Summaries

Summaries: calculated data using the raw metrics. Summaries are daily calculation of the bracelet data. For example the StepsSummary contains the total steps/calories during the day.

StepsSummaryModel

Data structure

open class StepsSummaryModel : RealmObject() {

    @PrimaryKey
    var serverDate: String = ""
    var uuid: String = ""
    var stepsSlots: RealmList<StepsSlotModel> = RealmList()
    var stepCount: Long = 0
    var stepDistance: Float = 0.0f
    var stepCalories: Long = 0
    var goalStepPercentage: Long = 0
    var moveEveryHour: Long = 0
    var workoutsCount: Long = 0
    var startTimestamp: Long = 0
    var endTimestamp: Long = 0
}

serverDate: Local date with format "yyyy-MM-dd"
uuid: depracated
stepsSlots: see below, interval of the slots set with the slotIntervalSecs
stepCount: total steps during the day
stepDistance: estimated distance in meters with a user's height of 175cm
stepCalories: total calories during the day in kcal
goalStepPercentage: ratio between step count / 10 000 steps. If total steps is 3000 then goalStepPercentage = 30
moveEveryHour: deprecated
workoutsCount: deprecated
startTimestamp: start time in UTC format (midnight)
endTimestamp: end time in UTC format (either the time of today or 23:59 if the day is finished)

Example

"StepsSummaryModel": [
    {
      "serverDate": "2022-01-11",
      "uuid": "",
      "stepsSlots": [
        {
          "timestamp": 1641855600000,
          "date": "00:00",
          "stepCount": 0,
          "energyExp": 0,
          "speed": 0,
          "activityType": 0
        },
        ...
        ,
        {
          "timestamp": 1641941940000,
          "date": "23:59",
          "stepCount": 0,
          "energyExp": 179,
          "speed": 1.3,
          "activityType": 7
        }
      ],
      "stepCount": 1026,
      "stepDistance": 794.3086547851562,
      "stepCalories": 526,
      "goalStepPercentage": 10,
      "moveEveryHour": 0,
      "workoutsCount": 0,
      "startTimestamp": 1641855600000,
      "endTimestamp": 1641942000000
    }

StepsSlotModel

Data structure

open class StepsSlotModel : RealmObject() {

    @PrimaryKey
    var timestamp: Long = 0
    var date: String = ""
    var stepCount: Long = 0
    var energyExp: Long = 0
    var speed: Double? = null
    var activityType: Long? = null

}

timestamp: time in UTC format
date: Local date with format "HH:mm"
stepCount: total steps since the last slot
energyExp: total calories since the last slot in cal (Active calories + rest calories)
speed: average speed since the last slot in m/s
activityType: UNSPECIFIED = 0, OTHER = 1, WALK = 2, RUN = 4, CYCLE = 6, REST = 7

Example

Interval between slots of 60 seconds for this example

{
      "timestamp": 1641922620000,
      "date": "18:37",
      "stepCount": 5,
      "energyExp": 514,
      "speed": 0.9333333333333335,
      "activityType": 1
    },
    {
      "timestamp": 1641922680000,
      "date": "18:38",
      "stepCount": 7,
      "energyExp": 273,
      "speed": 0.8400000000000001,
      "activityType": 1
    },
    {
      "timestamp": 1641922740000,
      "date": "18:39",
      "stepCount": 6,
      "energyExp": 593,
      "speed": 1.04,
      "activityType": 7
    },
    {
      "timestamp": 1641922800000,
      "date": "18:40",
      "stepCount": 0,
      "energyExp": 258,
      "speed": 0.65,
      "activityType": 1
    },`

Respiration

Respiration rate values come when the user is resting: either sleeping or not moving much, otherwise the value = null

RespirationSummaryModel

open class RespirationSummaryModel : RealmObject() {
    @PrimaryKey
    var serverDate: String = ""
    var uuid: String = ""
    var average: Float = 0f
    var slots: RealmList<RespirationSlotModel> = RealmList()
    var startTimestamp: Long = 0L
    var endTimestamp: Long = 0L
}

serverDate: Local date with format "yyyy-MM-dd"
uuid: deprecated
average: average respiration rate during the day
slots: see below, interval of the slots set with the slotIntervalSecs
startTimestamp: start time in UTC format (midnight)
endTimestamp: end time in UTC format (either the time of today or 23:59 if the day is finished)

{
   "serverDate":"2023-09-22",
   "uuid":"",
   "average":12.346443176269531,
   "slots":[
    {
   "timestamp":1695333600000,
   "date":"00:00",
   "rate":12.300000190734863,
   "quality":3.799999952316284
},
{
   "timestamp":1695333660000,
   "date":"00:01",
   "rate":12.5,
   "quality":4
},
...

