Preliminary investigation of energy comparation between gyroscope, electromyography and VO2 wearable sensors

Building on previous experiments in the domain of energy expenditure estimation using wearable sensors, the measurements of energy ratios of a runner on a treadmill were analyzed to observe any commonalities between an inertia measurement unit and an electromyograph sensor. The subjects were equipped with a VO2 gas measurement device, an Inertial Measurement Unit (IMU) measuring gyroscopic activity and an electromyography (EMG) sensor network whilst running at 5 different speeds on a calibrated treadmill. The observed results established a co-linear relationship with the gyroscope based measurements, EMG based measurements with the VO2 measurements.

[1]  Philip E. Martin,et al.  A Model of Human Muscle Energy Expenditure , 2003, Computer methods in biomechanics and biomedical engineering.

[2]  Thomas Reilly,et al.  Estimating Human Energy Expenditure , 2003, Sports medicine.

[3]  B. Chance,et al.  Near-infrared spectroscopy/imaging for monitoring muscle oxygenation and oxidative metabolism in healthy and diseased humans. , 2007, Journal of biomedical optics.

[4]  M. Fink,et al.  Supersonic shear imaging: a new technique for soft tissue elasticity mapping , 2004, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[5]  Lambert Schomaker,et al.  Motor Unit Firing Rate During Static Contraction Indicated by the Surface EMG Power Spectrum , 1983, IEEE Transactions on Biomedical Engineering.

[6]  François Hug,et al.  Estimation of Individual Muscle Force Using Elastography , 2011, PloS one.

[7]  F C T van der Helm,et al.  Muscle oxygen consumption, determined by NIRS, in relation to external force and EMG. , 2003, Journal of biomechanics.

[8]  O. Schmitt.  The heat of shortening and the dynamic constants of muscle , 2017 .

[9]  B. Hannaford,et al.  Short Time Fourier Analysis of the Electromyogram: Fast Movements and Constant Contraction , 1986, IEEE Transactions on Biomedical Engineering.

[10]  Pubudu N. Pathirana,et al.  Ambulatory Energy Expenditure Evaluation for Treadmill Exercises , 2015, ICOST.

[11]  Luciano Luporini Menegaldo,et al.  Individual-specific muscle maximum force estimation using ultrasound for ankle joint torque prediction using an EMG-driven Hill-type model. , 2010, Journal of biomechanics.

[12]  G. Loeb,et al.  Mammalian Muscle Model for Predicting Force and Energetics During Physiological Behaviors , 2012, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[13]  A. Hill.  The heat of shortening and the dynamic constants of muscle , 1938 .