Cover Image

PPG-Distill: Efficient Photoplethysmography Signals Analysis via Foundation Model Distillation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ni, Juntong, Kataria, Saurabh, Tang, Shengpu, Yang, Carl, Hu, Xiao, Jin, Wei
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GPT-PPG: A GPT-based Foundation Model for Photoplethysmography Signals
by: Chen, Zhaoliang, et al.
Published: (2025)

TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation
by: Ni, Juntong, et al.
Published: (2025)

Vision4PPG: Emergent PPG Analysis Capability of Vision Foundation Models for Vital Signs like Blood Pressure
by: Kataria, Saurabh, et al.
Published: (2025)

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model
by: Kataria, Saurabh, et al.
Published: (2025)

Generalist vs Specialist Time Series Foundation Models: Investigating Potential Emergent Behaviors in Assessing Human Health Using PPG Signals
by: Kataria, Saurabh, et al.
Published: (2025)

Prompt Amplification and Zero-Shot Late Fusion in Audio-Language Models for Speech Emotion Recognition
by: Kataria, Saurabh, et al.
Published: (2026)

An Adaptive Machine Learning Triage Framework for Predicting Alzheimer's Disease Progression
by: Hou, Richard, et al.
Published: (2025)

Towards Characterizing Knowledge Distillation of PPG Heart Rate Estimation Models
by: Arora, Kanav, et al.
Published: (2025)

SIGMA-PPG: Statistical-prior Informed Generative Masking Architecture for PPG Foundation Model
by: Guo, Zongheng, et al.
Published: (2026)

Estimating Clinical Lab Test Result Trajectories from PPG using Physiological Foundation Model and Patient-Aware State Space Model -- a UNIPHY+ Approach
by: Wang, Minxiao, et al.
Published: (2025)

GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights
by: Gong, Shengbo, et al.
Published: (2024)

FairTune: A Bias-Aware Fine-Tuning Framework Towards Fair Heart Rate Prediction from PPG
by: Panchumarthi, Lovely Yeswanth, et al.
Published: (2025)

Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networks
by: Joshi, Siddharth, et al.
Published: (2024)

Data-Efficient Symbolic Regression via Foundation Model Distillation
by: Ying, Wangyang, et al.
Published: (2025)

Distilling Time Series Foundation Models for Efficient Forecasting
by: Li, Yuqi, et al.
Published: (2026)

Robust Photoplethysmography Signal Denoising via Mamba Networks
by: Chiu, I, et al.
Published: (2025)

Machine Learning Assisted Postural Movement Recognition using Photoplethysmography(PPG)
by: Maccay, Robbie, et al.
Published: (2024)

TaxDistill: Improving Metagenomic Taxonomic Annotation via Distilled Genomic Foundation Models
by: Ye, Rongye, et al.
Published: (2026)

SignalMC-MED: A Multimodal Benchmark for Evaluating Biosignal Foundation Models on Single-Lead ECG and PPG
by: Gustafsson, Fredrik K., et al.
Published: (2026)

Fusion of ECG Foundation Model Embeddings to Improve Early Detection of Acute Coronary Syndromes
by: Meng, Zeyuan, et al.
Published: (2025)

Scalable Graph Condensation with Evolving Capabilities
by: Gong, Shengbo, et al.
Published: (2025)

Biosignal Fingerprinting: A Cross-Modal PPG-ECG Foundation Model
by: Liu, Zhangdaihong, et al.
Published: (2026)

Exploring Time-Step Size in Reinforcement Learning for Sepsis Treatment
by: Sun, Yingchuan, et al.
Published: (2025)

Reasoning-preserved Efficient Distillation of Large Language Models via Activation-aware Initialization
by: He, Junlin, et al.
Published: (2026)

Longitudinal Progression Prediction of Alzheimer's Disease with Tabular Foundation Model
by: Ding, Yilang, et al.
Published: (2025)

Efficient Analysis of the Distilled Neural Tangent Kernel
by: Mahowald, Jamie, et al.
Published: (2026)

Scaling Reasoning Efficiently via Relaxed On-Policy Distillation
by: Ko, Jongwoo, et al.
Published: (2026)

Wearable Accelerometer Foundation Models for Health via Knowledge Distillation
by: Abbaspourazad, Salar, et al.
Published: (2024)

Selecting Feature Interactions for Generalized Additive Models by Distilling Foundation Models
by: Jia, Jingyun, et al.
Published: (2026)

Benchmarking Open-Source PPG Foundation Models for Biological Age Prediction
by: Brag, N.
Published: (2026)

Distilling Tabular Foundation Models for Structured Health Data
by: Tanna, Aditya, et al.
Published: (2026)

HERO: Heterogeneous Continual Graph Learning via Meta-Knowledge Distillation
by: Sun, Guiquan, et al.
Published: (2025)

EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training
by: Tang, Yuting, et al.
Published: (2025)

Standing on the Shoulders of Giants: Rethinking EEG Foundation Model Pretraining via Multi-Teacher Distillation
by: Li, Chenqi, et al.
Published: (2026)

TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness
by: Zhao, Zhiyuan, et al.
Published: (2025)

SeizureFormer: A Transformer Model for IEA-Based Seizure Risk Forecasting
by: Feng, Tianning, et al.
Published: (2025)

FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems
by: Luo, Shiyuan, et al.
Published: (2023)

Efficient LLM Context Distillation
by: Upadhayaya, Rajesh, et al.
Published: (2024)

Wavelet-Driven Masked Multiscale Reconstruction for PPG Foundation Models
by: Thukral, Megha, et al.
Published: (2026)

Sample Efficient Reinforcement Learning via Large Vision Language Model Distillation
by: Lee, Donghoon, et al.
Published: (2025)