BROWSE
Detail
Journal Article
생체신호 분석 기술의 현황과 파운데이션 모델 기반 발전 방향
- Issue Date
- 2026-08
- Citation
- 전자통신동향분석, v.41, no.4, pp.52-62
- ISSN
- 1225-6455
- Publisher
- 한국전자통신연구원
- Language
- Korean
- Type
- Journal Article
- Abstract
- Biosignals are measurable signals originating from biological systems, encompassing the electrical activity of the nervous system, muscles, and heart, as well as physiological responses such as changes in blood flow and skin conductance. Representative modalities, including electroencephalography (EEG), electrocardiography (ECG), and electromyography (EMG), are widely used in clinical diagnosis, human–computer interfaces, and digital healthcare. Conventional biosignal analysis pipelines typically involve data acquisition, preprocessing, and algorithmic modeling. However, many existing approaches are application-specific and are trained on limited datasets, resulting in restricted generalization and scalability. Recently, foundation models based on large-scale pre-training have emerged as a promising paradigm for learning transferable representations. This report reviews the landscape of biosignal analysis and discusses research directions for foundation-model-based approaches toward more generalizable and robust biosignal intelligence.
- Keyword
- Biosignals, Foundation Models, 생체신호, 파운데이션 모델
- KSP Keywords
- Application-specific, Biological systems, Biosignal analysis, Blood Flow, Clinical diagnosis, Computer interface, Data Acquisition(DAQ), Digital healthcare, Electromyography (emg), Existing Approaches, Model-based approaches
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
