Somfit: ChatPPG research summary card

Device research record

Somfit

Signals and sensors

From the device record. Fields the source does not state are left out.

Maker
Compumedics
Form factor
Head
Series
Somfit
Signals recorded
EEG
Also called
Compumedics Somfit

What published studies show

Results quoted from 1 published validation study, 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).

Overnight heart rate1 study

  • SomfitICC 0.65

    Intraclass correlation · vs ECG · n = 53, Overnight, sleep laboratory

    Miller et al. (2022) Other maker funded

  • Somfit2.6 bpm (absolute bias)

    Mean absolute error · vs ECG · n = 53, Overnight, sleep laboratory

    Miller et al. (2022) Other maker funded

Heart rate accuracy across devices →

HRV (RMSSD)1 study

  • SomfitICC 0.69

    Intraclass correlation · vs ECG · n = 53, Overnight, sleep laboratory

    Miller et al. (2022) Other maker funded

  • Somfit24.0 ms (absolute bias)

    Mean absolute error (absolute bias) · vs ECG · n = 53, Overnight, sleep laboratory

    Miller et al. (2022) Other maker funded

HRV accuracy across devices →

Sleep stages (4-stage)1 study

  • Epoch-by-epoch agreement · vs Polysomnography (PSG) · n = 53, Sleep laboratory, 1 night, 9 h in bed, all devices worn together

    Miller et al. (2022) Other maker funded

  • Somfitκ = 0.52

    Cohen's kappa · vs Polysomnography (PSG) · n = 53, Sleep laboratory, 1 night, 9 h in bed, all devices worn together

    Miller et al. (2022) Other maker funded

Sleep accuracy across devices →

Sleep vs wake (2-stage)1 study

  • Epoch-by-epoch agreement · vs Polysomnography (PSG) · n = 53, Sleep laboratory, 1 night, 9 h in bed, all devices worn together

    Miller et al. (2022) Other maker funded

  • Somfitκ = 0.48

    Cohen's kappa · vs Polysomnography (PSG) · n = 53, Sleep laboratory, 1 night, 9 h in bed, all devices worn together

    Miller et al. (2022) Other maker funded

Sleep accuracy across devices →

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