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Getting Started
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Garmin Devices
- Garmin Device Firmware Guide
- Check Garmin Device Firmware
- Set up and Connect Garmin Index2 Scale
- Screen Control on Garmin Wearables
- How to charge Garmin devices best
- Wearable and Device ID Management
- Setup: Prepare Wearable Devices
- Compatible Garmin Devices
- Garmin Timezone & Time
- Wifi Capabilities and Restrictions of Garmin Devices
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Setup
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Manage
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Data Collection
- Collect Data: Synchronization Types
- Collect Data: Tablet Sync (multi-sync) with "Fitrockr Hub (Multi-Sync)" app
- Collect Data: Smartphone Sync (single-sync) with Garmin Connect app
- Collect Data: Overview
- Collect Data: Smartphone Sync (single-sync) with Fitrockr app
- Collect Data: Sync via USB cable to Laptop
- Collect Data: Smartphone Sync (single-sync) with Omron Blood Pressure Monitors
- Apple Health and Google Health Connect
- Withings
- Wifi Capabilities and Restrictions of Garmin Devices
- Wearable Sync Methods and Frequencies
- Samsung Health
- Oura
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Track
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Analyze
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Other
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Trouble Shooting
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Definitions
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FAQ
- How to use HR monitor strap
- What happens when a Garmin device runs full?
- How to read Accelerometer json output file
- How to get access to Dexcom data
- Which Garmin devices support Wifi sync
- How to free up and reclaim licenses
- How to do a complete data export
- How to enable notifications on the wearable
- Why are some values longer than the given timeframe
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Blog
Why do some values exceed the timeframe?
When reviewing intraday data, you may notice values extending beyond the specified timeframe—this can seem incorrect at first glance.
|
Timeframe
|
Activity Minutes
|
Steps
|
|---|---|---|
|
08:00 - 08:01 |
0 |
0 |
|
08:01 - 08:02 |
0 |
100 |
|
08:02 - 08:03 |
0 |
0 |
|
08:03 - 08:04 |
3 |
500 |
When you look at the last row in this example, you may notice 3 activity minutes and 500 steps within a one-minute timeframe (08:03–08:04). At first glance, this can seem incorrect.
The reason is that the wearable assigns timestamps based on when the data is reported, not necessarily when it was generated. In this case, the values are associated with the time window 08:03–08:04.
However, this does not mean the activity actually occurred within that minute. For example, the 3 activity minutes could have taken place at any time before 08:04 but were only associated by the wearable at that point.
As a result, intraday data cannot always be interpreted as an exact minute-by-minute distribution of data. If you require precise, time-aligned measurements, you should record workouts directly on the wearable or enable detailed logging (e.g., step logging).