   ],
   "startTimestamp":1695333600000,
   "endTimestamp":1695420000000
}

RespirationSlotModel

open class RespirationSlotModel : RealmObject() {

    @PrimaryKey
    var timestamp: Long = 0
    var date: String = ""
    var rate: Float = 0.0f
    var quality: Float = 0.0f
}

timestamp: time in UTC format
date: Local date with format "HH:mm"
rate: average respiration rate since the last slot
quality: Quality average of the raw respiration rate since the last slot. 4 means very good quality respiration rate, while 0 means bad quality

Example

Interval between slots of 60 seconds for this example

{
   "timestamp":1695333600000,
   "date":"00:00",
   "rate":12.300000190734863,
   "quality":3.799999952316284
},
{
   "timestamp":1695333660000,
   "date":"00:01",
   "rate":12.5,
   "quality":4
},
{
   "timestamp":1695333720000,
   "date":"00:02",
   "rate":12.25,
   "quality":4
},
{
   "timestamp":1695333780000,
   "date":"00:03",
   "rate":12,
   "quality":4
}

Sleep

SleepSummaryModel

Data structure

open class SleepSummaryModel : RealmObject() {

    @PrimaryKey
    var serverDate: String = ""
    var uuid: String = ""
    var sleepDuration: Long = 0
    var sleepSlots: RealmList<SleepSlotModel> = RealmList()
    var goalSleepPercentage: Long = 0
    var sleepNeedDuration: Long = 0
    var awakeTime: Long = 0
    var remTime: Long = 0
    var lightTime: Long = 0
    var deepTime: Long = 0
    var performance: Long = 0
    var tranquility: Long = 0
    var consistency: Long = 0
    var date: Date = Date()
}

serverDate: Local date with format "yyyy-MM-dd"
uuid: depracated
sleepDuration: duration in seconds of the sleep period, awake periods are not counted
slots: see below, interval of the slots set to 1 minute
goalSleepPercentage: ratio between sleep duration / 7h of sleep. If the sleep is 7h then goalSleepPercentage = 100
sleepNeedDuration: depracated
awakeTime: duration in seconds of awake periods during the night
remTime: duration in seconds of REM sleep periods during the night
lightTime: duration in seconds of light sleep periods during the night
deepTime: duration in seconds of deep sleep periods during the night
performance: depracated
tranquility: depracated
consistency: depracated
date: date of sleep process in local time
startTimestamp: to get the start timestamp of the sleep, use the first slot's timestamp (in UTC format)
endTimestamp: to get the end timestamp of the sleep, use the first slot's timestamp (in UTC format)

Example

{
      "serverDate": "2022-01-30",
      "uuid": "",
      "sleepDuration": 35880,
      "sleepSlots": [
        {
          "timestamp": 1643493420000,
          "startDate": "2022-01-29T22:57:00",
          "endDate": "2022-01-29T22:57:59",
          "sleepState": 2
        },
        {
          "timestamp": 1643493480000,
          "startDate": "2022-01-29T22:58:00",
          "endDate": "2022-01-29T22:58:59",
          "sleepState": 2
        },
        {
          "timestamp": 1643493540000,
          "startDate": "2022-01-29T22:59:00",
          "endDate": "2022-01-29T22:59:59",
          "sleepState": 2
        },
        ...
        ,
        {
          "timestamp": 1643529120000,
          "startDate": "2022-01-30T08:52:00",
          "endDate": "2022-01-30T08:52:59",
          "sleepState": 2
        },
        {
          "timestamp": 1643529180000,
          "startDate": "2022-01-30T08:53:00",
          "endDate": "2022-01-30T08:53:59",
          "sleepState": 2
        },
        {
          "timestamp": 1643529240000,
          "startDate": "2022-01-30T08:54:00",
          "endDate": "2022-01-30T08:54:59",
          "sleepState": 2
        }
      ],
      "goalSleepPercentage": 142,
      "sleepNeedDuration": 25200,
      "awakeTime": 1680,
      "remTime": 4020,
      "lightTime": 24240,
      "deepTime": 5940,
      "performance": 136,
      "tranquility": 5,
      "consistency": 0,
      "date": "2022-01-29T23:00:00.000Z"
}

