Products

Data Logs

Data Logs offer a detailed and unprocessed stream of data across various health metrics. This raw data is useful for in-depth health analysis, research, and discovery. It acts as the foundational layer for advanced applications.

Prefer a Simpler Way to Understand Health Data?

Use Sahha's Biomarkers for straightforward and accessible health measurements. Biomarkers translate complex raw health data into clear, accurate metrics. Ideal for most use-cases, they eliminate the hassle of aggregating, de-duplicating and handling raw data. Only opt for Data Logs if your specific needs demand the most detailed and unprocessed data, such as research studies.

List of Data Logs

Below are the key data types captured in Data Logs, categorized by their respective health aspects. The logs can be streamed via webhooks for real-time data reception.

Activity Logs

Data Type Unit Description Requires Wearable
exercise_time minute Duration of physical exercise. No
floors_climbed count Number of floors climbed. No
stand_time minute Time spent standing. No
steps count Total steps taken. No

Blood Logs

Data Type Unit Description Requires Wearable
blood_glucose mg/dL Glucose levels in the blood. Yes
blood_pressure_diastolic mmHg Diastolic blood pressure. Yes
blood_pressure_systolic mmHg Systolic blood pressure. Yes

Body Logs

Data Type Unit Description Requires Wearable
body_fat percent Percentage of body fat. Yes
body_mass_index count Body Mass Index (BMI). No
lean_body_mass kg Weight of lean body mass. Yes
weight kg Total body weight. No

Device Logs

Data Type Unit Description Requires Wearable
device_lock boolean Indicates if the device is locked. No

Energy Logs

Data Type Unit Description Requires Wearable
active_energy_burned kcal Calories burned through activity. No
basal_energy_burned kcal Calories burned at rest. No
time_in_daylight minute Time spent in natural daylight. No

Exercise Logs

Data Type Unit Description Requires Wearable
exercise_session_* minute Duration spent doing specified exercise type. See all supported exercise types No
exercise_session_biking minute Duration spent cycling or biking No
exercise_session_running minute Duration spent running or jogging No
exercise_session_walking minute Duration spent walking for exercise No

Heart Logs

Data Type Unit Description Requires Wearable
heart_rate bpm Beats per minute. Yes
heart_rate_variability ms Variation in intervals between heartbeats. Yes
heart_rate_variability_sdnn ms Standard deviation of NN intervals. Yes
resting_heart_rate bpm Heart rate at rest. Yes
walking_heart_rate_average bpm Average heart rate while walking. Yes

Oxygen Logs

Data Type Unit Description Requires Wearable
oxygen_saturation percent Percentage of oxygen-saturated hemoglobin. Yes
respiratory_rate bps Breaths per second. Yes
vo2_max ml/kg/min Maximum rate of oxygen consumption during exercise. Yes

Sleep Logs

Data Type Unit Description Requires Wearable
sleep_stage_awake minute Duration in awake stage. Yes
sleep_stage_deep minute Duration in deep sleep stage. Yes
sleep_stage_in_bed minute Duration in bed, not necessarily asleep. No
sleep_stage_light minute Duration in light sleep stage. Yes
sleep_stage_rem minute Duration in REM sleep stage. Yes
sleep_stage_sleeping minute Duration spent asleep/sleeping. No

Temperature Logs

Data Type Unit Description Requires Wearable
basal_body_temperature degC Body temperature at rest. Yes
sleeping_wrist_temperature degC Temperature measured at the wrist during sleep Yes

Browse our comprehensive data dictionary to view all available outputs beyond just data logs.

Output Schema for Data Logs

When you receive data from Data Logs, it comes in a structured format, or "schema," that looks like this:

[
{
"logType": "activity",
"dataType": "steps",
"externalId": "ext-789",
"receivedAtUtc": "2023-06-26T12:34:56+00:00",
"dataLogs": [
{
"id": "123e4567-e89b-12d3-a456-426614174003",
"parentId": null,
"value": 10000,
"unit": "count",
"source": "iPhone X",
"recordingMethod": "RECORDING_METHOD_AUTOMATICALLY_RECORDED",
"deviceType": "iPhone13,2",
"startDateTime": "2023-06-25T00:00:00+00:00",
"endDateTime": "2023-06-25T23:59:59+00:00",
"additionalProperties": {
"": ""
}
}
]
}
]
  • LogType : Specifies the grouping the log fits into such as activity or sleep or energy etc.
  • DataType : Specifies what kind of health data is being logged, such as heart_rate or steps.
  • ExternalId : The identifier for the profile / device that send the log.
  • ReceivedAtUtc : The date and time in UTC that the log was received.
  • DataLogs : Contains an array of objects where each object is an individual data log.
  • Id :
  • Value : The recorded value for the data type.
  • Unit : The measurement unit for the Value, like beats per minute (bpm) or count.
  • Source : Identifies where or what device the data came from.
  • RecordingMethod : Describes how the data was collected, which might not always be specified.
  • DeviceType : The specific type or model of the device that recorded the data.
  • StartDateTime : When the data recording started, in an ISO 8601 format.
  • EndDateTime : When the data recording ended, also in an ISO 8601 format.
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