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780-ArticleText-1373-1-10-20200428.pdf

ganesh E N
2022 figshare.com  
The proposed system acquires ECG signal and extracts the parameterslike PQRST to detect heart abnormalities and a simple remote transmission system is integratedwhere data is recorded and transmitted to  ...  This irregular heartbeats orabnormal PQRST values from ECG tof patient leads to sudden heart attack In this paper wedetect disorders of heart from ECG signal through remote transmission models as a part  ...  Gupta vital in [1] detected ECG signal and disease detected using R Peak detection. In [2] Gupta Mittal used KNN Classifier to detect EGC Signal.  ... 
doi:10.6084/m9.figshare.19450388.v1 fatcat:e4kv3basqfgaxh6vanaubwob3e

Health Monitoring of Human Multiple Physiological Parameters Based on Wireless Remote Medical System

Kai Zhang, Wenjie Ling
2020 IEEE Access  
on dynamic differential threshold peak detection technology.  ...  The results show that the collected human physiological signal data is accurate. After a series of tests, the validity and reliability of the collected physiological signals have been proven.  ...  Because the rise of the respiratory waveform is not as obvious as the R wave of the ECG waveform, for the accuracy of peak detection, a dynamic differential threshold peak detection method is used to detect  ... 
doi:10.1109/access.2020.2987058 fatcat:oxvoovyurza2nh5cjp3ytkfk6m

Performance Study of the Wearable One-Lead Wireless Electrocardiographic Monitoring System

Sungyoup Hong, Yougmo Yang, Seunghwan Kim, Seungcheol Shin, Inbum Lee, Yongwon Jang, Kiseong Kim, Hwayeon Yi, Jangyoung Lee
2009 Telemedicine journal and e-health  
Thus, both of these two ECG devices showed similar detection capability for R peaks. The measured values for wave duration and intervals of both devices concur with each other.  ...  The ECG device using a sensing fabric electrode and a wireless network showed an ECG signal detection and transmission capability similar to that of a conventional ECG device.  ...  Acknowledgments This study was supported by the IT R&D program of MKE/IITA (A1100-0802-0112, Ubiquitous Health Monitoring Module and System Development).  ... 
doi:10.1089/tmj.2008.0071 pmid:19292626 fatcat:mzkedy4ti5awpic7okkjk47vz4

Evaluation of the Accuracy of ECG Captured by CardioChip through Comparison of Lead I Recording to a Standard 12-Lead ECG Recording Device

Chi-In Lo, Sheng-Shiung Chang, Jui-Peng Tsai, Jen-Yuan Kuo, Ying-Ju Chen, Ming-Yuan Huang, Chao-Hsiung Lee, Kuo-Tzu Sung, Chung-Lieh Hung, Charles Jia-Yin Hou, Edward Lai, Hung-I Yeh (+2 others)
2018 Acta Cardiologica Sinica  
detecting abnormal cardiac rhythm with excellent R-peak amplitude (r = 0.98, p < 0.001) and PR interval (r = 0.91, p < 0.001) correlations, indicating excellent correlation between ECG recordings derived  ...  R-peak amplitudes measured both devices using single lead information (CardioChip ECG vs. Lead 1 in standard 12-lead ECG) showed statistical consistency.  ...  Data analysis R-peak amplitudes and PR interval comparison The mean and standard deviation of R-wave amplitudes for the two devices from single lead comparisons between CardioChip derived ECG R-peak  ... 
doi:10.6515/acs.201803_34(2).20170919a pmid:29643700 pmcid:PMC5863068 fatcat:vywkjxda4bcqlotx7jjdd232dy

Evaluation of Remote Photoplethysmography Measurement Conditions toward Telemedicine Applications

