TY - GEN
T1 - Design and Baseline Drift Compensation for Respiratory Acquisition Devices
AU - Wen, Hao
AU - He, Rui
AU - Chen, Xiangqian
AU - Li, Changsheng
AU - Duan, Xingguang
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - Existing respiratory gating devices are either contact-based or non-contact-based. Contact-based methods measure physical changes from respiratory movements through direct body contact, while non-contact methods do not. Two main issues arise: (1) Varying surface movements across different body regions (abdomen, chest, back, sides) complicate standardization; (2) Surface movement is not strictly correlated with respiratory gases, as significant gas exchange may occur with minimal surface movement at the end of inhalation or exhalation. To address these challenges, this paper presents a respiratory flow monitoring device and a respiratory drift limit compensation algorithm, providing accurate reflection of the patient’s respiratory condition.
AB - Existing respiratory gating devices are either contact-based or non-contact-based. Contact-based methods measure physical changes from respiratory movements through direct body contact, while non-contact methods do not. Two main issues arise: (1) Varying surface movements across different body regions (abdomen, chest, back, sides) complicate standardization; (2) Surface movement is not strictly correlated with respiratory gases, as significant gas exchange may occur with minimal surface movement at the end of inhalation or exhalation. To address these challenges, this paper presents a respiratory flow monitoring device and a respiratory drift limit compensation algorithm, providing accurate reflection of the patient’s respiratory condition.
KW - Baseline Drift Compensation
KW - Respiratory Acquisition
UR - http://www.scopus.com/inward/record.url?scp=85214379247&partnerID=8YFLogxK
U2 - 10.1007/978-981-97-8963-4_3
DO - 10.1007/978-981-97-8963-4_3
M3 - Conference contribution
AN - SCOPUS:85214379247
SN - 9789819789627
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 21
EP - 28
BT - Social Robotics - 16th International Conference, ICSR + BioMed 2024, Proceedings
A2 - Ge, Shuzhi Sam
A2 - Ji, Ruihang
A2 - Luo, Zhuojing
A2 - Wang, Yanen
A2 - Samani, Hooman
A2 - He, Hongsheng
PB - Springer Science and Business Media Deutschland GmbH
T2 - 16th International Conference on Social Robotics, ICSR + BioMed 2024
Y2 - 16 August 2024 through 18 August 2024
ER -