7.27↓
Heart rate estimation · PPG-DaLiA · Mean absolute HR error (BPM)
uses extra training data
Leaderboard row
2026
Results explorer
One row per reported result from wearable PPG, ECG, motion and sleep papers. Filter by task, dataset, metric, sensor and year, or show only SOTA rows. Each value links to its source: a paper table or figure, or the leaderboard row it came from.
Last updated
433
reported results
224
with a table or figure reference
92
papers and models
134
task × dataset × metric pairs
38
benchmarks with a SOTA star
433 results
Heart rate estimation · PPG-DaLiA · Mean absolute HR error (BPM)
subject-disjointuses extra training data
Leaderboard row
Heart rate estimation · PPG-DaLiA · Mean absolute HR error (BPM)
subject-disjointuses extra training data
Leaderboard row
Heart rate estimation · PPG-DaLiA · Mean absolute HR error (BPM)
uses extra training data
Leaderboard row
Heart rate estimation · PPG-DaLiA · Mean absolute HR error (BPM)
uses extra training data
Leaderboard row
Heart rate estimation · PPG-DaLiA · Mean absolute HR error (BPM)
uses extra training data
Leaderboard row
9.790↓
Heart rate estimation · PPG-DaLiA · Mean absolute HR error (BPM)
uses extra training data
Leaderboard row
Heart rate estimation · PPG-DaLiA · Mean absolute HR error (BPM)
uses extra training data
Leaderboard row
4.58↓
Heart rate estimation · WESAD · Mean absolute HR error (BPM)
subject-disjointuses extra training data
Leaderboard row
2026
Heart rate estimation · WESAD · Mean absolute HR error (BPM)
subject-disjointuses extra training data
Leaderboard row
2025
Heart rate estimation · WildPPG · Mean absolute HR error (BPM)
subject-disjointuses extra training data
Leaderboard row
5.47↓
Heart rate · BUT PPG · MAE (BPM)
as defined per dataset in the paperwithin-datasetlinear probe on frozen embeddings
Chronos-2
7.05↓
Heart rate · BUT PPG · MAE (BPM)
as defined per dataset in the paperwithin-datasetlinear probe on frozen embeddings
MOMENT
7.35↓
Heart rate · BUT PPG · MAE (BPM)
as defined per dataset in the paperwithin-datasetlinear probe on frozen embeddings
7.55↓
Heart rate · BUT PPG · MAE (BPM)
as defined per dataset in the paperwithin-datasetlinear probe on frozen embeddings
SimCLR
7.63↓
Heart rate · BUT PPG · MAE (BPM)
as defined per dataset in the paperwithin-datasetlinear probe on frozen embeddings
8.92↓
Heart rate · BUT PPG · MAE (BPM)
as defined per dataset in the paperwithin-datasetlinear probe on frozen embeddings
Heart rate · IEEE SPC 2015 · MAE (BPM)
leave-one-session-outwithin-datasetfine-tuned
Heart rate · IEEE SPC 2015 · MAE (BPM)
leave-one-session-outwithin-datasetfine-tuned
Deep PPG
Baseline in GPT-PPG: a GPT-based foundation model for photoplethysmography signals
4.0↓
Heart rate · IEEE SPC 2015 · MAE (BPM)
leave-one-session-outwithin-datasetfine-tuned
Heart rate · IEEE SPC 2015 · MAE (BPM)
leave-one-session-outwithin-datasetfine-tuned
3.21↓
Heart rate · PPG-BP · MAE (BPM)
subject-disjoint 5-fold CV, 5 seedswithin-datasetlinear probe on frozen embeddings
3.31↓
Heart rate · PPG-BP · MAE (BPM)
subject-disjoint 5-fold CV, 5 seedswithin-datasetlinear probe on frozen embeddings
3.67↓
Heart rate · PPG-BP · MAE (BPM)
subject-disjoint 5-fold CV, 5 seedswithin-datasetlinear probe on frozen embeddings
4.15↓
Heart rate · PPG-BP · MAE (BPM)
subject-disjoint 5-fold CV, 5 seedswithin-datasetlinear probe on frozen embeddings
4.89↓
Heart rate · PPG-BP · MAE (BPM)
subject-disjoint 5-fold CV, 5 seedswithin-datasetlinear probe on frozen embeddings
Heart rate · PPG-DaLiA · MAE (BPM)
leave-one-session-outwithin-datasetfine-tuned
Heart rate · PPG-DaLiA · MAE (BPM)
subject-disjoint 5-fold CV, 5 seedswithin-datasetlinear probe on frozen embeddings
MOMENT
7.508↓
Heart rate · PPG-DaLiA · MAE (BPM)
subject-wisewithin-datasetlinear probe on frozen embeddingsinstantaneous HR
9.27↓
Heart rate · PPG-DaLiA · MAE (BPM)
as defined per dataset in the paperwithin-datasetlinear probe on frozen embeddings
Heart rate · PPG-DaLiA · MAE (BPM)
