Query：
所有字段：(空)
Refining：
Year
Type
Indexed by
Source
Complex
Co-
Language
Clean All
Abstract ：
In electrocardiograms (ECGs), multiple forms of encryption and preservation formats create difficulties for data sharing and retrospective disease analysis. Additionally, photography and storage using mobile devices are convenient, but the images acquired contain different noise interferences. To address this problem, a suite of novel methodologies was proposed for converting paper-recorded ECGs into digital data. Firstly, this study ingeniously removed gridlines by utilizing the Hue Saturation Value (HSV) spatial properties of ECGs. Moreover, this study introduced an innovative adaptive local thresholding method with high robustness for foreground-background separation. Subsequently, an algorithm for the automatic recognition of calibration square waves was proposed to ensure consistency in amplitude, rather than solely in shape, for digital signals. The original signal reconstruction algorithm was validated with the MIT-BIH and PTB databases by comparing the difference between the reconstructed and the original signals. Moreover, the mean of the Pearson correlation coefficient was 0.97 and 0.98, respectively, while the mean absolute errors were 0.324 and 0.241, respectively. The method proposed in this study converts paper-recorded ECGs into a digital format, enabling direct analysis using software. Automated techniques for acquiring and restoring ECG reference voltages enhance the reconstruction accuracy. This innovative approach facilitates data storage, medical communication, and remote ECG analysis, and minimizes errors in remote diagnosis.
Keyword ：
ECG data recovery ECG data recovery ECG signal extraction ECG signal extraction image distortion correction image distortion correction signal reconstruction signal reconstruction uneven light correction uneven light correction
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Wang, Liang-Hung , Xie, Chao-Xin , Yang, Tao et al. Paper-Recorded ECG Digitization Method with Automatic Reference Voltage Selection for Telemonitoring and Diagnosis [J]. | DIAGNOSTICS , 2024 , 14 (17) . |
| MLA | Wang, Liang-Hung et al. "Paper-Recorded ECG Digitization Method with Automatic Reference Voltage Selection for Telemonitoring and Diagnosis" . | DIAGNOSTICS 14 . 17 (2024) . |
| APA | Wang, Liang-Hung , Xie, Chao-Xin , Yang, Tao , Tan, Hong-Xin , Fan, Ming-Hui , Kuo, I-Chun et al. Paper-Recorded ECG Digitization Method with Automatic Reference Voltage Selection for Telemonitoring and Diagnosis . | DIAGNOSTICS , 2024 , 14 (17) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Sleep apnea syndrome episodes may induce high-risk complications such as pulmonary hypertension, cardiac arrhythmia, respiratory failure, and hypertension. It is of great significance to apply neural networks for efficient automatic diagnosis of sleep apnea syndrome. We propose a transfer learning-based classification model for sleep apnea syndrome using ECG signals and respiratory signals, which results in a 91.26% accuracy in recognizing three types of sleep apnea syndrome.
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Liu, Pei-Dong , Wang, Liang-Hung , Li, Xin et al. Multi-classification of Sleep Apnea Syndrome Based on Transfer Learning [J]. | 2024 11TH INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN, ICCE-TAIWAN 2024 , 2024 : 581-582 . |
| MLA | Liu, Pei-Dong et al. "Multi-classification of Sleep Apnea Syndrome Based on Transfer Learning" . | 2024 11TH INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN, ICCE-TAIWAN 2024 (2024) : 581-582 . |
| APA | Liu, Pei-Dong , Wang, Liang-Hung , Li, Xin , Huang, Pao-Cheng , Fan, Ming-Hui . Multi-classification of Sleep Apnea Syndrome Based on Transfer Learning . | 2024 11TH INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN, ICCE-TAIWAN 2024 , 2024 , 581-582 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
The application of artificial intelligence in electrocardiogram (ECG) diagnosis holds substantial significance. Most ECG classification methods concatenate 12-lead ECG into a 2-D matrix for model input. This study proposed a multi-branch and multi-class model for arrhythmias classification. The model utilizes selective kernel block to independently extract features from each lead, which are fed into Bi-LSTM for fusion. Additionally, batch-free normalization module is employed to reduce estimation shift. Finally, the proposed model achieved an accuracy of 0.871 and a macro F1 score of 0.841 in identifying nine types of arrhythmias.
