Large-scale Training of Foundation Models for Wearable Biosignals

Large-scale Training of Foundation Models for Wearable Biosignals

8 December 2023

Salar Abbaspourazad

Oussama Elachqar

Andrew C. Miller

Udhyakumar Nallasamy

Papers citing "Large-scale Training of Foundation Models for Wearable Biosignals"

14 / 14 papers shown

Title
Towards a Foundation Model for Communication Systems Davide Buffelli Sowmen Das Yu-Wei Lin Sattar Vakili Chien-Yi Wang Masoud Attarifar Pritthijit Nath Da-shan Shiu 9 0 0 20 May 2025
Smart Ankleband for Plug-and-Play Hand-Prosthetic Control Dean Zadok Oren Salzman A. Wolf A. Bronstein 55 0 0 22 Mar 2025
GPT-PPG: A GPT-based Foundation Model for Photoplethysmography Signals Zhaoliang Chen C. Ding Saurabh Kataria Runze Yan Minxiao Wang Randall J Lee Xiao Hu LM&MA MedIm 75 0 0 11 Mar 2025
OpenECG: Benchmarking ECG Foundation Models with Public 1.2 Million Records Zhijiang Wan Qianhao Yu Jia Mao Wenfeng Duan Cheng Ding 39 0 0 02 Mar 2025
LEAD: Large Foundation Model for EEG-Based Alzheimer's Disease Detection Yihe Wang Nan Huang Nadia Mammone Marco Cecchi Xiang Zhang 79 0 0 02 Feb 2025
Wearable Accelerometer Foundation Models for Health via Knowledge Distillation Salar Abbaspourazad Anshuman Mishra Joseph D. Futoma Andrew C. Miller Ian Shapiro 90 0 0 15 Dec 2024
PaPaGei: Open Foundation Models for Optical Physiological Signals Arvind Pillai Dimitris Spathis F. Kawsar Mohammad Malekzadeh VLM 39 7 0 27 Oct 2024
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking Yuwei Zhang Tong Xia Jing Han Yu Wu Georgios Rizos Yang Liu Mohammed Mosuily Jagmohan Chauhan Cecilia Mascolo AI4CE 41 6 0 23 Jun 2024
Unlocking Telemetry Potential: Self-Supervised Learning for Continuous Clinical Electrocardiogram Monitoring Thomas Kite Uzair Tahamid Siam Brian Ayers Nicholas Houstis Aaron D Aguirre 45 1 0 07 Jun 2024
The first step is the hardest: Pitfalls of Representing and Tokenizing Temporal Data for Large Language Models Dimitris Spathis F. Kawsar AI4TS 36 18 0 12 Sep 2023
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank Q. Garrido Randall Balestriero Laurent Najman Yann LeCun SSL 68 73 0 05 Oct 2022
Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals Xiang Lan Dianwen Ng linda Qiao Mengling Feng OOD 51 51 0 18 Sep 2021
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data Demetres Kostas Stephane Aroca-Ouellette Frank Rudzicz SSL 46 202 0 28 Jan 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 264 4,489 0 23 Jan 2020