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Sleep/wake detection (actigraphy-style) leaderboard

DREAMT: Class F1 for one stated class , not macro

1 reported result for sleep/wake detection (actigraphy-style) on DREAMT, ranked by Class F1 for one stated class , not macro. Every row cites its source…

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  1. Leaderboard added with 1 result

From the hub's dated sync history: new results as they are added, and SOTA stars as they are awarded or move.

This page ranks every result ChatPPG has recorded for sleep/wake detection (actigraphy-style) on DREAMT, measured by Class F1 for one stated class (e.g. SDB events), not macro (higher is better). Each number is copied from the publication cited in its row, and ranks apply only within this dataset and metric.

Only one result has been reported on this dataset and metric so far, so this is a reference point rather than a multi-method comparison.

Sleep/wake detection (actigraphy-style): DREAMT, Class F1 for one stated class (e.g. SDB events), not macro. Reported rankings; evaluation protocols may differ.
RankMethod & evaluationClass F1 for one stated class (e.g. SDB events), not macro↑ Higher is better
1Addressing Wearable Sleep Tracking Inequity

Addressing Wearable Sleep Tracking Inequity: A New Dataset and Novel Methods for a Population with Sleep Disorders

Evaluation details

GPBoost + apnea-severity random effect + LSTM post-processing; participant-level 5-fold CV on 80 participants (16 test/fold); E4 BVP/ACC/EDA/TEMP features; mean ± SD 0.823 ± 0.019 (Table 2)

Label set: 2-class, wake = positive class

Weights: not released

Reported as of: 2026-11-09

0.823

Rows are ranked only within this task × dataset × metric. Protocols can differ; read each method's evaluation details before comparing. Latest reported row: 2026-11-09.

About the dataset

Licence: PhysioNet Restricted Health Data License 1.5.0

Sources on this board

Related leaderboards

Other metrics on DREAMT

Sleep/wake detection (actigraphy-style) on other datasets

Data and submissions

Downloads of every leaderboard (JSON and CSV) are free for members. Sign in to download.Missing a published result? Email hello@chatppg.com with the paper link and the exact table it comes from.

Cite or reuse this

CC BY 4.0ChatPPG compiled this data. You can copy, adapt and republish it, including in articles, slides, papers and AI tools, as long as you credit ChatPPG and link to this page. Please also cite the original studies for any number you use.

Attribution

Source: ChatPPG, DREAMT Class F1 for one stated class , not macro leaderboard: sleep/wake detection (actigraphy-style), https://chatppg.com/research/leaderboards/sleep-wake/dreamt-f1 (CC BY 4.0)

HTML link

Source: <a href="https://chatppg.com/research/leaderboards/sleep-wake/dreamt-f1">ChatPPG, DREAMT Class F1 for one stated class , not macro leaderboard: sleep/wake detection (actigraphy-style)</a> (<a href="https://creativecommons.org/licenses/by/4.0/" rel="license">CC BY 4.0</a>)

Cite the page URL and the date you accessed it. Please also cite the original publications listed above.

APA

ChatPPG. (2026). DREAMT Class F1 for one stated class , not macro leaderboard: sleep/wake detection (actigraphy-style) [Data set]. ChatPPG Research Hub. https://chatppg.com/research/leaderboards/sleep-wake/dreamt-f1

BibTeX
@misc{chatppg_sleep_wake_dreamt_f1,
  author       = {{ChatPPG}},
  title        = {{DREAMT Class F1 for one stated class , not macro leaderboard: sleep/wake detection (actigraphy-style)}},
  year         = {2026},
  month        = nov,
  howpublished = {\url{https://chatppg.com/research/leaderboards/sleep-wake/dreamt-f1}},
  note         = {ChatPPG Research Hub}
}
CITATION.cff
cff-version: 1.2.0
message: "If you use this resource, please cite it as below."
type: dataset
title: "DREAMT Class F1 for one stated class , not macro leaderboard: sleep/wake detection (actigraphy-style)"
authors:
  - name: "ChatPPG"
url: "https://chatppg.com/research/leaderboards/sleep-wake/dreamt-f1"
date-released: "2026-11-09"