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Wang, Yu , Yang, Tao , Xie, Chao-Xin et al. Multi-lead Branch Multi-class Arrhythmias Classification Based on Selective Kernel Block [J]. | 2024 11TH INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN, ICCE-TAIWAN 2024 , 2024 : 575-576 . |
| MLA | Wang, Yu et al. "Multi-lead Branch Multi-class Arrhythmias Classification Based on Selective Kernel Block" . | 2024 11TH INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN, ICCE-TAIWAN 2024 (2024) : 575-576 . |
| APA | Wang, Yu , Yang, Tao , Xie, Chao-Xin , Fan, Ming-Hui , Kuo, I-Chun , Wang, Xin-Kang et al. Multi-lead Branch Multi-class Arrhythmias Classification Based on Selective Kernel Block . | 2024 11TH INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN, ICCE-TAIWAN 2024 , 2024 , 575-576 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Prehypertension is difficult to diagnose early because of its hidden nature. Long-term monitoring of blood pressure (BP) can help in the early detection and timely treatment of this condition. This study proposes an innovative and efficient BP detection platform that combines portable electrocardiography (ECG) and photoplethysmogram (PPG) signals simultaneous acquisition equipment and BP detection algorithm to obtain real-time BP values conveniently and accurately for a long time. In this study, nine kinds of feature parameters and classification algorithm are used to build multiple linear regression (MLR) models. It not only adopts the multiparameter intelligent monitoring in intensive care units (MIMIC-II) database to train and validate the model but also uses self-developed equipment for acquisition and verification in long-term health monitoring. According to the experimental results, the mean absolute error (MAE) and standard deviation (SD) of systolic BP (SBP) have estimated values of 4.46 and 3.20 mmHg, respectively, and simultaneously, the MAE and SD of diastolic BP (DBP) are 4.20 and 3.28 mmHg, respectively. Moreover, both SBP and DBP experimental results conform to the Advancement of Medical Instrumentation (AAMI) BP standard. The proposed BP acquisition platform is proven to be capable of easily acquiring ECG and PPG signals with the proposed sensor device, and the MLR algorithm can also effectively and accurately monitor BP values for a long time.
Keyword ：
Biomedical monitoring Biomedical monitoring Electrocardiography Electrocardiography Electrocardiography (ECG) Electrocardiography (ECG) Feature extraction Feature extraction Monitoring Monitoring multiple linear regression (MLR) multiple linear regression (MLR) noninvasive continuous blood pressure (BP) measurement noninvasive continuous blood pressure (BP) measurement photoplethysmogram (PPG) photoplethysmogram (PPG) Physiology Physiology Predictive models Predictive models pulse wave arrival time (PAT) pulse wave arrival time (PAT) Sensors Sensors
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Wang, Liang-Hung , Sun, Kun-Kun , Xie, Chao-Xin et al. Cuffless Blood Pressure Estimation Using Dual Physiological Signal and Its Morphological Features [J]. | IEEE SENSORS JOURNAL , 2023 , 23 (11) : 11956-11967 . |
| MLA | Wang, Liang-Hung et al. "Cuffless Blood Pressure Estimation Using Dual Physiological Signal and Its Morphological Features" . | IEEE SENSORS JOURNAL 23 . 11 (2023) : 11956-11967 . |
| APA | Wang, Liang-Hung , Sun, Kun-Kun , Xie, Chao-Xin , Fan, Ming-Hui , Abu, Patricia Angela R. , Huang, Pao-Cheng . Cuffless Blood Pressure Estimation Using Dual Physiological Signal and Its Morphological Features . | IEEE SENSORS JOURNAL , 2023 , 23 (11) , 11956-11967 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
This study presents the design of a PPG and ECG synchronous acquisition system based on NRF52832. The synchronous acquisition of pulse wave signal and ECG signal is achieved by designing PPG circuit and ECG circuit, while data integration and Bluetooth transmission are realized by NRF52832. Finally, the collected data are input into the trained classification model for BP prediction, and the device achieves wearable, synchronous and real-time acquisition. The experimental results show that the signals acquired by the device can be used for noninvasive continuous BP prediction. © 2023 IEEE.
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Chen, H.-D. , Wang, L.-H. , Fan, M.-H. et al. Design of PPG and ECG synchronous acquisition system based on NRF52832 [未知]. |
| MLA | Chen, H.-D. et al. "Design of PPG and ECG synchronous acquisition system based on NRF52832" [未知]. |
| APA | Chen, H.-D. , Wang, L.-H. , Fan, M.-H. , Sun, K.-K. , Chen, C.-H. , Liu, C.-F. et al. Design of PPG and ECG synchronous acquisition system based on NRF52832 [未知]. |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
随着生活越来越美好，人们对于人体健康情况非常重视。本文结合生物医疗领域的应用背景，设计了一款应用于人体温度监测的RFID电子标签芯片，提出一种适合于无源UHF RFID系统的基准电源电路，并且LDO的反馈网络采用的是二极管连接方式的PMOS有源电阻，相比传统的无源电阻，大大减小了面积以及功耗。张弛振荡器采用不同类型的电阻抵消温度偏差，并且通过一种电流镜阵列校准电路，采用自校准算法对时钟电路工艺角偏差进行校准，大大提高了时钟电路输出频率的精度。ASK解调电路采用反馈分压调节结构，能同时缩小调制信号的高低电平，增大了电子标签的灵活性。本文基于SMIC0.18μm CMOS Mixed Signal工艺，设计了一款应用于人体温度监测的全无源超高频标签。设计的RFID标签功耗小于10μW，时钟电路输出频率的精度为±1%。
Keyword ：
RFID RFID 人体温度 人体温度 时钟校准 时钟校准
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 樊明辉 , 许晴昊 , 潘拯 et al. UHF RFID标签芯片研究 [J]. | 微纳电子与智能制造 , 2023 , 5 (04) : 29-35 . |
| MLA | 樊明辉 et al. "UHF RFID标签芯片研究" . | 微纳电子与智能制造 5 . 04 (2023) : 29-35 . |
| APA | 樊明辉 , 许晴昊 , 潘拯 , 王量弘 , 赖华玲 , 江浩 . UHF RFID标签芯片研究 . | 微纳电子与智能制造 , 2023 , 5 (04) , 29-35 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
The application of artificial intelligence to the diagnosis of ECG is of great significance. We combine machine learning algorithm with deep learning algorithm to give full play to the advantages of different algorithms by ensemble learning. Finally, we fuse the selected models so that the accuracy of identifying five kinds of arrhythmias can reach 94%. Particularly, the accuracy of class F beat which is difficult to identify has also been improved. © 2022 IEEE.
