Study record · comparative · 2020

Detecting sleep using heart rate and motion data from multisensor consumer-grade wearables, relative to wrist actigraphy and polysomnography

Roberts DM, Schade MM, Mathew GM, Gartenberg D, and Buxton OM

Sleep, 43(7), zsaa045 · 2020

Why this study matters to CircaTest

Important because it directly compares Apple Watch and Oura Ring against ECG and PSG using identical methodology and machine-learning-built classifiers. The published abstract reports aggregated ranges across the device set (sensitivity 0.883-0.977, specificity 0.407-0.821, d' 1.827-2.347) but does not break these down per device, so this CircaTest record stores them as range-only with null per-device values. Anyone needing per-device numbers should consult the full paper at the PMC link.

Abstract

STUDY OBJECTIVES: Multisensor wearable consumer devices allowing the collection of multiple data sources, such as heart rate and motion, for the evaluation of sleep in the home environment, are increasingly ubiquitous.…

Read the full abstract on the source →

Source: PUBMED · Excerpt for fair-use commentary; full abstract via the source link

Population

Sample size

n = 8

Age

adult

Reference standard

psg

8 participants × 4 nights each in a sleep laboratory with PSG, Apple Watch, Oura Ring, ECG, and triaxial actigraph simultaneously. Small sample but dense per-participant data.

Devices and metrics

Apple Watch (Series 4-era; multisensor configuration)

All studies for this device →

Metric	Value	95% CI	Note
Sensitivity	see source	—	The published abstract reports classifier sensitivity ranging from 0.883 to 0.977 ACROSS all multisensor wearable devices in the study. The abstract does not break sensitivity down per device. Consult the full paper for the per-device assignment.
Specificity	see source	—	The published abstract reports classifier specificity ranging from 0.407 to 0.821 across all multisensor wearable devices. Per-device breakdown not stated in the abstract.

Oura Ring (Gen 2-era)

All studies for this device →

Metric	Value	95% CI	Note
Sensitivity	see source	—	Per-device breakdown not stated in the abstract; see the per-device note on the Apple Watch entry above.
Specificity	see source	—	Per-device breakdown not stated in the abstract; see the per-device note on the Apple Watch entry above.

Cite this study

Roberts DM, Schade MM, Mathew GM, Gartenberg D, and Buxton OM (2020). Detecting sleep using heart rate and motion data from multisensor consumer-grade wearables, relative to wrist actigraphy and polysomnography. Sleep, 43(7), zsaa045. https://doi.org/10.1093/sleep/zsaa045

AI-assembled record · errors are possible

This page was built and is maintained by AI working from the published abstract and PubMed metadata for the cited study. CircaTest does not have access to the full text of every paper in its corpus. Categories of error that have happened on this site and could happen again include:

Per-device metric values inferred when the abstract reports only an aggregate range
Stage-specific accuracy figures pulled from secondary sources rather than the primary paper
Sample size or population characteristics missing from the abstract
Editorial framing in the curatorial note that overstates the study's actual scope
Year typos and author-name transliteration errors

Where a metric value reads see source, the published abstract did not contain that value and CircaTest deliberately left it null rather than guess. For any decision that depends on the underlying numbers, please consult the linked PubMed, PMC, or DOI source directly. Corrections are welcome via the about page.

Source links

Added to the CircaTest meta-analysis on 2026-04-06. How CircaTest evaluates studies →