Akito Tohma, Maho Nishikawa, Takuya Hashimoto, Yoichi Yamazaki, Guanghao Sun
2021 Sensors  
The results of this study can act as guidelines for setting up the shooting environment and camera settings for rPPG use in telemedicine.  ...  Camera-based remote photoplethysmography (rPPG) is a low-cost and casual non-contact heart rate measurement method suitable for telemedicine.  ...  On the other hand, the standard deviation of the R-peak can be ±5 ms for 100 fps.  ... 
doi:10.3390/s21248357 pmid:34960451 pmcid:PMC8704576 fatcat:mhkoihvp4fffffe7c2vhijk4by

Adaptive Partition of ECG Diagnosis Between Cloud and Wearable Sensor Net Using Open-Loop and Closed-Loop Switch Mode

Adarsha Bhattarai, Dongming Peng, Jason Payne, Hamid Sharif
2022 IEEE Access  
First, the R-peak detection algorithm for initial diagnosis in local devices is executed, and 100% of the transmission energy is saved when no abnormality is detected.  ...  Second, in the case of an abnormality being detected, the edge device performs two-dimensional convolution neural network (2D-CNN) classification on the ECG signals, leading to either open-loop or closed-loop  ...  Symlet 4 wavelet is used for the R-peak detection because it gives a better transformation to raw ECG signal and made R-peak detection easier [13] .  ... 
doi:10.1109/access.2022.3182704 fatcat:kxtfvw5rlrgovb7zjpb4j7zqf4

Continuously Monitoring Foetal ECG using Mobile Telemedicine Sensor Network

Mahmoud Ahmed Suliman Ali
2013 Engineering  
Foetus ECG monitoring based on Bluetooth portable devices promise to provide an efficient, accurate, and economic way to monitor foetus health outside the hospital.  ...  Advances in mobile technology have made wireless telemedicine more practical both within hospitals and globally.  ...  Many thanks to the University of Nyala for offering me the fund for this conference.  ... 
doi:10.4236/eng.2013.55b013 fatcat:lojo4qbnjva5boktmz7l42emzm

A Patient-Adaptive Profiling Scheme for ECG Beat Classification

M Faezipour, A Saeed, S C Bulusu, M Nourani, H Minn, L Tamil
2010 IEEE Transactions on Information Technology in Biomedicine  
Recent trends in clinical and telemedicine applications highly demand automation in electrocardiogram (ECG) signal processing and heart beat classification.  ...  We first employ an efficient wavelet-based beat-detection mechanism to extract precise fiducial ECG points.  ...  Borders b are determined for data chunks. Accurate ECG beat detection and classification is critical for correct arrhythmia assessment.  ... 
doi:10.1109/titb.2010.2055575 pmid:20813624 fatcat:kcrt6tusojbdxhfavarbba3zeq

MPSoC ECG biochip

Iyad Al Khatib, Sven Jonsson, Davide Bertozzi, Francesco Poletti, Luca Benini, Axel Jantsch, Mohamed Bechara, Hasan Khalifeh, Mazen Hajjar, Rustam Nabiev
2006 Proceedings of the 3rd conference on Computing frontiers - CF '06  
It improves upon state-of-the-art mostly for its capability to perform real-time analysis of input data, leveraging the computation horsepower provided by many concurrent DSPs, more accurate diagnosis  ...  The interest in high performance chip architectures for biomedical applications is on the rise.  ...  See for instance the R-Peak detection marked by circled areas in Fig.3 .  ... 
doi:10.1145/1128022.1128028 dblp:conf/cf/KhatibBPBJBKHNJ06 fatcat:ql7o4ptfmrbnboa6cm44y2yqye

Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis

Muhammad Shabaan, Kaleem Arshad, Muhammad Yaqub, Fung Jinchao, M. Sultan Zia, Girridhar Reddy Boja, Muazzam Iftikhar, Usman Ghani, Loknath Sai Ambati, Rizwan Munir
2020 BMC Medical Informatics and Decision Making  
The challenges for healthcare systems includes early detection, portability and mobility of patients.  ...  This paper presents a categorical review of smartphone-based systems that can detect cardiac abnormalities by the analysis of Electrocardiogram (ECG) and Photoplethysmography (PPG) and the limitation and  ...  The analysis of the peak of 'R' wave and calculation of R-R interval from ECG waveform provides accurate HR and Heart Rate Variability (HRV) analysis.  ... 
doi:10.1186/s12911-020-01199-7 pmid:32727453 fatcat:san2iqdrzvbjjmqyw3pulixh4u