Keyword ：
Deep learning Deep learning Electrocardiograms Electrocardiograms Learning algorithms Learning algorithms
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Xie, Chao-Xin , Fan, Ming-Hui , Wang, Liang-Hung et al. An Integration Method for ECG Multi-Classification [C] . 2022 : 559-560 . |
| MLA | Xie, Chao-Xin et al. "An Integration Method for ECG Multi-Classification" . (2022) : 559-560 . |
| APA | Xie, Chao-Xin , Fan, Ming-Hui , Wang, Liang-Hung , Huang, Pao-Cheng . An Integration Method for ECG Multi-Classification . (2022) : 559-560 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
心电监测是临床应用中的常规监测手段,通过观察心电活动、心电波形的变化可诊断心肌损伤、心肌缺血和电解质紊乱,其中,针对心电图QRS波群的检测具有重要的临床意义.本文利用基于窗口最值的自适应阈值法,提出了QRS波群检测算法,包括对心电图中R波形态进行检测,并利用MIT-BIH心律失常数据库验证R波定位的准确率(97.63％).在完成R波检测的基础上,采用最值法并通过斜率限定搜寻Q波和S波.在完成QRS波定位后,根据P波和T波的形态学特征对其进行检测和定位.
Keyword ：
QRS波群检测 QRS波群检测 心电信号 心电信号 心电数据库 心电数据库 算法 算法
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 樊明辉 , 汪敏 , 陈良基 et al. 一种心电信号QRS波群检测算法研究 [J]. | 实用心电学杂志 , 2022 , 31 (6) : 399-404 . |
| MLA | 樊明辉 et al. "一种心电信号QRS波群检测算法研究" . | 实用心电学杂志 31 . 6 (2022) : 399-404 . |
| APA | 樊明辉 , 汪敏 , 陈良基 , 王量弘 , 黄宝震 , 王新康 . 一种心电信号QRS波群检测算法研究 . | 实用心电学杂志 , 2022 , 31 (6) , 399-404 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
In this paper, an eight-layer wavelet decomposition based on the wavelet basis of bior2.6 is designed, and the noise interference on ECG signal is filtered out effectively. In the aspect of R-wave position detection, an improved algorithm of adaptive slope threshold and adaptive high-frequency signal integration threshold is proposed and the precision rate 99.6% has obtained in MIT-BIH database. © 2022 IEEE.
Keyword ：
Electrocardiography Electrocardiography Wavelet decomposition Wavelet decomposition
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Sun, Kun-Kun , Xie, Chao-Xin , Kuo, I-Chun et al. A Method for ECG R-wave Denoising and Detecting [C] . 2022 : 557-558 . |
| MLA | Sun, Kun-Kun et al. "A Method for ECG R-wave Denoising and Detecting" . (2022) : 557-558 . |
| APA | Sun, Kun-Kun , Xie, Chao-Xin , Kuo, I-Chun , Fan, Ming-Hui , Huang, Pao-Cheng , Wang, Liang-Hung . A Method for ECG R-wave Denoising and Detecting . (2022) : 557-558 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
随着高血压患者的日益增多,全天候血压监护的需求日渐增长,做到能够快速、及时、方便地进行血压监测成为了当下热门的研究课题.基于脉搏波速法的无创连续血压监测系统提供了一个很好的研究方向,通过便携式的可穿戴设备采集人体生理信号,借由多元线性回归建立一个生理信号的特征参数与血压的模型,可以实现实时无创连续血压监测,打造了一个无创连续血压监测的系统平台.
Keyword ：
nRF52832 nRF52832 可穿戴式设计 可穿戴式设计 多元线性回归 多元线性回归 无创连续 无创连续 血压监测 血压监测
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 岳铭楷 , 黄宝震 , 樊明辉 et al. 基于脉搏波速法的无创连续血压系统设计 [J]. | 单片机与嵌入式系统应用 , 2021 , 21 (9) : 78-82 . |
| MLA | 岳铭楷 et al. "基于脉搏波速法的无创连续血压系统设计" . | 单片机与嵌入式系统应用 21 . 9 (2021) : 78-82 . |
| APA | 岳铭楷 , 黄宝震 , 樊明辉 , 王量弘 . 基于脉搏波速法的无创连续血压系统设计 . | 单片机与嵌入式系统应用 , 2021 , 21 (9) , 78-82 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Export
| Results： |
Selected to |
| Format： |
