May 5, 2015 - motor physiology underlying behavioral states can now be objectively characterized with unprecedented precision, beyond verbal reports and ...
5/6/2015
Oasis, The Online Abstract Submission System
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Control/Tracking Number: 2015S6549SfN Activity: Scientific Abstract Current Date/Time: 5/5/2015 11:51:37 PM SensoryMotor physiological signatures underlying natural behaviors: A characterization across the human spectrum ranging from typical to pathological states
AUTHOR BLOCK: *U. V. MAJMUDAR, J. NGUYEN, E. TORRES; Rutgers Univ., Piscataway, NJ Abstract: The recent revolution in wearable sensors facilitates the continuous registration of a broad spectrum of motion signals during the performance of natural activities of daily living, including sleep and exercise. Various aspects of sensory motor physiology underlying behavioral states can now be objectively characterized with unprecedented precision, beyond verbal reports and subjective inferences. Integrating various outputs from such sensors can give us long time series of kinematics and autonomicsystem signals throughout the day and across months of continuous recordings. This on the other hand poses new problems to develop analytics that handle large volumes of rapidly accumulating data. We here present new analytical techniques to handle big data and process various physiological signals such as motion, skin surface temperature, heart rate, blood volume, among other outputs from wearable sensing technology. Subjects performed tasks including dancing, walking, sleeping, decisionmaking, and tasks in response to perceptual stimuli, while wearing sensors on various parts of the body for up to 15 hours. Inertial measurement units (APDM 128Hz, Oregon) recorded acceleration and gyration. A graphical user interface (GUI) was designed and implemented in MATLAB to automatically process large volumes of data and provide longitudinal tracking of the evolution of the stochastic signatures of the subjects’ physiological signals. In addition to the use of the GUI in typical populations, we demonstrate the use of this GUI in a variety of clinical populations with neurological disorders and mental illnesses. The latter include schizophrenia, bipolar disorder, and general executive dysfunction. The former included autism, sensory processing disorder, and a genetic deletion giving rise to an autistic phenotype. We propose the use of the GUI interface and the statistical platform to characterize bodily responses and provide realtime, objective readouts of the subject’s volitional control as a function of statistically predictive outcomes. Furthermore, during therapeutic interventions we use the wearables and biometrics to characterize and track levels of anxiety, stress, dysregulation as well as compliance, selfregulation and positive outcomes. These objective outcome measures provide indexes to assess the effectiveness, risk and generalization of a plethora of interventions that are now subjectively assessed and for which no insurance coverage currently exists. : http://www.abstractsonline.com/submit/SubmitPrinterFriendlyVersion.asp?ControlKey=%7B483F291F%2D9929%2D4CF9%2DA0E0%2DFE7C8187F7AB%7…
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5/6/2015
Oasis, The Online Abstract Submission System
Presentation Preference (Complete): Nanosymposium Preferred Linking Group (Complete): SandBrass Nanosymposium Information (Complete): Briefly explain (500 characters including spaces) the timeliness and importance of your research and the overall theme of your proposed group. : New biometrics to characterize the neurophysiology of sensorymotor control in autism are important and currently needed. The overall theme of our group is autistic disorders and new ways to quantify sensory motor issues underlying social and cognitive impairments. Chair : Elizabeth B. Torres Does your group contain more than two abstracts from the same lab?: Yes Theme and Topic (Complete): C.06.a. Autism: Behavioral analysis ; C.06.e. Autism: Physiology and systems Keyword (Complete): AUTISM ; SENSORIMOTOR ; PHENOTYPE Support (Complete): Support: Yes Grant/Other Support: : NJ Governor's Council for Autism Research and Treatments Grant/Other Support: : The Nancy Lurie Marks Family Foundation Early Career Award Special Requests (Complete): Would you be interested in being considered for a dynamic poster?: Yes, I am interested in presenting a Dynamic Poster Is the submitting author of this abstract also a senior author?: No Is the first (presenting) author of this abstract a high school or undergraduate student?: Undergrad Religious Conflict?: No Religious Conflict Additional Conflict?: No Status: Complete Oasis Helpdesk
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5/6/2015
Oasis, The Online Abstract Submission System
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