ppg
Datasets
All datasets matching “ppg”Multisite-PPG
Multisite PPG Dataset
A multisite photoplethysmography (PPG) dataset: long-duration recordings from four body locations, synchronized activity logs, and ECG-derived heart-rate ground truth. It supports PPG-based HR estimation, signal-quality assessment, motion-artifact handling, and cross-site generalization research.
For data preprocessing and baseline training code, see our GitHub repository: anonymous-ppg/wearable-ppg-dataset.
At a glance
Approx.… See the full description on the dataset page: https://huggingface.co/datasets/luobosi/Multisite-PPG.Multisite-PPG
Multisite PPG Dataset
A multisite photoplethysmography (PPG) dataset: long-duration recordings from four body locations, synchronized activity logs, and ECG-derived heart-rate ground truth. It supports PPG-based HR estimation, signal-quality assessment, motion-artifact handling, and cross-site generalization research.
For data preprocessing and baseline training code, see our GitHub repository: anonymous-ppg/wearable-ppg-dataset.
At a glance
Approx.… See the full description on the dataset page: https://huggingface.co/datasets/snowballlab/Multisite-PPG.multisite-ppg-submission
Multisite PPG Dataset
A multisite photoplethysmography (PPG) dataset: long-duration recordings from four body locations, synchronized activity logs, and ECG-derived heart-rate ground truth. It supports PPG-based HR estimation, signal-quality assessment, motion-artifact handling, and cross-site generalization research.
For data preprocessing and baseline training code, see our GitHub repository: anonymous-ppg/wearable-ppg-dataset.
Submission note: This is the anonymized submission… See the full description on the dataset page: https://huggingface.co/datasets/anonymous-ppg-dataset/multisite-ppg-submission.mimic-iv-aligned-ppg-ecgP_P_GHOST_1Million
P_P_GHOST — 1,000,000 record pack (sharded)
This repository contains 1,000,000 JSONL records (gzipped shards) to train/evaluate prompt orchestration that creates the illusion of instant fine-tuning via:
prompt packets / compilation
routing + retrieval grounding (RAG)
tool-use loops (ReAct)
schema enforcement + reasking/repair loops
end-of-pass meta-optimization (self-refine style)
Truth policy
Each record references at least one evidence capsule with a public… See the full description on the dataset page: https://huggingface.co/datasets/WithinUsAI/P_P_GHOST_1Million.PPG-data-for-ML