Dataset Open Access

WWBS Metrics

Roberto Orselli


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  <identifier identifierType="DOI">10.5281/zenodo.2671608</identifier>
  <creators>
    <creator>
      <creatorName>Roberto Orselli</creatorName>
      <affiliation>SMARTEX</affiliation>
    </creator>
  </creators>
  <titles>
    <title>WWBS Metrics</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>sensorized garment</subject>
    <subject>WWBS metrics</subject>
    <subject>smart vest recordings</subject>
    <subject>ECG electrode monitoring</subject>
    <subject>respiration monitoring via piezoresistive sensor</subject>
    <subject>movement and posture monitoring</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-05-07</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2671608</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.2671607</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The dataset consists of recordings acquired from a sensorized WWBS smart-vest garment (developed by the project&amp;#39;s partner SMARTEX), which the older adults wear during their daily routine.&lt;/p&gt;

&lt;p&gt;The garment is equipped with electrodes for ECG monitoring, a piezoresistive sensor for respiration monitoring, and Inertial Measurement Units (IMUs) for movement and posture monitoring.&lt;/p&gt;

&lt;p&gt;Each recording consists of a series of channels, and each recording channel is a pair of [Timestamp, Value] columns.&lt;/p&gt;

&lt;p&gt;The full list of recording channels is described below:&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;- Part_id&lt;/strong&gt;: User ID, a 4-digit number, serving as the file name for each user&amp;#39;s data&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;ECG&lt;/strong&gt;: Electric signal measuring the ECG (value: 0.8 mV - sampling rate: 250Hz)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;ECGquality&lt;/strong&gt;: ECG signal quality (value: 0-255 where 0=poor and 255=excellent - sampling rate: 1/5 sec)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;ECGHR&lt;/strong&gt;: Heart rate (value: Beats/minute - sampling rate: 1/5 sec)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;ECGRR&lt;/strong&gt;: R-R intervals (value: number of samples between R-R peaks - sampling rate:1/5 sec)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;ECGHRV&lt;/strong&gt;: Heart rate variability (value: ms - sampling rate: 1/60 sec)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;AccX-Y-Z&lt;/strong&gt;: Accelerometer in X-Y-Z axes (value: 0.97 10-3 g - sampling rate: 25 Hz)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;GyroX-Y-Z&lt;/strong&gt;: Gyroscope in X-Y-Z axes (value: 0.122 &amp;deg;/s - sampling rate: 25 Hz)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;MagX-Y-Z&lt;/strong&gt;: Magnetometer in X-Y-Z axes (value: 0.6 &amp;micro;T - sampling rate: 25 Hz)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;RespPiezo&lt;/strong&gt;: Electric signal measuring the chest pressure on the piezoelectric point (value: 0.8 mV - sampling rate: 25 Hz)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;RespQuality&lt;/strong&gt;: Respiration signal quality (value: 0-255 where 0=poor and 255=excellent - sampling rate: 1/5 sec)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;BR&lt;/strong&gt;: Breathing rate (value: Breaths/minute - sampling rate: 1/5 sec)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;BA&lt;/strong&gt;: Breathing Amplitude (value: logic levels - sampling rate: 1/15 sec)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Activityenergy&lt;/strong&gt;: estimation of energy activity (value: estimation where 0=no activity and 255=max of activity - sampling rate: 1/5 sec)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Activityclass&lt;/strong&gt;: Activity performed (value: 0-4 where 0=other, 1=lying, 2=standing/sitting, 3=walking and 4=running - sampling rate: 1/5 sec)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Activity1Pace&lt;/strong&gt;: Step period (value: ms- sampling rate: 1 Hz)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;ActivityPace&lt;/strong&gt;: Pace (value: steps/min - sampling rate: 1/5 sec)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;Q0-Q1-Q2-Q3&lt;/strong&gt;: Quaternions from main electronic device, i.e. Q0, Q1, Q2, Q3 components (value: Q14 format - sampling rate: 25 Hz)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;QEL0-QEL1-QEL2-QEL3&lt;/strong&gt;: Quaternions from external left arm device, i.e. Q0, Q1, Q2, Q3 components (value: Q14 format - sampling rate: 25 Hz)&lt;/p&gt;

&lt;p&gt;- &lt;strong&gt;QER0-QER1-QER2-QER3&lt;/strong&gt;: Quaternions from external right arm device, i.e. Q0, Q1, Q2, Q3 components (value: Q14 format - sampling rate: 25 Hz)&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/690140/">690140</awardNumber>
      <awardTitle>Sensing and predictive treatment of frailty and associated co-morbidities using advanced personalized patient models and advanced interventions</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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