Device research record
Fitbit Sense 2
Signals and sensors
From the device record. Fields the source does not state are left out.
- Maker
- Google / Fitbit
- Form factor
- Wrist
- Series
- Sense 2
- Signals recorded
- PPG, Accelerometer, EDA, Temperature
- Also called
- Sense 2
What published studies show
Results quoted from 4 published validation studies, each against a clinical reference. A result applies to the model and protocol tested, not to every model the brand sells. From the wearable accuracy database (v1.0.0).
Sleep stages (4-stage)2 studies
| Device tested | Result | Reference | Sample | Study |
|---|---|---|---|---|
| Fitbit Sense 2 | 61.7–78.0% (range across stages)Sensitivity | Polysomnography (PSG) | n = 35, Inpatient, 1 night | Robbins et al. (2024)Other maker funded |
| Fitbit Sense 2deep sleep duration | Deep sleep −15 minMean bias (signed) | Polysomnography (PSG) | n = 35, Inpatient, 1 night | Robbins et al. (2024)Other maker funded |
| Fitbit Sense 2 | κ = 0.42Cohen's kappa | Polysomnography (PSG) | n = 26, Two Korean sleep centres, in-lab PSG | Lee et al. (2023)Independent |
| Fitbit Sense 2 | 64.6%Epoch-by-epoch agreement | Polysomnography (PSG) | n = 26, Two Korean sleep centres, in-lab PSG | Lee et al. (2023)Independent |
- Fitbit Sense 261.7–78.0% (range across stages)
Sensitivity · vs Polysomnography (PSG) · n = 35, Inpatient, 1 night
Robbins et al. (2024) Other maker funded
- Fitbit Sense 2Deep sleep −15 min
Mean bias (signed), deep sleep duration · vs Polysomnography (PSG) · n = 35, Inpatient, 1 night
Robbins et al. (2024) Other maker funded
- Fitbit Sense 2κ = 0.42
Cohen's kappa · vs Polysomnography (PSG) · n = 26, Two Korean sleep centres, in-lab PSG
Lee et al. (2023) Independent
- Fitbit Sense 264.6%
Epoch-by-epoch agreement · vs Polysomnography (PSG) · n = 26, Two Korean sleep centres, in-lab PSG
Lee et al. (2023) Independent
Sleep vs wake (2-stage)1 study
| Device tested | Result | Reference | Sample | Study |
|---|---|---|---|---|
| Fitbit Sense 2 | ≥ 95%Sensitivity | Polysomnography (PSG) | n = 35, Inpatient, 1 night | Robbins et al. (2024)Other maker funded |
- Fitbit Sense 2≥ 95%
Sensitivity · vs Polysomnography (PSG) · n = 35, Inpatient, 1 night
Robbins et al. (2024) Other maker funded
Total sleep time1 study
| Device tested | Result | Reference | Sample | Study |
|---|---|---|---|---|
| Fitbit Sense 2 | −74.5 min (older adults)Mean bias (signed) | Polysomnography (PSG) | n = 19, 1 night | Searles et al. (2026)Funding not reported |
- Fitbit Sense 2−74.5 min (older adults)
Mean bias (signed) · vs Polysomnography (PSG) · n = 19, 1 night
Searles et al. (2026) Funding not reported
Energy expenditure (calories)1 study
| Device tested | Result | Reference | Sample | Study |
|---|---|---|---|---|
| Fitbit Sense 2physical activity energy expenditure, 10 min | +3.14 kcalMean bias (signed) | Indirect calorimetry | n = 44, 10-min recumbent cycling intervals | Kostrna et al. (2026)Independent |
- Fitbit Sense 2+3.14 kcal
Mean bias (signed), physical activity energy expenditure, 10 min · vs Indirect calorimetry · n = 44, 10-min recumbent cycling intervals
Kostrna et al. (2026) Independent
Comparisons
Head-to-head pages that name Fitbit Sense 2 come first, then other comparisons for the brand.
- Fitbit vs Apple Watch: PPG Sensor Accuracy and Health FeaturesMentions Fitbit Sense 2
- Oura Ring vs Apple Watch: Finger PPG vs Wrist PPG AccuracyMentions Fitbit Sense 2
- Fitbit vs Garmin: Heart Rate Accuracy ComparedMentions Fitbit Sense 2
- Google Pixel Watch vs Apple Watch: PPG Sensor and Health Ecosystem