SleepSlotModel

Data structure

open class SleepSlotModel : RealmObject() {

    @PrimaryKey
    var timestamp: Long = 0
    var startDate: String = ""
    var endDate: String = ""
    var sleepState: Long = 0

}

timestamp: UTC time of the slot
startDate: start time local date "yyyy-MM-dd'T'HH:mm:ss"
endDate: end time local date "yyyy-MM-dd'T'HH:mm:ss", 59 seconds after startDate
sleep state: NONE(0),AWAKE(1),REM(4),LIGHT(2),DEEP(3)

        {
          "timestamp": 1643493420000,
          "startDate": "2022-01-29T22:57:00",
          "endDate": "2022-01-29T22:57:59",
          "sleepState": 2
        },
        {
          "timestamp": 1643493480000,
          "startDate": "2022-01-29T22:58:00",
          "endDate": "2022-01-29T22:58:59",
          "sleepState": 2
        },
        {
          "timestamp": 1643493540000,
          "startDate": "2022-01-29T22:59:00",
          "endDate": "2022-01-29T22:59:59",
          "sleepState": 2
        }

Temperature

TemperatureSummaryModel

Data structure

open class TemperatureSummaryModel : RealmObject() {
    @PrimaryKey
    var serverDate: String = ""
    var uuid: String = ""
    var average1: Float = 0f
    var average2: Float = 0f
    var slots: RealmList<TemperatureSlotModel> = RealmList()
    var startTimestamp: Long = 0L
    var endTimestamp: Long = 0L
  }

serverDate: Local date with format "yyyy-MM-dd"
uuid: depracated
slots: see below, interval of the slots set with the slotIntervalSecs
average1: B2 bracelets core body temperature average during the day, ignore for B1
average2: B1 braceletsy skin temperature average during the day, ignore for B2
startTimestamp: start time in UTC format (midnight)
endTimestamp: end time in UTC format (either the time of today or 23:59 if the day is finished)

Example

{
      "serverDate": "2022-01-12",
      "uuid": "",
      "average1": 37.700355529785156,
      "average2": 34.806026458740234,
      "slots": [
        {
          "timestamp": 1641942000000,
          "date": "00:00",
          "temp1": 38.029998779296875,
          "temp2": 35.939998626708984
        },
        {
          "timestamp": 1641942060000,
          "date": "00:01",
          "temp1": 38.04999923706055,
          "temp2": 28.715999603271484
        },
        {
          "timestamp": 1641942120000,
          "date": "00:02",
          "temp1": 38.06999969482422,
          "temp2": 35.80999755859375
        },
        ...

      ],
      "startTimestamp": 1641942000000,
      "endTimestamp": 1642028400000
    }

TemperatureSlotModel

Data structure

timestamp: time in UTC format
date: Local date with format "HH:mm"
temp1: B2 average core body temperature since the last slot
temp2: B1 average skin temperature since the last slot

Spo2

SpO2SummaryModel

Data structure:

open class SpO2SummaryModel : RealmObject() {

    @PrimaryKey
    var serverDate: String = ""
    var uuid: String = ""
    var average: Long = 0
    var slots: RealmList<Spo2SlotModel> = RealmList()
    var startTimestamp: Long = 0
    var endTimestamp: Long = 0
}

serverDate: Local date with format "yyyy-MM-dd"
uuid: depracated
average: Sp02 average during the day
slots: see below, interval of the slots set with the slotIntervalSecs
startTimestamp: start time in UTC format (midnight)
endTimestamp: end time in UTC format (either the time of today or 23:59 if the day is finished)

Example:

"SpO2SummaryModel": [
    {
      "serverDate": "2022-01-11",
      "uuid": "",
      "average": 100,
      "slots": [
        {
        ...
        {
          "timestamp": 1641938340000,
          "date": "22:59",
          "value": 100,
          "quality": 1
        },
        {
          "timestamp": 1641938400000,
          "date": "23:00",
          "value": null,
          "quality": null
        },
        {
          "timestamp": 1641938460000,
          "date": "23:01",
          "value": 100,
          "quality": 3
        },
        ...
      ],
      "startTimestamp": 1641855600000,
      "endTimestamp": 1641942000000

Spo2SlotModel

open class Spo2SlotModel : RealmObject() {

    @PrimaryKey
    var timestamp: Long = 0
    var date: String = ""
    var value: Long? = null
    var quality: Long? = null

