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1987 UCLA ¹æ¹®±³¼ö
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Biomedical Signal and Information Laboratory mainly do the researches on application of biological signals and information for the diagnosis of diseases and monitoring of health status. Signal covers most of measured data from the subject by various methods including sampled data, time series, static images and moving images. These signals are measured through appropriate sensors and represented as digital data in computer. Information means valuable quantitative or qualitative data that can be used directly to the diagnosis and therapy of diseases. So, to get valuable information from the measured raw signals, we need to apply many kinds of signal processing and analysis methods. After series of experiments and verifications, this whole procedure from measurement of signal to information representation proceed to the development of medical instrument for practical and clinical use. These works are also for the people not in diseased state as well as for the diseased. Disease diagnosis and health monitoring are the area that are focusing. So, we can summarize that we are doing researches on biomedical signals and information toward our healthy future.

Nonintrusive Measurement

Non-contacting Biological signal Measurement
Blood Pressure Measurement without Patient's Awareness
Nonintrusive Body Impedance Analysis
Unconstrained Physiological Signal Monitoring using Air Mattress

Biomedical Signal Processing and Analysis

Movement Disorder Analysis
Spatiotemporal Imaging of Electromagnetic Activities
HRV Analysis during Daily Activities
Urine Components Analysis using Raman Spectroscopy

Medical Image Processing

Diffusion Tensor Imaging

Medical Instrumentation

Digital Polysomnography
Head Mounted Pupillography System
Pathological Voice Analysis

Ubiquitous Healthcare

Non-Intrusive Physiological Signal Measurement at Home
Application of PPG for Ubiquitous Healthcare