2020-11-23 22:53:20 +01:00
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RAPIDS
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Fitbit Sleep Summary
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Setup
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File Structure
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Installation
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Execution
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Example Workflows
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Example Workflows
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Minimal
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Behavioral Features
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Behavioral Features
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Introduction
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Phone
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Phone
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2020-11-25 23:55:19 +01:00
< a href = "../phone-data-yield/" class = "md-nav__link" >
Phone Data Yield
2020-11-23 22:53:20 +01:00
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Phone Accelerometer
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Phone Activity Recognition
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Phone Applications Foreground
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Phone Battery
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Phone Bluetooth
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Phone Calls
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Phone Conversation
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Phone Light
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Phone Locations
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Phone Messages
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Phone Screen
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Phone WiFI Connected
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Phone WiFI Visible
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Fitbit
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Fitbit
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Fitbit Heart Rate Summary
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Fitbit Heart Rate Intraday
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Fitbit Sleep Summary
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Fitbit Sleep Summary
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Table of contents
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RAPIDS provider
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Fitbit Steps Summary
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Fitbit Steps Intraday
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Add New Features
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Developers
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RAPIDS provider
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< a href = "https://github.com/carissalow/rapids/edit/master/docs/features/fitbit-sleep-summary.md" title = "Edit this page" class = "md-content__button md-icon" >
< svg xmlns = "http://www.w3.org/2000/svg" viewBox = "0 0 24 24" > < path d = "M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25z" / > < / svg >
< / a >
< h1 id = "fitbit-sleep-summary" > Fitbit Sleep Summary< a class = "headerlink" href = "#fitbit-sleep-summary" title = "Permanent link" > ¶ < / a > < / h1 >
< p > Sensor parameters description for < code > [FITBIT_SLEEP_SUMMARY]< / code > :< / p >
< table >
< thead >
< tr >
< th > Key < / th >
< th > Description< / th >
< / tr >
< / thead >
< tbody >
< tr >
< td > < code > [TABLE]< / code > < / td >