Real-Time and Secure Wireless Health Monitoring

S. Dağtaş, G. Pekhteryev, Z. Şahinoğlu, H. Çam, N. Challa
2008 International Journal of Telemedicine and Applications  
This device is also designed to perform some basic processing such as the heart rate and fatal failure detection.  ...  The processed data as well as the analysis results are then transmitted to the service provider center for diagnostic reviews as well as storage.  ...  In addition, the stored data is processed for more detailed and accurate analysis of ECG signals for detections such as Q-T interval and T wave detection.  ... 
doi:10.1155/2008/135808 pmid:18497866 pmcid:PMC2386148 fatcat:z2l33mmierfuzngctbe5pwh3km

Normal Versus Abnormal ECG Classification by the Aid of Deep Learning [chapter]

Linpeng Jin, Jun Dong
2018 Artificial Intelligence - Emerging Trends and Applications  
With the development of telemedicine systems, collected ECG records are accumulated on a large scale.  ...  results for this subject.  ...  In the part of rule inference, all R-peak positions in the ECG record are detected first [27] , and then four disease rules based on them are used for further analysis.  ... 
doi:10.5772/intechopen.75546 fatcat:e2taxpvqtvfrnkufb2z7lokcwq

E-Health System for Medical Telesurveillance of Chronic Patients

Cristian Rotariu, Hariton Costin, Ioana Alexa, Gladiola Andruseac, Vasile Manta, Bogdan Mustata
2010 International Journal of Computers Communications & Control  
The final objective of this pilot project is to enable personalized medical teleservices delivery, and to act as a basis for a public service for telemedical procedures in Romania and abroad.  ...  The current common goal in medical information technology today is the design and implementation of telemedicine solutions, which provide to patients services that enhance their quality of life.  ...  If not, the peak is assumed to be a T-wave; • if the peak is larger than the detection threshold call it a QRS complex, otherwise call it noise. • if no QRS has been detected within 1.5 R-to-R intervals  ... 
doi:10.15837/ijccc.2010.5.2253 fatcat:fqlnuxk4cjc4hbcezss3c4apzi

An Electronic Health Care - Cardiac Monitoring System

Hanh Le, Michelle Kuttel, Gregory Chandran
2010 2010 IEEE International Conference on Communications Workshops  
We have developed offline & a real-time algorithms for detection of Q,R,S wave of ECG & PPG signals, monitoring patient continousley by doctor and rapidly increase of patient full health care (EHCMS) and  ...  patient before entering critical case, and classification of some disease that is faced patient depend on vital signs that is capturing from patient like bradycardia and tachycardia by analysis of Q,R,  ...   feature extraction  QRS detection Determine Q,R,S wave for each beats of patient and classification of ECG.  ... 
doi:10.1109/iccw.2010.5503907 fatcat:zp5fm7l2ajhanlpcn3w5c6v2zi

Remote Online Vital Signs Processing For Patient Monitoring and Diagnosis

O. Elnahas, M. Zahad, Sabah Ahmed
2015 SOP Transactions on Signal Processing  
In the second part we provide ElectroCardiGram (ECG) andPhoto-PlethysmoGraphy(PPG) signal filtering and processing, feature extraction, detection of any abnormalities in ECG and calculating heart rate  ...  telemedicine.  ...  Modern techniques used for arrhythmia detection purpose based on morphology of the waveform gives accurate results for cardiac arrhythmia detection [25, 26] .  ... 
doi:10.15764/stsp.2015.01005 fatcat:qpn73t22tza5xogg7ojq4lauba
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