}

timestamp: time in UTC format
date: Local date with format "HH:mm"
value: average Sp02 since the last slot
quality: Quality average of the values since the last slot. 4 means very good quality, while 0 means bad quality

Example

{
          "timestamp": 1641941040000,
          "date": "23:44",
          "value": null,
          "quality": null
        },
        {
          "timestamp": 1641941100000,
          "date": "23:45",
          "value": 92,
          "quality": 1
        },
        {
          "timestamp": 1641941160000,
          "date": "23:46",
          "value": 96,
          "quality": 3
        },
        {
          "timestamp": 1641941220000,
          "date": "23:47",
          "value": 100,
          "quality": 3
        },

Heart rate

HeartRateSummaryModel

Data structure

open class HeartRateSummaryModel : RealmObject() {

    @PrimaryKey
    var serverDate: String = ""
    var uuid: String = ""
    var heartRateSlots: RealmList<HeartRateSlotModel> = RealmList()
    var avgDailyHeartRate: Long = 0
    var maxDailyHeartRate: Long = 0
    var restDailyHeartRate: Long = 0
    var allActiveTime: Long = 0
    var maxHeartRateTime: Long = 0
    var performanceHeartRateTime: Long = 0
    var enduranceHeartRateTime: Long = 0
    var fatBurnHeartRateTime: Long = 0
    var warmUpHeartRateTime: Long = 0
    var restHeartRateTime: Long = 0
    var dailyPercent: Long? = null
    var startTimestamp: Long = 0
    var endTimestamp: Long = 0

}

Heart rate zones are calculated using this formula (with a default age of 40 years old)

internal class HeartRateZones(val age: Int) {  
    val maxValue = 220f  
  val restZone = (maxValue - age) * 0.5f  
  val warmUpZone = (maxValue - age) * 0.6f  
  var fatBurnZone = (maxValue - age) * 0.7f  
  var enduranceZone = (maxValue - age) * 0.8f  
  var performanceZone = (maxValue - age) * 0.9f  
}

serverDate: Local date with format "yyyy-MM-dd"
uuid: depracated
heartRateSlots: see below, interval of the slots set with the slotIntervalSecs
avgDailyHeartRate: average heart rate during the day
maxDailyHeartRate: maximum heart rate during the day
restDailyHeartRate: minimum heart rate during the day
allActiveTime: deprecated
maxHeartRateTime: Long = 0
performanceHeartRateTime: average resting heart rate during the day
fatBurnHeartRateTime: average resting heart rate during the day
warmUpHeartRateTime: average resting heart rate during the day
restHeartRateTime: average resting heart rate during the day
dailyPercent: deprecated
startTimestamp: start time in UTC format (midnight)
endTimestamp: end time in UTC format (either the time of today or 23:59 if the day is finished)

Example

"HeartRateSummaryModel": [
    {
      "serverDate": "2022-01-11",
      "uuid": "",
      "heartRateSlots": [
      ...
      ,{
          "timestamp": 1641941940000,
          "date": "23:59",
          "bpm": 71,
          "bpm_q": 4
        }
      ],
      "avgDailyHeartRate": 81,
      "maxDailyHeartRate": 132,
      "restDailyHeartRate": 60,
      "allActiveTime": 306,
      "maxHeartRateTime": 0,
      "performanceHeartRateTime": 0,
      "enduranceHeartRateTime": 4,
      "fatBurnHeartRateTime": 15,
      "warmUpHeartRateTime": 48,
      "restHeartRateTime": 238,
      "dailyPercent": null,
      "startTimestamp": 1641855600000,
      "endTimestamp": 1641942000000
    },

HeartRateSlotModel

Data structure:

open class HeartRateSlotModel : RealmObject() {

    @PrimaryKey
    var timestamp: Long = 0
    var date: String = ""
    var bpm: Long? = null
    var bpm_q: Long? = null
}

timestamp: time in UTC format
date: Local date with format "HH:mm"
bpm: average bpm since the last slot
quality: Quality average of the values since the last slot. 4 means very good quality, while 0 means bad quality

"HeartRateSlotModel": [
    {
      "timestamp": 1641942000000,
      "date": "00:00",
      "bpm": 70,
      "bpm_q": 4
    },
    {
      "timestamp": 1641942060000,
      "date": "00:01",
      "bpm": 70,
      "bpm_q": 4
    },
    {
      "timestamp": 1641942120000,
      "date": "00:02",
      "bpm": 68,
      "bpm_q": 4
    },
    {
      "timestamp": 1641942180000,
      "date": "00:03",
      "bpm": 67,
      "bpm_q": 4
    }