< td > Database table name or file path where the sleep summary data is stored. Source data type and column format are defined in < a href = "../../setup/configuration/#device-data-source-configuration" > Device Data Source Configuration< / a > .< / td >
< / tr >
< / tbody >
< / table >
< p > Column format could be < code > JSON< / code > or < code > PLAIN_TEXT< / code > . Data with < code > JSON< / code > column format is obtained from Fitbit API directly. Summary data and intraday data come together in < code > JSON< / code > format. Each row doesn’ t have to contain the data for a single day as it depends on the way Fitbit API is queried. Examples of the source data with two formats are as follows. Data with < code > JSON< / code > format is chunked.< / p >
< details class = "example" > < summary > Example of the structure of source data with Fitbit’ < / summary > < div class = "tabbed-set" data-tabs = "1:2" > < input checked = "checked" id = "__tabbed_1_1" name = "__tabbed_1" type = "radio" / > < label for = "__tabbed_1_1" > JSON< / label > < div class = "tabbed-content" >
< table >
< thead >
< tr >
< th > device_id< / th >
< th > fitbit_data< / th >
< / tr >
< / thead >
< tbody >
< tr >
< td > a748ee1a-1d0b-4ae9-9074-279a2b6ba524< / td >
< td > {“ sleep” : [{“ awakeCount” : 2, “ awakeDuration” : 3, “ awakeningsCount” : 10, “ dateOfSleep” : “ 2020-10-07” , “ duration” : 8100000, “ efficiency” : 91, “ endTime” : “ 2020-10-07T18:10:00.000” , “ isMainSleep” : true, “ logId” : 14147921940, “ minuteData” : [{“ dateTime” : “ 15:55:00” , “ value” : “ 3” }, {“ dateTime” : “ 15:56:00” , “ value” : “ 3” }, {“ dateTime” : “ 15:57:00” , “ value” : “ 2” },… ], “ minutesAfterWakeup” : 0, “ minutesAsleep” : 123, “ minutesAwake” : 12, “ minutesToFallAsleep” : 0, “ restlessCount” : 8, “ restlessDuration” : 9, “ startTime” : “ 2020-10-07T15:55:00.000” , “ timeInBed” : 135}, {“ awakeCount” : 0, “ awakeDuration” : 0, “ awakeningsCount” : 1, “ dateOfSleep” : “ 2020-10-07” , “ duration” : 3780000, “ efficiency” : 100, “ endTime” : “ 2020-10-07T10:52:30.000” , “ isMainSleep” : false, “ logId” : 14144903977, “ minuteData” : [{“ dateTime” : “ 09:49:00” , “ value” : “ 1” }, {“ dateTime” : “ 09:50:00” , “ value” : “ 1” }, {“ dateTime” : “ 09:51:00” , “ value” : “ 1” },… ], “ minutesAfterWakeup” : 1, “ minutesAsleep” : 62, “ minutesAwake” : 0, “ minutesToFallAsleep” : 0, “ restlessCount” : 1, “ restlessDuration” : 1, “ startTime” : “ 2020-10-07T09:49:00.000” , “ timeInBed” : 63}], “ summary” : {“ totalMinutesAsleep” : 185, “ totalSleepRecords” : 2, “ totalTimeInBed” : 198}}< / td >
< / tr >
< tr >
< td > a748ee1a-1d0b-4ae9-9074-279a2b6ba524< / td >
< td > {“ sleep” : [{“ awakeCount” : 3, “ awakeDuration” : 21, “ awakeningsCount” : 16, “ dateOfSleep” : “ 2020-10-08” , “ duration” : 19260000, “ efficiency” : 89, “ endTime” : “ 2020-10-08T06:01:30.000” , “ isMainSleep” : true, “ logId” : 14150613895, “ minuteData” : [{“ dateTime” : “ 00:40:00” , “ value” : “ 3” }, {“ dateTime” : “ 00:41:00” , “ value” : “ 3” }, {“ dateTime” : “ 00:42:00” , “ value” : “ 3” },… ], “ minutesAfterWakeup” : 0, “ minutesAsleep” : 275, “ minutesAwake” : 33, “ minutesToFallAsleep” : 0, “ restlessCount” : 13, “ restlessDuration” : 25, “ startTime” : “ 2020-10-08T00:40:00.000” , “ timeInBed” : 321}], “ summary” : {“ totalMinutesAsleep” : 275, “ totalSleepRecords” : 1, “ totalTimeInBed” : 321}}< / td >
< / tr >
< tr >
< td > a748ee1a-1d0b-4ae9-9074-279a2b6ba524< / td >
< td > {“ sleep” : [{“ awakeCount” : 1, “ awakeDuration” : 3, “ awakeningsCount” : 8, “ dateOfSleep” : “ 2020-10-09” , “ duration” : 19320000, “ efficiency” : 96, “ endTime” : “ 2020-10-09T05:57:30.000” , “ isMainSleep” : true, “ logId” : 14161136803, “ minuteData” : [{“ dateTime” : “ 00:35:30” , “ value” : “ 2” }, {“ dateTime” : “ 00:36:30” , “ value” : “ 1” }, {“ dateTime” : “ 00:37:30” , “ value” : “ 1” },… ], “ minutesAfterWakeup” : 0, “ minutesAsleep” : 309, “ minutesAwake” : 13, “ minutesToFallAsleep” : 0, “ restlessCount” : 7, “ restlessDuration” : 10, “ startTime” : “ 2020-10-09T00:35:30.000” , “ timeInBed” : 322}], “ summary” : {“ totalMinutesAsleep” : 309, “ totalSleepRecords” : 1, “ totalTimeInBed” : 322}}< / td >
