Statistic Types and Methods - Spike API

Statistics

The following table lists all the statistics available, along with their descriptions, applicable methods, associated metrics, units of measurement, and number of decimals for output precision.

Label	Description	Methods	Metrics	Unit	Precision
calories_burned_active	Calories burned during active periods	intersect_sum	`calories_burned_active`	kcal	4
calories_burned_basal	Calories burned at rest (basal metabolic rate)	intersect_sum	`calories_burned_basal`	kcal	4
calories_burned_total	Total calories burned including basal and active periods	intersect_union_sum	`calories_burned` `calories_burned_basal` `calories_burned_active`	kcal	4
distance_cycling	Total distance covered while cycling	intersect_sum	`distance_cycling`	meters	4
distance_running	Total distance covered while running	intersect_sum	`distance_running`	meters	4
distance_total	Total distance covered across all activities	intersect_union_sum	`distance` `distance_walking` `distance_cycling` `distance_running`	meters	4
distance_walking	Total distance covered while walking	intersect_sum	`distance_walking`	meters	4
duration_high_intensity	Duration of high level intensity	intersect_sum	`duration_high_intensity`	ms	0
duration_low_intensity	Duration of low level intensity	intersect_sum	`duration_low_intensity`	ms	0
duration_moderate_intensity	Duration of medium level intensity	intersect_sum	`duration_moderate_intensity`	ms	0
heartrate	Average heart rate over a period	duration_weighted_avg	`heartrate`	bpm	0
heartrate_max	Maximum recorded heart rate, providing insights into peak values	max	`heartrate`	bpm	0
heartrate_min	Minimum recorded heart rate, providing insights into lowest values	min	`heartrate`	bpm	0
heartrate_resting	Average resting heart rate	duration_weighted_avg	`heartrate_resting`	bpm	0
hrv_rmssd	Heart rate variability measured by RMSSD	duration_weighted_avg	`hrv_rmssd`	ms	0
hrv_sdnn	Heart rate variability measured by SDNN	duration_weighted_avg	`hrv_sdnn`	ms	0
sleep_duration_total	Total sleep duration across all sleep stages	intersect_union_sum	`sleep_duration_deep` `sleep_duration_light` `sleep_duration_rem` `sleep_duration_awake`	ms	0
sleep_score	Overall sleep score based on various sleep metrics	sleep_score	`bedtime_duration` `sleep_duration` `sleep_duration_nap` `sleep_duration_light` `sleep_duration_deep` `sleep_duration_rem` `sleep_duration_awake` `sleep_interruptions` `sleep_efficiency` `sleep_latency` `sleep_breathing_rate`	count	0
sleep_skin_temperature_deviation	Sleep skin temperature deviation from the baseline	intersect_sum	`sleep_skin_temperature_deviation`	celsius	2
steps	Total number of steps taken	intersect_sum	`steps`	count	0

Methods

The table below provides details on the various methods used in the statistics, including a brief description of each.

Label	Description
duration_weighted_avg	Average of values weighted by their duration, ensuring longer durations have a greater impact on the average.
intersect_sum	Sum of intersecting values of specified metrics, aggregating overlapping data points to provide a total count or sum.
intersect_union_sum	Sum of the union of intersecting values, merging several metrics to provide a comprehensive aggregation across multiple metrics.
max	Maximum value of the specified metrics, providing insights into the peak values recorded.
min	Minimum value of the specified metrics, providing insights into the lowest values recorded.
sleep_score	A score representing the quality of sleep, calculated using intersecting values.