Biosensor is defined as an analytical device that captures the biological signal. It provides medical/healthcare services including early diagnosis of a serious disease and chronic disease monitoring to everybody anywhere, anytime.
The goal of the Biosensor Research Team in ETRI is to promote the medical welfare by developing a portable, low-cost, precise, and environment-friendly medical diagnostic technique/module useful in routine tests and patient homecare.
The developed medical diagnostic biosensor is based on the high technologies such as silicon based fabrication process, nano photonics, plastic based nano-imprint, micro fluidics, biotechnology, and so on.

The team has developed various highly sensitive, and label-free portable biosensors: a ORRB (optical resonance reflection biosensor) biosensor, a CMOS based BioFET (Field Effect Transistor) biosensor, a urinary photonic biosensor. They enable simultaneous diagnosis of various diseases using a small quantity of the blood or urine and the quantitative analysis of the biomarkers. The high sensitivity (pg/ml) of the ORRB and BioFET biosensors can provide very early stage diagnosis.
Since the BioFET biochip is manufactured using the conventional semiconductor process and the ORRB and urinary photonic biochip are fabricated of plastics, they are advantageous for mass-production of the disposable biochip. Additonal research is being conducted on the commercialization of the develop biosensors that automatically analyze patients with the early cancer, myocardial infraction, prostate disease, kidney disease, blood vascular disease, lung disease, and so on.
Research is scheduled on various biosensor such as a breath monitored biosonsor, a flexible biosensor, a non-invasive biosensor, etc for the disease diagnosis and healthcare more painlessly, accurately and easily.

Up to now, at the BT research department, wearable/attachable bio-signal monitoring system (BioShirt/BioPatch) and lung tumor detection software using chest CT images are developed. BioShirt/BioPatch acquires signals such as ECG, acceleration, and body temperature in real-time and provides heart rate, respiratory rate, arrhythmia, step length, number of steps, moving distance, speed, and calorie consumption. Lung tumor detection software automatically detects not only solid-type pulmonary tumor but also GGO-type pulmonary tumor which has a more likelihood of cancer.
In the future, at the BT research department, bio-signal monitoring technique will be adapted to various applications such as exercise management, obesity management, and silver care. Also, in the CAD area, benign/malignant classification technique for lung tumors and breast cancer detection/classification technique using 2D/3D ultra sound images will be developed.


Life Technology Research Team is developing a human activity recognition technology which classifies and analyzes detail activity of elderly.
It automatically recognizes and inferences human activities and provides proactive assistance when necessary.
Life Technology Research Team has developed following technologies and products.
Fall Detecting Phone
It is a Personal Emergency Alarming System that automatically recognizes an emergency situation and requests for help. By detecting a fall with a wearable sensor that recognizes activities of elderly, the phone sends an emergency alarm to hospital (emergency center, 911, etc.) as well as family members. With GPS information in the mobile phone the system can provide location information of elderly for fast rescue.
Life Style Coach
This technology guides and supports elderly people to maintain well balanced Life Style. With the technology that automatically recognizes Activity of Daily Living at home for elderly, we can analyzes and detect abnormal activities that can worsen health status of elderly people. By recognizing abnormal activities which can be an early signs of the disorders the system can guides and help elderly people to be in normal life style and consequently it prevents ill health beforehand.
Proactive Health Technology
By sensing user’s activities and status, one can inference current context. With the context information of user the system can suggest next step of activity which can be forgetful easily among elderly people in particular. As an application of this technology we have developed PROMES (PROactive MEdication System) that helps elderly to take right medicine at the right time with proper manner.
We have developed U-Health Platform based on IEEE 11073 PHD/ISO TC215 and HL7 CDA(Clinical Document Architecture). It consists of (1) universal adapter which makes non-standard device into standard one, (2) home health gateway (3) universal health manager which is a server system that manages u-health data, devices as well as users.
Neural interface technology is the sum of physicochemical technologies interfacing electronics & nervous system for recording & stimulating nervous system. It aims at the rehabilitation of disabled or the restoration of lost neural functions, the provision of new interfaces for controlling hardwares, and ultimately the human performance enhancement. The enhancement of intelligent information processing is pursued through the understanding of intelligence & development of biologically inspired hardware system.
Currently, we are developing implantable closed-loop functional electrical stimulation system which can be operated standalone without help from medical experts. Much efforts are focusing on the development of neurophilic neural electrodes & implantable wireless information processing systems.
We have also started to develop neural electrodes for interfacing peripheral nerves that are expected to be highly useful for controlling artificial prosthetic hands or bladder-voiding system.
We are undertaking development of chemical surface modification technology for the realization of artificial synapse through international co-operation program with Juelich institute, Germany.