leave-one-session-outwithin-datasetfine-tuned
Heart rate · PPG-DaLiA · MAE (BPM)
leave-one-session-outwithin-datasetfine-tuned
Deep PPG
Baseline in GPT-PPG: a GPT-based foundation model for photoplethysmography signals
7.65↓
Heart rate · PPG-DaLiA · MAE (BPM)
leave-one-session-outwithin-datasetfine-tuned
Chronos
8.170↓
Heart rate · PPG-DaLiA · MAE (BPM)
subject-wisewithin-datasetlinear probe on frozen embeddingsinstantaneous HR
MOMENT
Baseline in PPG-Bench: A Unified Benchmark for PPG Foundation Models
8.24↓
Heart rate · PPG-DaLiA · MAE (BPM)
subject-disjoint 5-fold CV, 5 seedswithin-datasetlinear probe on frozen embeddings
8.936↓
Heart rate · PPG-DaLiA · MAE (BPM)
subject-wisewithin-datasetlinear probe on frozen embeddingsinstantaneous HR
SimCLR
9.37↓
Heart rate · PPG-DaLiA · MAE (BPM)
as defined per dataset in the paperwithin-datasetlinear probe on frozen embeddings
BYOL
9.51↓
Heart rate · PPG-DaLiA · MAE (BPM)
as defined per dataset in the paperwithin-datasetlinear probe on frozen embeddings
10.00↓
Heart rate · PPG-DaLiA · MAE (BPM)
subject-disjoint 5-fold CV, 5 seedswithin-datasetlinear probe on frozen embeddings
MOMENT
10.43↓
Heart rate · PPG-DaLiA · MAE (BPM)
as defined per dataset in the paperwithin-datasetlinear probe on frozen embeddings
10.79↓
Heart rate · PPG-DaLiA · MAE (BPM)
as defined per dataset in the paperwithin-datasetlinear probe on frozen embeddings
PRV control
Baseline in PPG-Bench: A Unified Benchmark for PPG Foundation Models
11.19↓
Heart rate · PPG-DaLiA · MAE (BPM)
subject-disjoint 5-fold CV, 5 seedswithin-datasetlinear probe on frozen embeddings
11.28↓
Heart rate · PPG-DaLiA · MAE (BPM)
subject-disjoint 5-fold CV, 5 seedswithin-datasetlinear probe on frozen embeddings
PaPaGei-P
Baseline in PPG-Bench: A Unified Benchmark for PPG Foundation Models
11.68↓
Heart rate · PPG-DaLiA · MAE (BPM)
subject-disjoint 5-fold CV, 5 seedswithin-datasetlinear probe on frozen embeddings
12.88↓
Heart rate · PPG-DaLiA · MAE (BPM)
as defined per dataset in the paperwithin-datasetlinear probe on frozen embeddings
13.75↓
Heart rate · PPG-DaLiA · MAE (BPM)
subject-disjoint 5-fold CV, 5 seedswithin-datasetlinear probe on frozen embeddings
15.22↓
Heart rate · PPG-DaLiA · MAE (BPM)
subject-wisewithin-datasetlinear probe on frozen embeddingsinstantaneous HR
Heart rate · WESAD · MAE (BPM)
leave-one-session-outwithin-datasetfine-tuned
Heart rate · WESAD · MAE (BPM)
leave-one-session-outwithin-datasetfine-tuned
Heart rate · WESAD · MAE (BPM)
leave-one-session-outwithin-datasetfine-tuned
Showing 201–250 of 433 results
Recent changes
New entry: A cross-subject stress recognition method…, 0.9158
Stress detection (acute / prolonged / affect): WESAD: accuracy
New entry: PC-AVCT wearable-state model, 7.697
From the hub's dated sync history: new results as they are added, and SOTA stars as they are awarded or move.
How SOTA is decided
- marks the best value for one task, dataset and metric, using the metric's direction (higher or lower is better).
- Results are compared only under the same evaluation protocol: split type, within- or cross-dataset testing, filtering, inputs and label set. Different protocols stay separate and are never ranked together.
- Only results with a table, figure or section reference compete, and a star needs at least two competing methods. Ties go to the earlier publication.
- Stars are recomputed whenever the research hub syncs, and every change is logged.
Downloads of every result (JSON and CSV) are free for members. Sign in to download.
Results as reported by the authors; not independently reproduced. Leaderboard rows without a structured protocol are listed but don't receive stars. See also the leaderboards.
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, Wearable AI results explorer, https://chatppg.com/research/results (CC BY 4.0)
HTML link
Source: <a href="https://chatppg.com/research/results">ChatPPG, Wearable AI results explorer</a> (<a href="https://creativecommons.org/licenses/by/4.0/" rel="license">CC BY 4.0</a>)