challenges-in-detecting-physiological-changes-using-wearable-sensor-data-scipy-2019-e-preble.json

{
  "copyright_text": null,
  "description": "Numerous challenges exist when trying to detect changes in a person\u2019s health status using data from wearable sensors. A core issue is that wearable sensor data varies tremendously between individuals and over time due to a person\u2019s daily activities. \u201cReasonably comparable\u201d time periods must be identified based on activity levels and other variables, which can then be analyzed to determine if a change in health status has occurred. SciPy, NumPy, Pandas, and Matplotlib were used to process the massive number of variable combinations in our data and to output visualizations that highlight useful patterns in the data.",
  "duration": 1752,
  "language": "eng",
  "recorded": "2019-07-13",
  "related_urls": [
    {
      "label": "Conference schedule",
      "url": "https://www.scipy2019.scipy.org/confschedule"
    }
  ],
  "speakers": [
    "Edward Preble"
  ],
  "tags": [],
  "thumbnail_url": "https://i.ytimg.com/vi/EzaJEm4G03w/maxresdefault.jpg",
  "title": "Challenges in Detecting Physiological Changes Using Wearable Sensor Data",
  "videos": [
    {
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=EzaJEm4G03w"
    }
  ]
}