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Sleep Analysis
The sleep detection method uses a zero crossing algorithm that breaks the data down into one minute windows as described in the publication by Sadeh A, Sharkey K, et. al. The algorithm then employs a sleep onset heuristic as reported by Cole R, Kripke D, et. al. The data is displayed and the software reports the following sleep related metrics:
- Sleep onset
- Percentage of wake
- Sleep end
- Wake after sleep onset (WASO)
- Total sleep period length
- Sleep bouts
- Sleep time
- Wake bouts
- Percentage of sleep
- Mean sleep bout
- Wake time
- Mean wake bout
Activity Analysis
The activity analysis is intended to analyze data that was collected from the subject throughout the day. It reports on the general level of activity that was evident in the accelerometry data and breaks it into low, medium and high activity levels. The report provides the following metrics:
- Total low activity time
- Waking low activity time
- Total high activity time
- Total low activity %
- Waking low activity %
- Total high activity %
- Total medium activity time
- Waking medium activity time
- Waking high activity time
- Total medium activity %
- Waking medium activity %
- Waking high activity %
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