Stress (EmoGraphy)

EmographySummaryModel (B2 only)

Data structure

open class EmographySummaryModel : RealmObject() {

    @PrimaryKey
    var serverDate: String = ""
    var uuid: String = ""
    var slots: RealmList<EmographySlotModel> = RealmList()
    var stressLevelSkinConductanceAvg: Int = 0
    var startTimestamp: Long = 0L
    var endTimestamp: Long = 0L

}

serverDate: Local date with format "yyyy-MM-dd"
uuid: depracated
average: Sp02 average during the day
slots: see below, interval of the slots set with the slotIntervalSecs
startTimestamp: start time in UTC format (midnight)
endTimestamp: end time in UTC format (either the time of today or 23:59 if the day is finished)

Example EmographySummaryModel:

{
  "serverDate":"2023-09-22",
  "uuid":"",
  "slots":[
   {
      "timestamp":1695333600000,
      "date":"00:00",
      "cognitiveZone":0,
      "predictiveCZ":0,
      "predictiveCZTransitionTime":0,
      "czHour":0,
      "cortisolContribution":0,
      "cognitiveZoneQ":0,
      "stressLevelSkinConductance":0,
      "stressLevelSkinConductanceQ":4
   },
   {
      "timestamp":1695333660000,
      "date":"00:01",
      "cognitiveZone":0,
      "predictiveCZ":0,
      "predictiveCZTransitionTime":0,
      "czHour":0,
      "cortisolContribution":0,
      "cognitiveZoneQ":0,
      "stressLevelSkinConductance":0,
      "stressLevelSkinConductanceQ":4
   },
   {
      "timestamp":1695333720000,
      "date":"00:02",
      "cognitiveZone":0,
      "predictiveCZ":0,
      "predictiveCZTransitionTime":0,
      "czHour":0,
      "cortisolContribution":0,
      "cognitiveZoneQ":0,
      "stressLevelSkinConductance":0,
      "stressLevelSkinConductanceQ":4
   },
   ...
   {
      "timestamp":1695394200000,
      "date":"16:50",
      "cognitiveZone":0,
      "predictiveCZ":0,
      "predictiveCZTransitionTime":0,
      "czHour":0,
      "cortisolContribution":0,
      "cognitiveZoneQ":0,
      "stressLevelSkinConductance":0,
      "stressLevelSkinConductanceQ":0
   },
   {
      "timestamp":1695394260000,
      "date":"16:51",
      "cognitiveZone":0,
      "predictiveCZ":0,
      "predictiveCZTransitionTime":0,
      "czHour":0,
      "cortisolContribution":0,
      "cognitiveZoneQ":0,
      "stressLevelSkinConductance":0,
      "stressLevelSkinConductanceQ":0
   },
   {
      "timestamp":1695394320000,
      "date":"16:52",
      "cognitiveZone":2,
      "predictiveCZ":1,
      "predictiveCZTransitionTime":0,
      "czHour":1,
      "cortisolContribution":339,
      "cognitiveZoneQ":4,
      "stressLevelSkinConductance":16,
      "stressLevelSkinConductanceQ":4
   }
   ...
  ],
  "stressLevelSkinConductanceAvg":79,
  "startTimestamp":1695247200000,
  "endTimestamp":1695333600000
  }

EmographySlotModel (B2 only)

Data structure

open class EmographySlotModel : RealmObject() {

    @PrimaryKey
    var timestamp: Long = 0 // Time in UTC format
    var date: String =
        "" // Local date corresponding to the timestamp, format "yyyy-MM-dd'T'HH:mm:ss.SSSXXX"
    var cognitiveZone: Int = 0
    var predictiveCZ: Int = 0
    var predictiveCZTransitionTime: Int = 0
    var czHour: Int = 0
    var cortisolContribution: Long = 0
    var cognitiveZoneQ: Int = 0
    var stressLevelSkinConductance: Int = 0
    var stressLevelSkinConductanceQ: Int = 0

}

timestamp: time in UTC format
date: Local date with format "HH:mm"
cognitiveZone: Cognitive zone, range 0-3

