<clinical_study>
  <!-- This xml conforms to an XML Schema at:
    https://clinicaltrials.gov/ct2/html/images/info/public.xsd -->
  <required_header>
    <download_date>ClinicalTrials.gov processed this data on September 20, 2023</download_date>
    <link_text>Link to the current ClinicalTrials.gov record.</link_text>
    <url>https://clinicaltrials.gov/ct2/show/NCT01687023</url>
  </required_header>
  <id_info>
    <org_study_id>2011-P-001597</org_study_id>
    <nct_id>NCT01687023</nct_id>
  </id_info>
  <brief_title>A Wearable System to Monitor Tai Chi Practice</brief_title>
  <official_title>A Wearable System to Monitor Tai Chi Practice</official_title>
  <sponsors>
    <lead_sponsor>
      <agency>Spaulding Rehabilitation Hospital</agency>
      <agency_class>Other</agency_class>
    </lead_sponsor>
    <collaborator>
      <agency>National Institutes of Health (NIH)</agency>
      <agency_class>NIH</agency_class>
    </collaborator>
  </sponsors>
  <source>Spaulding Rehabilitation Hospital</source>
  <oversight_info>
    <has_dmc>No</has_dmc>
  </oversight_info>
  <brief_summary>
    <textblock>
      The goal of this research study is to show that features derived from data gathered using&#xD;
      SHIMMER wearable sensor platform can capture adherence and proficiency in the performance of&#xD;
      exercises that are part of Tai Chi interventions.&#xD;
    </textblock>
  </brief_summary>
  <overall_status>Completed</overall_status>
  <start_date>July 2011</start_date>
  <completion_date type="Actual">May 2016</completion_date>
  <primary_completion_date type="Actual">May 2016</primary_completion_date>
  <study_type>Observational</study_type>
  <has_expanded_access>No</has_expanded_access>
  <study_design_info>
    <observational_model>Cohort</observational_model>
    <time_perspective>Cross-Sectional</time_perspective>
  </study_design_info>
  <primary_outcome>
    <measure>Biomarkers of adherence and proficiency</measure>
    <time_frame>1 day</time_frame>
    <description>Data gathered using SHIMMER devices will be segmented to derive signal features. These features will be then used to feed a pattern recognition algorithm the output of which indicates whether a specific Tai Chi movement of interest has been performed.</description>
  </primary_outcome>
  <number_of_groups>1</number_of_groups>
  <enrollment type="Actual">24</enrollment>
  <condition>Healthy</condition>
  <arm_group>
    <arm_group_label>Tai Chi</arm_group_label>
    <description>Healthy Tai Chi practitioners</description>
  </arm_group>
  <eligibility>
    <study_pop>
      <textblock>
        Healthy Tai Chi practitioners in a wide range of proficiency&#xD;
      </textblock>
    </study_pop>
    <sampling_method>Probability Sample</sampling_method>
    <criteria>
      <textblock>
        Inclusion Criteria:&#xD;
&#xD;
          -  Young style Tai Chi practitioners&#xD;
&#xD;
        Exclusion Criteria:&#xD;
&#xD;
          -  Any movement impairment that will impede Tai Chi movements performance&#xD;
      </textblock>
    </criteria>
    <gender>All</gender>
    <minimum_age>18 Years</minimum_age>
    <maximum_age>N/A</maximum_age>
    <healthy_volunteers>Accepts Healthy Volunteers</healthy_volunteers>
  </eligibility>
  <location>
    <facility>
      <name>Spaulding Rehabilitation Hospital Boston</name>
      <address>
        <city>Boston</city>
        <state>Massachusetts</state>
        <zip>02129</zip>
        <country>United States</country>
      </address>
    </facility>
  </location>
  <location_countries>
    <country>United States</country>
  </location_countries>
  <verification_date>October 2018</verification_date>
  <study_first_submitted>September 13, 2012</study_first_submitted>
  <study_first_submitted_qc>September 13, 2012</study_first_submitted_qc>
  <study_first_posted type="Estimate">September 18, 2012</study_first_posted>
  <last_update_submitted>October 17, 2018</last_update_submitted>
  <last_update_submitted_qc>October 17, 2018</last_update_submitted_qc>
  <last_update_posted type="Actual">October 18, 2018</last_update_posted>
  <responsible_party>
    <responsible_party_type>Principal Investigator</responsible_party_type>
    <investigator_affiliation>Spaulding Rehabilitation Hospital</investigator_affiliation>
    <investigator_full_name>Paolo Bonato</investigator_full_name>
    <investigator_title>Director, Motion Analysis Laboratory</investigator_title>
  </responsible_party>
  <keyword>Tai Chi</keyword>
  <keyword>Wearable sensors</keyword>
  <keyword>Movement</keyword>
  <!-- Results have not yet been posted for this study                                          -->
</clinical_study>


download date: ClinicalTrials.gov processed this data on September 20, 2023
link text: Link to the current ClinicalTrials.gov record.
url: https://clinicaltrials.gov/ct2/show/NCT01687023
org study id: 2011-P-001597
nct id: NCT01687023
lead sponsor: 
collaborator: 
has dmc: No
The goal of this research study is to show that features derived from data gathered using
      SHIMMER wearable sensor platform can capture adherence and proficiency in the performance of
      exercises that are part of Tai Chi interventions.
observational model: Cohort
time perspective: Cross-Sectional
measure: Biomarkers of adherence and proficiency
time frame: 1 day
description: Data gathered using SHIMMER devices will be segmented to derive signal features. These features will be then used to feed a pattern recognition algorithm the output of which indicates whether a specific Tai Chi movement of interest has been performed.
arm group label: Tai Chi
description: Healthy Tai Chi practitioners
study pop: 
sampling method: Probability Sample
criteria: 
gender: All
minimum age: 18 Years
maximum age: N/A
healthy volunteers: Accepts Healthy Volunteers
facility: 
country: United States
responsible party type: Principal Investigator
investigator affiliation: Spaulding Rehabilitation Hospital
investigator full name: Paolo Bonato
investigator title: Director, Motion Analysis Laboratory