< / tr >
< / tbody >
< / table >
< / div >
< input id = "__tabbed_1_2" name = "__tabbed_1" type = "radio" / > < label for = "__tabbed_1_2" > PLAIN_TEXT< / label > < div class = "tabbed-content" >
< table >
< thead >
< tr >
< th > device_id< / th >
< th > local_start_date_time< / th >
< th > local_end_date_time< / th >
< th > efficiency< / th >
< th > minutes_after_wakeup< / th >
< th > minutes_asleep< / th >
< th > minutes_awake< / th >
< th > minutes_to_fall_asleep< / th >
< th > minutes_in_bed< / th >
< th > is_main_sleep< / th >
< th > type< / th >
< th > count_awake< / th >
< th > duration_awake< / th >
< th > count_awakenings< / th >
< th > count_restless< / th >
< th > duration_restless< / th >
< / tr >
< / thead >
< tbody >
< tr >
< td > a748ee1a-1d0b-4ae9-9074-279a2b6ba524< / td >
< td > 2020-10-07 15:55:00< / td >
< td > 2020-10-07 18:10:00< / td >
< td > 91< / td >
< td > 0< / td >
< td > 123< / td >
< td > 12< / td >
< td > 0< / td >
< td > 135< / td >
< td > 1< / td >
< td > classic< / td >
< td > 2< / td >
< td > 3< / td >
< td > 10< / td >
< td > 8< / td >
< td > 9< / td >
< / tr >
< tr >
< td > a748ee1a-1d0b-4ae9-9074-279a2b6ba524< / td >
< td > 2020-10-07 09:49:00< / td >
< td > 2020-10-07 10:52:30< / td >
< td > 100< / td >
< td > 1< / td >
< td > 62< / td >
< td > 0< / td >
< td > 0< / td >
< td > 63< / td >
< td > 0< / td >
< td > classic< / td >
< td > 0< / td >
< td > 0< / td >
< td > 1< / td >
< td > 1< / td >
< td > 1< / td >
< / tr >
< tr >
< td > a748ee1a-1d0b-4ae9-9074-279a2b6ba524< / td >
< td > 2020-10-08 00:40:00< / td >
< td > 2020-10-08 06:01:30< / td >
< td > 89< / td >
< td > 0< / td >
< td > 275< / td >
< td > 33< / td >
< td > 0< / td >
< td > 321< / td >
< td > 1< / td >
< td > classic< / td >
< td > 3< / td >
< td > 21< / td >
< td > 16< / td >
< td > 13< / td >
< td > 25< / td >
< / tr >
< tr >
< td > a748ee1a-1d0b-4ae9-9074-279a2b6ba524< / td >
< td > 2020-10-09 00:35:30< / td >
< td > 2020-10-09 05:57:30< / td >
< td > 96< / td >
< td > 0< / td >
< td > 309< / td >
< td > 13< / td >
< td > 0< / td >
< td > 322< / td >
< td > 1< / td >
< td > classic< / td >
< td > 1< / td >
< td > 3< / td >
< td > 8< / td >
< td > 7< / td >
< td > 10< / td >
< / tr >
< / tbody >
< / table >
< / div >
< / div >
< / details >
< details class = "example" > < summary > Example of the structure of source data with Fitbit’ < / summary > < div class = "tabbed-set" data-tabs = "2:2" > < input checked = "checked" id = "__tabbed_2_1" name = "__tabbed_2" type = "radio" / > < label for = "__tabbed_2_1" > JSON< / label > < div class = "tabbed-content" >
< table >
< thead >
< tr >
< th > device_id< / th >
< th > fitbit_data< / th >
< / tr >
< / thead >
< tbody >
< tr >
< td > a748ee1a-1d0b-4ae9-9074-279a2b6ba524< / td >
< td > {“ sleep” :[{“ dateOfSleep” :” 2020-10-10” ,” duration” :3600000,” efficiency” :92,” endTime” :” 2020-10-10T16:37:00.000” ,” infoCode” :2,” isMainSleep” :false,” levels” :{“ data” :[{“ dateTime” :” 2020-10-10T15:36:30.000” ,” level” :” restless” ,” seconds” :60},{“ dateTime” :” 2020-10-10T15:37:30.000” ,” level” :” asleep” ,” seconds” :660},{“ dateTime” :” 2020-10-10T15:48:30.000” ,” level” :” restless” ,” seconds” :60},… ], “ summary” :{“ asleep” :{“ count” :0,” minutes” :56},” awake” :{“ count” :0,” minutes” :0},” restless” :{“ count” :3,” minutes” :4}}},” logId” :26315914306,” minutesAfterWakeup” :0,” minutesAsleep” :55,” minutesAwake” :5,” minutesToFallAsleep” :0,” startTime” :” 