ScholarWorks@SOONCHUNHYANG UNIVERSITY: Min, Se Dong

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Min, Se Dong (민세동)

College of Software Convergence (의료IT공학과)

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gait:4||Conductive Textile:3||Textile Capacitive Pressure Sensor:3||conductive textile:3||Usablity and Wearablity test:2||Consumer needs:2||Conductive textile:2||Smart clothing.:2||wearable sensor:2||Gait:2||Respiration monitoring:2||knee joint angle:2||machine learning:2||construction site:2||어지럼증:2||Capacitive sensor:1||Cell Counting:1||Cell Cycle:1||Cell Segmentation:1||Construction site:1||Convolution neural network:1||Convolutional neural network:1||Data transmission scheme:1||Degree of Membership:1||Derivative photoplethysmography:1||Dizziness:1||EEG:1||EfficientNet v2:1||Energy detection:1||Exhale visualization:1||Foot:1||Footwear:1||Fuzzy Evaluation:1||Gait analysis:1||HUD:1||Heart sound:1||Hilbert transform:1||ICF:1||Indoor positioning:1||Innovation diffusion theory:1||Internet of Things sensor:1||Interval regulation:1||Knee:1||Legged locomotion:1||Localization:1||Low cost:1||Magnetic field sensor:1||Medication adherence:1||Medication management:1||Mobile application for assistive devices:1||Monitoring application:1||Neural networks:1||Paretic hand management:1||Phonocardiogram (PCG):1||Photoplethysmography (PPG):1||Pill case:1||Plantar pressure image:1||Plantar pressure index:1||Position evaluation:1||Posture:1||Posture Correction.:1||Proximity sensor:1||Pulse pressure:1||RSSI:1||Railway:1||Safety:1||Safety Management System:1||Sensors:1||Sitting Posture:1||Situation:1||Smart Healthcare:1||Smart Helmet:1||Smart Medical:1||Software:1||Stairs:1||Step Count:1||Stroke:1||Survey:1||Sustainable:1||Systolic blood pressure:1||Telemedicine:1||Treatment Plan:1||Velostat pressure sensor:1||Vessel wall movement:1||Vestibular rehabilitation training:1||Walking training:1||Wearable device:1||Worker:1||airbubble:1||artificial neural network:1||atrial fibrillation:1||blockchain:1||breast cancer:1||capacitive pressure sensor:1||center of pressure:1||chest Xray image:1||construction:1||data mining:1||deep learning:1||deeplearning:1||delegated proof of node:1||fall:1||fatigue:1||fault tolerance:1||foot plantar pressure:1||foot pressure mapping:1||footwear:1||gait speed:1||gender:1||hemiparetic:1||insole:1||kinematic:1||kinetic features:1||microcrack:1||mobile agent:1||monitoring:1||multiagent:1||multiclass classification:1||neural network:1||noncontact exhale analysis:1||noninvasive monitoring:1||phase coordination index:1||photoplethysmography:1||physiological signals:1||public IoT service:1||quantitative exhale analysis:1||realtime monitoring:1||regression:1||relative entropy:1||respiration measurement:1||restorative materials:1||safety helmet:1||shoe type:1||sittostand:1||smart helmet:1||smart insole:1||smart shoes:1||smartphone:1||stairs:1||stroke:1||synchronization:1||synchrotron radiation:1||textile capacitive pressure sensor:1||textile capacitive sensor:1||thermal camera:1||threeaxis accelerometer sensor:1||transfer learning:1||walking:1||wireless sensor networks:1||worker safety:1||workload:1||가상현실:1||건강:1||바이오영상 분석 자동화:1||보행:1||보행횟수:1||보행훈련:1||블루투스 통신:1||비콘:1||사용성 및 착용성 평가:1||설문조사:1||세포 계수:1||세포 분할:1||세포 주기:1||소비자 수요:1||스마트 안전모:1||스마트 의류:1||안드로이드:1||안전관리 시스템:1||원격의료:1||웨어러블:1||의공학:1||자세:1||재활훈련 콘텐츠:1||전기용량성 섬유 압력 센서:1||전기용량성압력센서:1||전도성 섬유:1||전정재활:1||증강현실:1||헬스케어:1||혁신확산이론:1||1D signal data analysis:1||호흡 모니터링:1||ANOVA:1||Accelerometer:1||Age:1||Android:1||Arrhythmia:1||Assistive devices:1||Augmented Reality:1||BLE Beacons:1||Barometer:1||BioImage Automated Analysis:1||Bluetooth:1||Bluetooth Communication:1||CO2 exhale flow:1||Capacitive Proximity Sensor:1||

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(31538) 22, Soonchunhyang-ro, Asan-si, Chungcheongnam-do, Republic of Korea+82-41-530-1114

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