0: Undefined 1: Under Stimulated 2: Balanced 3: Over Stimulated

predictiveCZ = Predictive Cognitive Zone: Range 0-3
predictiveCZTransitionTime = Predictive Cognitive Zone Transition Time: time in minutes
czHour = Cognitive Zone in One Hour: Range 0-3
cognitiveZoneQ = quality of cognitive zone: 0-4 (0 = bad quality, 4 = good quality)
stressLevelSkinConductance
stressLevelSkinConductanceQ = quality 0-4

Example

{
   "timestamp":1695333600000,
   "date":"00:00",
   "cognitiveZone":0,
   "predictiveCZ":0,
   "predictiveCZTransitionTime":0,
   "czHour":0,
   "cortisolContribution":0,
   "cognitiveZoneQ":0,
   "stressLevelSkinConductance":0,
   "stressLevelSkinConductanceQ":4
},
{
   "timestamp":1695333660000,
   "date":"00:01",
   "cognitiveZone":0,
   "predictiveCZ":0,
   "predictiveCZTransitionTime":0,
   "czHour":0,
   "cortisolContribution":0,
   "cognitiveZoneQ":0,
   "stressLevelSkinConductance":0,
   "stressLevelSkinConductanceQ":4
},
{
   "timestamp":1695333720000,
   "date":"00:02",
   "cognitiveZone":0,
   "predictiveCZ":0,
   "predictiveCZTransitionTime":0,
   "czHour":0,
   "cortisolContribution":0,
   "cognitiveZoneQ":0,
   "stressLevelSkinConductance":0,
   "stressLevelSkinConductanceQ":4
},
{
   "timestamp":1695333780000,
   "date":"00:03",
   "cognitiveZone":0,
   "predictiveCZ":0,
   "predictiveCZTransitionTime":0,
   "czHour":0,
   "cortisolContribution":0,
   "cognitiveZoneQ":0,
   "stressLevelSkinConductance":0,
   "stressLevelSkinConductanceQ":4
},
{
   "timestamp":1695333840000,
   "date":"00:04",
   "cognitiveZone":0,
   "predictiveCZ":0,
   "predictiveCZTransitionTime":0,
   "czHour":0,
   "cortisolContribution":0,
   "cognitiveZoneQ":0,
   "stressLevelSkinConductance":0,
   "stressLevelSkinConductanceQ":4
},
{
   "timestamp":1695333900000,
   "date":"00:05",
   "cognitiveZone":0,
   "predictiveCZ":0,
   "predictiveCZTransitionTime":0,
   "czHour":0,
   "cortisolContribution":0,
   "cognitiveZoneQ":1,
   "stressLevelSkinConductance":0,
   "stressLevelSkinConductanceQ":4
},
{
   "timestamp":1695333960000,
   "date":"00:06",
   "cognitiveZone":0,
   "predictiveCZ":0,
   "predictiveCZTransitionTime":0,
   "czHour":0,
   "cortisolContribution":0,
   "cognitiveZoneQ":1,
   "stressLevelSkinConductance":0,
   "stressLevelSkinConductanceQ":4
},
{
   "timestamp":1695334020000,
   "date":"00:07",
   "cognitiveZone":0,
   "predictiveCZ":0,
   "predictiveCZTransitionTime":0,
   "czHour":0,
   "cortisolContribution":0,
   "cognitiveZoneQ":1,
   "stressLevelSkinConductance":0,
   "stressLevelSkinConductanceQ":4
},
{
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   "stressLevelSkinConductanceQ":4
},
{
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},
{
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{
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{
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   "date":"00:18",
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}

Summaries

StepsSummaryModel​

StepsSlotModel​

Respiration​

RespirationSummaryModel​

RespirationSlotModel​

Sleep​

SleepSummaryModel​

SleepSlotModel​

Temperature​

TemperatureSummaryModel​

TemperatureSlotModel​

Spo2​

SpO2SummaryModel​

Spo2SlotModel​

Heart rate​

HeartRateSummaryModel​

HeartRateSlotModel​

Stress (EmoGraphy)​

EmographySummaryModel (B2 only)​

Data structure​

EmographySlotModel (B2 only)​

StepsSummaryModel

StepsSlotModel

Respiration

RespirationSummaryModel

RespirationSlotModel

Sleep

SleepSummaryModel

SleepSlotModel

Temperature

TemperatureSummaryModel

TemperatureSlotModel

Spo2

SpO2SummaryModel

Spo2SlotModel

Heart rate

HeartRateSummaryModel

HeartRateSlotModel

Stress (EmoGraphy)

EmographySummaryModel (B2 only)

Data structure

EmographySlotModel (B2 only)