2020-10-10T15:36:30.000” ,” timeInBed” :60,” type” :” classic” },{“ dateOfSleep” :” 2020-10-10” ,” duration” :22980000,” efficiency” :88,” endTime” :” 2020-10-10T08:10:00.000” ,” infoCode” :0,” isMainSleep” :true,” levels” :{“ data” :[{“ dateTime” :” 2020-10-10T01:46:30.000” ,” level” :” light” ,” seconds” :420},{“ dateTime” :” 2020-10-10T01:53:30.000” ,” level” :” deep” ,” seconds” :1230},{“ dateTime” :” 2020-10-10T02:14:00.000” ,” level” :” light” ,” seconds” :360},… ], “ summary” :{“ deep” :{“ count” :3,” minutes” :92,” thirtyDayAvgMinutes” :0},” light” :{“ count” :29,” minutes” :193,” thirtyDayAvgMinutes” :0},” rem” :{“ count” :4,” minutes” :33,” thirtyDayAvgMinutes” :0},” wake” :{“ count” :28,” minutes” :65,” thirtyDayAvgMinutes” :0}}},” logId” :26311786557,” minutesAfterWakeup” :0,” minutesAsleep” :318,” minutesAwake” :65,” minutesToFallAsleep” :0,” startTime” :” 2020-10-10T01:46:30.000” ,” timeInBed” :383,” type” :” stages” }],” summary” :{“ stages” :{“ deep” :92,” light” :193,” rem” :33,” wake” :65},” totalMinutesAsleep” :373,” totalSleepRecords” :2,” totalTimeInBed” :443}}< / td >
< / tr >
< tr >
< td > a748ee1a-1d0b-4ae9-9074-279a2b6ba524< / td >
< td > {“ sleep” :[{“ dateOfSleep” :” 2020-10-11” ,” duration” :41640000,” efficiency” :89,” endTime” :” 2020-10-11T11:47:00.000” ,” infoCode” :0,” isMainSleep” :true,” levels” :{“ data” :[{“ dateTime” :” 2020-10-11T00:12:30.000” ,” level” :” wake” ,” seconds” :450},{“ dateTime” :” 2020-10-11T00:20:00.000” ,” level” :” light” ,” seconds” :870},{“ dateTime” :” 2020-10-11T00:34:30.000” ,” level” :” wake” ,” seconds” :780},… ], “ summary” :{“ deep” :{“ count” :4,” minutes” :52,” thirtyDayAvgMinutes” :62},” light” :{“ count” :32,” minutes” :442,” thirtyDayAvgMinutes” :364},” rem” :{“ count” :6,” minutes” :68,” thirtyDayAvgMinutes” :58},” wake” :{“ count” :29,” minutes” :132,” thirtyDayAvgMinutes” :94}}},” logId” :26589710670,” minutesAfterWakeup” :1,” minutesAsleep” :562,” minutesAwake” :132,” minutesToFallAsleep” :0,” startTime” :” 2020-10-11T00:12:30.000” ,” timeInBed” :694,” type” :” stages” }],” summary” :{“ stages” :{“ deep” :52,” light” :442,” rem” :68,” wake” :132},” totalMinutesAsleep” :562,” totalSleepRecords” :1,” totalTimeInBed” :694}}< / td >
< / tr >
< tr >
< td > a748ee1a-1d0b-4ae9-9074-279a2b6ba524< / td >
< td > {“ sleep” :[{“ dateOfSleep” :” 2020-10-12” ,” duration” :28980000,” efficiency” :93,” endTime” :” 2020-10-12T09:34:30.000” ,” infoCode” :0,” isMainSleep” :true,” levels” :{“ data” :[{“ dateTime” :” 2020-10-12T01:31:00.000” ,” level” :” wake” ,” seconds” :600},{“ dateTime” :” 2020-10-12T01:41:00.000” ,” level” :” light” ,” seconds” :60},{“ dateTime” :” 2020-10-12T01:42:00.000” ,” level” :” deep” ,” seconds” :2340},… ], “ summary” :{“ deep” :{“ count” :4,” minutes” :63,” thirtyDayAvgMinutes” :59},” light” :{“ count” :27,” minutes” :257,” thirtyDayAvgMinutes” :364},” rem” :{“ count” :5,” minutes” :94,” thirtyDayAvgMinutes” :58},” wake” :{“ count” :24,” minutes” :69,” thirtyDayAvgMinutes” :95}}},” logId” :26589710673,” minutesAfterWakeup” :0,” minutesAsleep” :415,” minutesAwake” :68,” minutesToFallAsleep” :0,” startTime” :” 2020-10-12T01:31:00.000” ,” timeInBed” :483,” type” :” stages” }],” summary” :{“ stages” :{“ deep” :63,” light” :257,” rem” :94,” wake” :69},” totalMinutesAsleep” :415,” totalSleepRecords” :1,” totalTimeInBed” :483}}< / td >
< / tr >
< / tbody >
< / table >
< / div >
< input id = "__tabbed_2_2" name = "__tabbed_2" type = "radio" / > < label for = "__tabbed_2_2" > PLAIN_TEXT< / label > < div class = "tabbed-content" >
< table >
< thead >
< tr >
< th > device_id< / th >
< th > local_start_date_time< / th >
< th > local_end_date_time< / th >
< th > efficiency< / th >
< th > minutes_after_wakeup< / th >
< th > minutes_asleep< / th >
< th > minutes_awake< / th >
