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WWBS Metrics

Roberto Orselli


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{
  "description": "<p>The dataset consists of recordings acquired from a sensorized WWBS smart-vest garment (developed by the project&#39;s partner SMARTEX), which the older adults wear during their daily routine.</p>\n\n<p>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.</p>\n\n<p>Each recording consists of a series of channels, and each recording channel is a pair of [Timestamp, Value] columns.</p>\n\n<p>The full list of recording channels is described below:</p>\n\n<p><strong>- Part_id</strong>: User ID, a 4-digit number, serving as the file name for each user&#39;s data</p>\n\n<p>- <strong>ECG</strong>: Electric signal measuring the ECG (value: 0.8 mV - sampling rate: 250Hz)</p>\n\n<p>- <strong>ECGquality</strong>: ECG signal quality (value: 0-255 where 0=poor and 255=excellent - sampling rate: 1/5 sec)</p>\n\n<p>- <strong>ECGHR</strong>: Heart rate (value: Beats/minute - sampling rate: 1/5 sec)</p>\n\n<p>- <strong>ECGRR</strong>: R-R intervals (value: number of samples between R-R peaks - sampling rate:1/5 sec)</p>\n\n<p>- <strong>ECGHRV</strong>: Heart rate variability (value: ms - sampling rate: 1/60 sec)</p>\n\n<p>- <strong>AccX-Y-Z</strong>: Accelerometer in X-Y-Z axes (value: 0.97 10-3 g - sampling rate: 25 Hz)</p>\n\n<p>- <strong>GyroX-Y-Z</strong>: Gyroscope in X-Y-Z axes (value: 0.122 &deg;/s - sampling rate: 25 Hz)</p>\n\n<p>- <strong>MagX-Y-Z</strong>: Magnetometer in X-Y-Z axes (value: 0.6 &micro;T - sampling rate: 25 Hz)</p>\n\n<p>- <strong>RespPiezo</strong>: Electric signal measuring the chest pressure on the piezoelectric point (value: 0.8 mV - sampling rate: 25 Hz)</p>\n\n<p>- <strong>RespQuality</strong>: Respiration signal quality (value: 0-255 where 0=poor and 255=excellent - sampling rate: 1/5 sec)</p>\n\n<p>- <strong>BR</strong>: Breathing rate (value: Breaths/minute - sampling rate: 1/5 sec)</p>\n\n<p>- <strong>BA</strong>: Breathing Amplitude (value: logic levels - sampling rate: 1/15 sec)</p>\n\n<p>- <strong>Activityenergy</strong>: estimation of energy activity (value: estimation where 0=no activity and 255=max of activity - sampling rate: 1/5 sec)</p>\n\n<p>- <strong>Activityclass</strong>: Activity performed (value: 0-4 where 0=other, 1=lying, 2=standing/sitting, 3=walking and 4=running - sampling rate: 1/5 sec)</p>\n\n<p>- <strong>Activity1Pace</strong>: Step period (value: ms- sampling rate: 1 Hz)</p>\n\n<p>- <strong>ActivityPace</strong>: Pace (value: steps/min - sampling rate: 1/5 sec)</p>\n\n<p>- <strong>Q0-Q1-Q2-Q3</strong>: Quaternions from main electronic device, i.e. Q0, Q1, Q2, Q3 components (value: Q14 format - sampling rate: 25 Hz)</p>\n\n<p>- <strong>QEL0-QEL1-QEL2-QEL3</strong>: Quaternions from external left arm device, i.e. Q0, Q1, Q2, Q3 components (value: Q14 format - sampling rate: 25 Hz)</p>\n\n<p>- <strong>QER0-QER1-QER2-QER3</strong>: Quaternions from external right arm device, i.e. Q0, Q1, Q2, Q3 components (value: Q14 format - sampling rate: 25 Hz)</p>", 
  "license": "http://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "SMARTEX", 
      "@type": "Person", 
      "name": "Roberto Orselli"
    }
  ], 
  "url": "https://zenodo.org/record/2671608", 
  "datePublished": "2019-05-07", 
  "contributor": [
    {
      "affiliation": "University of Patras", 
      "@type": "Person", 
      "name": "John Ellul"
    }, 
    {
      "affiliation": "Materia Groupd Cyprus", 
      "@type": "Person", 
      "name": "Marina Polycarpou"
    }, 
    {
      "affiliation": "INSERM France", 
      "@type": "Person", 
      "name": "Marina Kotsani"
    }, 
    {
      "affiliation": "University of Patras", 
      "@type": "Person", 
      "name": "Evangelia I. Zacharaki"
    }
  ], 
  "keywords": [
    "sensorized garment", 
    "WWBS metrics", 
    "smart vest recordings", 
    "ECG electrode monitoring", 
    "respiration monitoring via piezoresistive sensor", 
    "movement and posture monitoring"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/d14f2c20-c839-4a35-aa2f-29c7898e6ade/WWBS Metrics Datasets.rar", 
      "@type": "DataDownload", 
      "fileFormat": "rar"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.2671608", 
  "@id": "https://doi.org/10.5281/zenodo.2671608", 
  "@type": "Dataset", 
  "name": "WWBS Metrics"
}
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