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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:America/Denver
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DTSTART:20230312T030000
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DTSTART:20231105T010000
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BEGIN:VEVENT
DTSTAMP:20230321T220135Z
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DTSTART;TZID=America/Denver:20230314T180000
DTEND;TZID=America/Denver:20230314T191500
DESCRIPTION:This lecture will review recent advances in the application of 
 digital health technologies to the field of tele-rehabilitation. We will s
 how how relying on digital health technologies and on machine learning alg
 orithms\, researchers have developed approaches suitable to derive accurat
 e estimates of clinical scores via the analysis of data collected during t
 he performance of functional movements. Examples provided during the lectu
 re will include techniques to assess motor impairments and functional limi
 tations from sensor and video data. We will discuss how digital technologi
 es can be used to collect data to generate feedback during the performance
  of rehabilitation exercises outside of the clinic. Finally\, we will disc
 uss how these technologies can transform the way rehabilitation interventi
 ons are designed and implemented as they enable tracking individual respon
 ses to clinical interventions.\n\nSpeaker(s): Dr. Paolo Bonato\, \n\nVirtu
 al: https://events.vtools.ieee.org/m/350187
LOCATION:Virtual: https://events.vtools.ieee.org/m/350187
ORGANIZER:lwhitby@ieee.org
SEQUENCE:2
SUMMARY:Using Digital Health Technology To Enable Tele-Rehabilitation Inter
 ventions
URL;VALUE=URI:https://events.vtools.ieee.org/m/350187
X-ALT-DESC:Description: <br /><p>This lecture will review recent advances i
 n the application of digital health technologies to the field of tele-reha
 bilitation. We will show how relying on digital health technologies and on
  machine learning algorithms\, researchers have developed approaches suita
 ble to derive accurate estimates of clinical scores via the analysis of da
 ta collected during the performance of functional movements. Examples prov
 ided during the lecture will include techniques to assess motor impairment
 s and functional limitations from sensor and video data. We will discuss h
 ow digital technologies can be used to collect data to generate feedback d
 uring the performance of rehabilitation exercises outside of the clinic. F
 inally\, we will discuss how these technologies can transform the way reha
 bilitation interventions are designed and implemented as they enable track
 ing individual responses to clinical interventions.</p>
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