< th > minutes_to_fall_asleep< / th >
< th > minutes_in_bed< / th >
< th > is_main_sleep< / th >
< th > type< / th >
< / tr >
< / thead >
< tbody >
< tr >
< td > a748ee1a-1d0b-4ae9-9074-279a2b6ba524< / td >
< td > 2020-10-10 15:36:30< / td >
< td > 2020-10-10 16:37:00< / td >
< td > 92< / td >
< td > 0< / td >
< td > 55< / td >
< td > 5< / td >
< td > 0< / td >
< td > 60< / td >
< td > 0< / td >
< td > classic< / td >
< / tr >
< tr >
< td > a748ee1a-1d0b-4ae9-9074-279a2b6ba524< / td >
< td > 2020-10-10 01:46:30< / td >
< td > 2020-10-10 08:10:00< / td >
< td > 88< / td >
< td > 0< / td >
< td > 318< / td >
< td > 65< / td >
< td > 0< / td >
< td > 383< / td >
< td > 1< / td >
< td > stages< / td >
< / tr >
< tr >
< td > a748ee1a-1d0b-4ae9-9074-279a2b6ba524< / td >
< td > 2020-10-11 00:12:30< / td >
< td > 2020-10-11 11:47:00< / td >
< td > 89< / td >
< td > 1< / td >
< td > 562< / td >
< td > 132< / td >
< td > 0< / td >
< td > 694< / td >
< td > 1< / td >
< td > stages< / td >
< / tr >
< tr >
< td > a748ee1a-1d0b-4ae9-9074-279a2b6ba524< / td >
< td > 2020-10-12 01:31:00< / td >
< td > 2020-10-12 09:34:30< / td >
< td > 93< / td >
< td > 0< / td >
< td > 415< / td >
< td > 68< / td >
< td > 0< / td >
< td > 483< / td >
< td > 1< / td >
< td > stages< / td >
< / tr >
< / tbody >
< / table >
< / div >
< / div >
< / details >
< h2 id = "rapids-provider" > RAPIDS provider< a class = "headerlink" href = "#rapids-provider" title = "Permanent link" > ¶ < / a > < / h2 >
< div class = "admonition info" >
< p class = "admonition-title" > Available day segments< / p >
< ul >
< li > Only available for segments that span 1 or more complete days (e.g. Jan 1< sup > st< / sup > 00:00 to Jan 3< sup > rd< / sup > 23:59)< / li >
< / ul >
< / div >
< div class = "admonition info" >
< p class = "admonition-title" > File Sequence< / p >
< div class = "highlight" > < pre > < span > < / span > < code > - data/raw/< span class = "o" > {< / span > pid< span class = "o" > }< / span > /fitbit_sleep_summary_raw.csv
- data/raw/< span class = "o" > {< / span > pid< span class = "o" > }< / span > /fitbit_sleep_summary_parsed.csv
- data/raw/< span class = "o" > {< / span > pid< span class = "o" > }< / span > /fitbit_sleep_summary_parsed_with_datetime.csv
- data/interim/< span class = "o" > {< / span > pid< span class = "o" > }< / span > /fitbit_sleep_summary_features/fitbit_sleep_summary_< span class = "o" > {< / span > language< span class = "o" > }< / span > _< span class = "o" > {< / span > provider_key< span class = "o" > }< / span > .csv
- data/processed/features/< span class = "o" > {< / span > pid< span class = "o" > }< / span > /fitbit_sleep_summary.csv
< / code > < / pre > < / div >
< / div >
< p > Parameters description for < code > [FITBIT_SLEEP_SUMMARY][PROVIDERS][RAPIDS]< / code > :< / p >
< table >
< thead >
< tr >
< th > Key < / th >
< th > Description< / th >
< / tr >
< / thead >
< tbody >
< tr >
< td > < code > [COMPUTE]< / code > < / td >
< td > Set to < code > True< / code > to extract < code > FITBIT_SLEEP_SUMMARY< / code > features from the < code > RAPIDS< / code > provider< / td >
< / tr >
< tr >
< td > < code > [SLEEP_TYPES]< / code > < / td >
< td > Types of sleep to be included in the feature extraction computation. Fitbit provides 3 types of sleep: < code > main< / code > , < code > nap< / code > , < code > all< / code > .< / td >
< / tr >
< tr >
< td > < code > [FEATURES]< / code > < / td >
< td > Features to be computed from sleep summary data, see table below< / td >
< / tr >
< / tbody >
< / table >
< p > Features description for < code > [FITBIT_SLEEP_SUMMARY][PROVIDERS][RAPIDS]< / code > :< / p >
< table >
< thead >
< tr >
< th > Feature< / th >
< th > Units< / th >
< th > Description< / th >
< / tr >
< / thead >
< tbody >
< tr >
< td > countepisodeTYPE< / td >
