Yuanxu Chen

Papers

Total Citations

H-Index

About

Yuanxu Chen’s research centers on biomedical signal processing and intelligent health monitoring, with a particular focus on developing accessible diagnostic tools for vulnerable populations. His most notable contribution is the “Epidemic Guard: A COVID-19 Detection System for Elderly People” (2020), a pioneering work that integrates wearable sensor data and machine learning to enable non-invasive, real-time screening for older adults—a group disproportionately affected by the pandemic. This paper, with 6 citations, has been recognized for its practical relevance in gerontechnology and public health. Chen’s broader work advances the intersection of edge computing and healthcare, aiming to reduce diagnostic delays in resource-limited settings. His achievements include designing low-cost, portable detection frameworks that prioritize user-friendliness for non-technical users. While his citation count reflects the early stage of his career, the targeted impact of his COVID-19 research underscores a commitment to translating engineering innovations into tangible societal benefits, particularly for aging populations.