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Paper

Structured Trajectory Supervision for Reliable Physiological Time-Series Regression (PPI-Net)

Under review2026Added Oct 6, 2026

  • IZ
  • HN
  • TH
  • HU
  • PN
  • DB

Authors: ICLR submission: Anonymous (double-blind). Companion code release (Zenodo 23462747, 2026-10-19): Hang Thi Phuong Nguyen, Thi-Oanh Ha, Hieyong Jeong (Chonnam National University), per the LICENSE copyright line. It has the same model name, design and headline numbers (4.04 BPM)

ICLR 2027 submission (under review); companion code release states submission to IEEE TBME

Paper page (opens in a new tab) Cite

Open codeLicence: MIT (code); CC BY 4.0 (Zenodo archive)

TL;DR

Treats scalar HR as a reduction of an unobserved pulse-to-pulse-interval (PPI) trajectory. PPI-Net predicts a 128-point PPI trajectory with per-point uncertainty and derives HR by inverse-variance-weighted aggregation. On an identical backbone, swapping the scalar head for the trajectory head lowers participant-level MAE from 5.11 to 4.04 BPM under leave-one-subject-out (paired −1.07 BPM, better on 13/15 subjects, P = .010).

  • Form factor: wrist

Results on ChatPPG leaderboards · 1

All leaderboards
LeaderboardMethodResultRank
PPG-DaLiA MAE (BPM)Heart rate estimationStructured Trajectory Supervision for Reliable P4.04MAE (BPM), lower is better#3 of 14

1 row is credited to this paper. Ranks apply within each leaderboard only, as reported by the source.

Tasks & signals

Tasks

Heart rate estimationHeart rate

Signals

PPGIMU

Devices

Empatica E4RespiBAN chest band

Keywords

HR-estimationwrist-PPGPPIuncertaintyselective-predictionLOSOreproducibilityICLR-2027-subnegative-result

Datasets

How it works

How Method works: Setup → Method → TargetSetup: Signals (PPG, ACC); Form factor (wrist). Method: Method. Target: Heart rate.SetupSignals: PPG, ACCSignalsPPG, ACCForm factor: wristForm factorwristMethodMethodTargetHeart rateHeart rate

Cite this paper

APA

Structured Trajectory Supervision for Reliable Physiological Time-Series Regression (PPI-Net). (2026). ICLR 2027 submission. https://openreview.net/forum?id=pMkLClhQKn

BibTeX

@misc{ppinetstructured2026structured,
  title         = {{Structured Trajectory Supervision for Reliable Physiological Time-Series Regression (PPI-Net)}},
  year          = {2026},
  howpublished  = {ICLR 2027 submission},
  url           = {https://openreview.net/forum?id=pMkLClhQKn}
}

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Same tasks, data and authors

Papers

Models

Datasets