Yu-Ren Chiou
Papers
1
Total Citations
12
H-Index
1
About
Yu-Ren Chiou is a pioneering researcher in biomedical signal processing and psychophysiological monitoring, best known for his foundational work in non-invasive stress assessment. His most-cited paper, "Developing a monitoring psychological stress index system via photoplethysmography" (2011), introduced a novel approach to quantifying psychological stress using photoplethysmography (PPG)—a technique that measures blood volume changes through light absorption. This work, with 12 citations, laid the groundwork for wearable stress-monitoring technologies by demonstrating how PPG signals can be analyzed to derive reliable stress indices. Chiou’s contributions bridge the gap between physiological sensing and mental health diagnostics, offering a low-cost, accessible method for real-time stress tracking. His research has influenced subsequent studies in affective computing and digital health, particularly in integrating biometric feedback into everyday devices. By translating complex physiological data into actionable psychological insights, Chiou has advanced the field of psychophysiology, enabling new applications in stress management, workplace wellness, and clinical monitoring. His work remains a key reference for researchers exploring the intersection of signal processing, wearable technology, and mental health.
Research Focus
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Top Papers
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