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Fall-from-Bed Risk Prediction Using Physics-Based Bed Simulation
Fall-from-bed is a critical safety issue in hospitals and long-term care; however, large-scale real-fall data are rare, and collecting …
Jaeyong Kim
,
Hyeonwoo Kim
,
Jihwan Won
,
Jiwoon Lee
,
Hyeonjung Kim
,
Sunwoo Yeon
,
Ryanghee Sohn
,
Youngho Cho
,
Cheolsoo Park
PDF
DOI
Quaternion-based CNN for heart rate prediction from PPG
This study aims to extract physiological information from facial images using remote photoplethysmography(rPPG), particularly heart …
Junghwan Lee
,
Youngshin Kang
,
Yusang Nam
,
Hyuntae Lee
,
Danilo Mandic
,
Cheolsoo Park
PDF
DOI
Multi-task learning for estimation of remote PPG and respiration signals with complex valued convolutional neural network
Remote and continuous biometric signal monitoring has become increasingly crucial for the prompt diagnosis of physiological disorders. …
Junghwan Lee
,
Yusang Nam
,
Jihwan Won
,
Suhwan-Baek
,
Donggyu Sim
,
Ryanghee Sohn
,
Cheolsoo Park
PDF
DOI
Deep Reinforcement Learning-Based Adaptive Bandpass Filter With Reconfigurable Frequency and Bandwidth
This letter proposes a novel adaptive bandpass filter with reconfigurable center frequency and bandwidth (BW) based on a deep Q-network …
Youngho Cho
,
Cheolsoo Park
PDF
DOI
Designing a Remote Photoplethysmography-Based Heart Rate Estimation Algorithm During a Treadmill Exercise
Remote photoplethysmography is a technology that estimates heart rate by detecting changes in blood volume induced by heartbeats and …
Yusang Nam
,
Junghwan Lee
,
Jihong Lee
,
Hyuntae Lee
,
Dongwook Kwon
,
Minsoo Yeo
,
Sayup Kim
,
Ryanghee Sohn
,
Cheolsoo Park
PDF
DOI
Designing Spiking Neural Network-Based Reinforcement Learning for 3D Robotic Arm Applications
This study investigates a novel approach to robotic arm control through integrating spiking neural networks with the twin delayed deep …
Yuntae Park
,
Jiwoon Lee
,
Donggyu Sim
,
Youngho Cho
,
Cheolsoo Park
PDF
DOI
Dual-Band Absorptive Bandpass Filters Using a Dual-Behavior Matching Section
This study introduces a dual-band absorptive bandpass filter that employs a dual-behavior matching section. The proposed design …
Youngho Cho
,
Cheolsoo Park
PDF
DOI
Regression Model Employing Spiking Neural Network for Bio-Signal Analysis With Hardware Integration
Spiking neural networks, known for mimicking the brain’s functionality resulting in efficient algorithms, are gaining attention across …
Choongseop Lee
,
Geunbo Yang
,
Jaewoo-Beak
,
Yuntae Park
,
Mingyu Cheon
,
Jongkil Park
,
Cheolsoo Park
PDF
DOI
Brain-inspired learning rules for spiking neural network-based control: a tutorial
Robotic systems rely on spatio-temporal information to solve control tasks. With advancements in deep neural networks, reinforcement …
Choongseop Lee
,
Yuntae Park
,
Sungmin-Yoon
,
Jiwoon Lee
,
Youngho Cho
,
Cheolsoo Park
PDF
DOI
Tunable Absorptive Dual Notch Filters Using a Stub-Loaded Coupled Line with an Inductor
This paper presents tunable absorptive dual-notch filters using a stub-loaded coupled line with an inductor. The two-pole Butterworth …
Youngho Cho
,
Cheolsoo Park
,
Sangwon Yun
PDF
DOI
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