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8/8/2019 Effect of Vision on Stability of Head
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Mobin Rastgar Agah
Temple Biomechanics Laboratory
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Each year one in every three adults age 65and older falls.
Falls are the most common cause of hospitaladmissions for trauma.
Falls are the leading cause of injury deathamong those age 65 and older. Over 18,000
older adults died from fall injuries in 2007.
Direct medical costs of falls totaled over $19billion in 2000.
Centers for Disease Control and Prevention
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Self-motiondetection &
posturalcontrol
Vision
Vestibularsystem
Somatosensory
System
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A good prototype for stability of entirebody
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CCR (cervico-collic reflex)Automatic response of neck muscles to activation of themselves
VCR (vestibulo-collic reflex)
Automatic response of neck muscles to vestibular system Visual reflex
Automatic response of neck muscles to visual input
Voluntary mechanisms
These mechanisms work together to stabilize the headaround the direction of gaze.
Pozzo T. et. al. (1990). Exp. Brain Res., 82, 97-106Pozzo T. et. al. (1989). Progr. Brain Res., 80, 377-383
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Visual stimulation can induce self-motion perception.
Accurate detection of inertial motion decreases in presenceof stationary visual input.
Correct detection of self motion in case of discordantvisual flow is lower than concordant visual flow.
Misaligned visual motion (wrt inertial motion) dominates theself-motion perception.
Wright W.G. et. al. (2005). J. vestibular Res., 15, 185-195Ohmi M. et. al. (1996). Cogn. Brain Res., 5, 87-96
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Our hypothesis is that:
Visual input dominates the head stability at certain lower
frequencies (~ 0.2 Hz) of inertial input while the vestibularmechanism determine the head movements at higherfrequencies (~ 2 Hz).
This can help to design standard tests in order to find thepotential source of fall for those who are at risk .
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Race car seat
5 point harness belt
Feet straps Frame and platform
The body can be fixed in thechair properly with onlyhead and neck free.(Corbea - Sandy)
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Track and sled
Servomotor
Modular Drive System PowerTools software
~ 1.5m amplitude
0.1 to 5 Hz frequency
(WH120 - WIESEL SPEEDLine)(MH8500 Control Techniques)(MD434 Control Techniques)
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1-axis Gyroscopes
3-axis accelerometers
2-axis accelerometers
(ADXL320EB, 5g Analog Devices)(ADXL335Z , 3g Analog Devices)(ADXRS624, 50o/s Analog Devices)
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Camera
Head mount
HMD (Head MountDisplay)
(203CA-1 - Pine Computer)(HR920-3D, i-o Display Systems
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Labview software
Signal Conditioning
Data Acquisition card
Sampling frequency of1000 Hz
(SC2311 National Instruments)(PCI6281-National Instruments)
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Eyes open, Eyes closed, Backward ,Sid-ways
3 trial for each visualinertial condition
Linear sinusoidal motion with frequencies:
0.1, 0.2, 0.5, 1.1
Linear acceleration of head and sled
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Initial data analysis with transformfunctions showed no significant differences.
Using Approximate Entropy (ApEn)revealed significant differences betweencertain conditions.
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Measures regularity of time series as anumber between 0 and 2.
Larger numbers corresponds to noisy(unpredictable) signal.
Pincus, S. M. (1991). Approximate entropy as a measure of systemcomplexity. Proceedings of the National Academy of Science, 88, 2297-2301.
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ApEn = 0.247
ApEn = 1.812
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Approximate Entropy at 0.2 Hz frequency
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AccY 0.2 Hz
EO-SW
EC-SW
BW-EO
(p=0.03)
(p=0.05)
(p=0.042)
AccY 0.5 Hz BW-SW (p=0.01)
AccZ 0.2 Hz EC-EO (p=0.002)
AccZ 0.5 HzBW-EC
BW-EO
(p=0.035)
(p=0.039)
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Focusing on frequencies between 0.2 and0.5 Hz for visual input
Movement of head in local coordinate
Lowering the noise level in data
Choosing consistent sampling frequency
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More subjects
More realistic HMD (already obtained)
Different computer generated visualconditions (Virtual reality)
Motion analysis systems to verify the data
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Questions?
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Semicircular canals detect rotational motion.
Otolithic organs detect linear acceleration
Figure fromWikipedia
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