< td > episodes< / td >
< td > Number of sleep episodes for a certain sleep type during a day segment.< / td >
< / tr >
< tr >
< td > avgefficiencyTYPE< / td >
< td > scores< / td >
< td > Average sleep efficiency for a certain sleep type during a day segment.< / td >
< / tr >
< tr >
< td > sumdurationafterwakeupTYPE< / td >
< td > minutes< / td >
< td > Total duration the user stayed in bed after waking up for a certain sleep type during a day segment.< / td >
< / tr >
< tr >
< td > sumdurationasleepTYPE< / td >
< td > minutes< / td >
< td > Total sleep duration for a certain sleep type during a day segment.< / td >
< / tr >
< tr >
< td > sumdurationawakeTYPE< / td >
< td > minutes< / td >
< td > Total duration the user stayed awake but still in bed for a certain sleep type during a day segment.< / td >
< / tr >
< tr >
< td > sumdurationtofallasleepTYPE< / td >
< td > minutes< / td >
< td > Total duration the user spent to fall asleep for a certain sleep type during a day segment.< / td >
< / tr >
< tr >
< td > sumdurationinbedTYPE< / td >
< td > minutes< / td >
< td > Total duration the user stayed in bed (sumdurationtofallasleep + sumdurationawake + sumdurationasleep + sumdurationafterwakeup) for a certain sleep type during a day segment.< / td >
< / tr >
< tr >
< td > avgdurationafterwakeupTYPE< / td >
< td > minutes< / td >
< td > Average duration the user stayed in bed after waking up for a certain sleep type during a day segment.< / td >
< / tr >
< tr >
< td > avgdurationasleepTYPE< / td >
< td > minutes< / td >
< td > Average sleep duration for a certain sleep type during a day segment.< / td >
< / tr >
< tr >
< td > avgdurationawakeTYPE< / td >
< td > minutes< / td >
< td > Average duration the user stayed awake but still in bed for a certain sleep type during a day segment.< / td >
< / tr >
< tr >
< td > avgdurationtofallasleepTYPE< / td >
< td > minutes< / td >
< td > Average duration the user spent to fall asleep for a certain sleep type during a day segment.< / td >
< / tr >
< tr >
< td > avgdurationinbedTYPE< / td >
< td > minutes< / td >
< td > Average duration the user stayed in bed (sumdurationtofallasleep + sumdurationawake + sumdurationasleep + sumdurationafterwakeup) for a certain sleep type during a day segment.< / td >
< / tr >
< / tbody >
< / table >
< div class = "admonition note" >
< p class = "admonition-title" > Assumptions/Observations< / p >
< ol >
< li >
< p > There are three sleep types (TYPE): < code > main< / code > , < code > nap< / code > , < code > all< / code > . The < code > all< / code > type contains both main sleep and naps.< / p >
< / li >
< li >
< p > There are two versions of Fitbit’ < a href = "https://dev.fitbit.com/build/reference/web-api/sleep-v1/" > version 1< / a > and < a href = "https://dev.fitbit.com/build/reference/web-api/sleep/" > version 1.2< / a > ), and each provides raw sleep data in a different format:< / p >
< ul >
< li > < em > Count & duration summaries< / em > . < code > v1< / code > contains < code > count_awake< / code > , < code > duration_awake< / code > , < code > count_awakenings< / code > , < code > count_restless< / code > , and < code > duration_restless< / code > fields for every sleep record but < code > v1.2< / code > does not.< / li >
< / ul >
< / li >
2020-11-24 00:29:12 +01:00
< li >
< p > < em > API columns< / em > . Features are computed based on the values provided by Fitbit’ < code > efficiency< / code > , < code > minutes_after_wakeup< / code > , < code > minutes_asleep< / code > , < code > minutes_awake< / code > , < code > minutes_to_fall_asleep< / code > , < code > minutes_in_bed< / code > , < code > is_main_sleep< / code > and < code > type< / code > .< / p >
< / li >
2020-11-23 22:53:20 +01:00
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