Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Conference on Lasers and Electro-Optics/Europe (CLEO/Europe 2023) and European Quantum Electronics Conference (EQEC 2023)
  • Technical Digest Series (Optica Publishing Group, 2023),
  • paper cl_p_7

Short Time HRV Assessment Based on a Fiber Optic Sensor

Not Accessible

Your library or personal account may give you access

Abstract

In recent years, many countries have been facing the problem of population aging. At the same time, the probability of elderly people suffering from cardiovascular diseases (CVDs) is increasing yearly. Thus, monitoring the heart in daily life is extremely important. Heart rate variability (HRV) is a common phenomenon that the time interval between heartbeat changes to longer or shorter [1]. The different changes are determined by the autonomic nervous system (ANS), which automatically regulates the heart rate, blood sugar, blood pressure, breathing, and body temperature [2,3]. If the ANS is abnormal, the inter-beat intervals (IBIs) variation tends to be shorter. In contrast, the variation tends to be longer if the ANS is more relaxed. Therefore, the HRV monitoring module is necessary for a heart monitoring system.

© 2023 IEEE

PDF Article
More Like This
Non-contact Short-term HRV Analysis of Patients with Premature Beats Based on a Fiber Optic Sensor

Weimin Lyu, Shuyang Chen, Weihao Yuan, Yujian Li, Qing Wang, and Changyuan Yu
Tu4.2 Optical Fiber Sensors (OFS) 2023

Myocardial Contractility Assessment using Fiber Optic Sensors

Weimin Lyu, Fengze Tan, Shuyang Chen, and Changyuan Yu
M4A.152 Asia Communications and Photonics Conference (ACP) 2019

Non-invasive heart rate variability measurement during sleep based on fiber optic sensor

Weimin Lyu, Shuyang Chen, Fengze Tan, and Changyuan Yu
JS3F.2 Optoelectronics and Communications Conference (OECC) 2021

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.