. Finally, physical activity levels will be assessed both objectively and subjectively.
Study Type
OBSERVATIONAL
Enrollment
40
Mayo Clinic Rochester
Rochester, Minnesota, United States
Thoracic and lumbar spine ranges of motions in degrees
Time frame: Day 1
Paraspinal muscle activities in Newtons
Time frame: Day 1
Upper extremity strength in Newtons
Time frame: Day 1
Lower extremity strength in Newton-meters
Time frame: Day 1
Physical activity levels measured by IPAQ questionnaire in MET-minutes per week
MET (metabolic equivalent task) is defined as 1 kcal/kg/hour
Time frame: Day 1
Physical activity levels measured by accelerometry in MET-minutes per week
Time frame: Day 5
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