A reliable evaluation approach for multichannel signal denoising algorithms based on a novel arterial pulse acquisition system

降噪 信号(编程语言) 脉搏(音乐) 计算机科学 算法 人工智能 电信 探测器 程序设计语言
作者
Chao Chen,Zhendong Chen,Yuqi Zhou,Yinan Hao,Bo Peng,Xiaohua Xie,Haiqing Xie
出处
期刊:Heliyon [Elsevier BV]
卷期号:10 (5): e26140-e26140 被引量:2
标识
DOI:10.1016/j.heliyon.2024.e26140
摘要

BackgroundTactile sensors are utilized to measure multichannel pulse signals in pulse wave analysis (PWA). Owing to noise interferences, researchers have applied various denoising algorithms on multichannel pulse signals. To comprehensively assess these algorithms, numerous evaluation metrics have been proposed. However, these studies did not investigate the noise mechanisms in depth and lacked reference pulse signals, thus making the evaluations insufficiently objective.Materials and methodsAn applicable denoising evaluation approach for multichannel pulse signal algorithms based on an arterial pulse acquisition system is established by superimposing real-world multichannel noise to the reference signals. The system, comprising a SphygmoCor and a uniaxial noise acquisition device, allows us to acquire single-reference pulse signals as well as real-world multichannel noise.ResultsWe assess eight popular denoising algorithms with three evaluation metrics, including amplitude relative error (ARE), mean square error (MSE) and increased percentage signal-noise ratio (SNR%). Our proposed approach provides accurate and objective evaluations of multichannel pulse signal denoising. Notably, classic algorithms for single-channel denoising are not recommended for multichannel denoising. Comparatively, RPCA-based algorithms can denoise pulse signals independently for each channel.ConclusionThis study sets the stage for the establishment of accurate and objective pulse signal denoising evaluations and provides insights for data-driven clinical diagnoses in cardiovascular medicine.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
lll完成签到,获得积分10
刚刚
sdl完成签到,获得积分10
刚刚
Orange应助孟婆的碗采纳,获得10
1秒前
zhangmy1989发布了新的文献求助30
1秒前
1秒前
清秀的不言完成签到 ,获得积分10
1秒前
杂化轨道退役研究员完成签到,获得积分10
1秒前
FashionBoy应助tanglu采纳,获得10
2秒前
3秒前
闪闪如南完成签到,获得积分10
4秒前
wjxcl完成签到,获得积分10
5秒前
5秒前
5秒前
12233完成签到,获得积分10
6秒前
6秒前
洪武完成签到,获得积分20
6秒前
7秒前
Yuantian发布了新的文献求助10
8秒前
传奇3应助浪花淘尽英雄采纳,获得10
9秒前
流川枫完成签到,获得积分10
9秒前
赘婿应助leo采纳,获得10
9秒前
追寻夏烟完成签到 ,获得积分10
10秒前
闪闪寒云完成签到 ,获得积分10
10秒前
13633501455完成签到 ,获得积分10
11秒前
阿里完成签到,获得积分10
11秒前
蓁蓁发布了新的文献求助10
12秒前
科研通AI5应助加百莉采纳,获得10
12秒前
WELXCNK完成签到,获得积分10
13秒前
GG波波完成签到,获得积分10
14秒前
susu完成签到 ,获得积分10
14秒前
15秒前
15秒前
海阔天空发布了新的文献求助10
16秒前
Loooong发布了新的文献求助10
17秒前
云影箫羽完成签到 ,获得积分10
18秒前
18秒前
顾矜应助gougoutu采纳,获得10
19秒前
生生完成签到,获得积分10
19秒前
温暖芸发布了新的文献求助10
20秒前
芝麻完成签到,获得积分10
21秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
Research on Disturbance Rejection Control Algorithm for Aerial Operation Robots 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038569
求助须知:如何正确求助?哪些是违规求助? 3576279
关于积分的说明 11374944
捐赠科研通 3305979
什么是DOI,文献DOI怎么找? 1819354
邀请新用户注册赠送积分活动 892698
科研通“疑难数据库(出版商)”最低求助积分说明 815048