Chi-Yuan Chan

National Cheng Kung University

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Pi‐Shan Sung

National Cheng Kung University Hospital

Chih‐Lung Lin

National Cheng Kung University

Yuan-Hao Ho

National Cheng Kung University

Chien‐Hsu Chen

National Cheng Kung University

Yu-Hsien Lu

National Cheng Kung University

Minjiao Wu

Zhejiang Taizhou Hospital

Mu Lin

Baoshan College

Cheng-Yi Huang

National Cheng Kung University

Wesley Lai

Plymouth Hospital

Nan-Song Chou

Chi Mei Medical Center

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National Cheng Kung University

Chang Gung University

National Tsing Hua University

Kaohsiung Medical University

National Taiwan University

National Ilan University

National Cheng Kung University Hospital

Kaohsiung Chang Gung Memorial Hospital

Shu-Te University

Tainan University of Technology

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Intrathoracic migration of Kirschner wires.

PubMed (1994)

Nan-Song Chou Minjiao Wu Chi-Yuan Chan Wesley Lai Mu Lin

Kirschner wire

Thoracotomy

Thorax (insect anatomy)

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Citations (40)

A Highly Reliable Ultrasonic Sensor-Based Bed-Exit Detection System for the Elderly With Early Notification

IEEE Sensors Letters (2023)

Chih‐Lung Lin Po-Ting Lee Yuan-Hao Ho Zong-Lin Yang Yu-Hsien Lu

This work presents a real-time bed-exit alarm system using ultrasonic sensors, infrared (IR) sensors, and an accelerometer. The ultrasonic sensors detect the elderly in bed; the IR sensors detect the motion of the elderly across the gap at the end of the bed, and the accelerometer detects the bed rail being lowered. To achieve early notification, one-against-one support vector machine classifiers are implemented to recognize the early stages of bed-exit events with a sensitivity of 97.7% and a precision of 93.8%. The proposed system is verified with ten elderly subjects and provides an average lead time of 11.4 s for real bed-exit events, indicating that the proposed system has the ability to issue early warnings to caregivers for immediate assistance.

Motion sensors

Notification system

10.1109/lsens.2023.3336647

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Time-of-flight Sensor-based Wearable System for Trip-hazard Environment Detection

2022 IEEE 11th Global Conference on Consumer Electronics (GCCE) (2024)

Chi-Yuan Chan Cheng-Yi Huang Yuan-Hao Ho Pi‐Shan Sung Chien‐Hsu Chen

10.1109/gcce62371.2024.10760888

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