Best Electrode Locations for a Small Bipolar ECG Device: Signal Strength Analysis of Clinical Data-Reference-Cited by-同舟云学术

Best Electrode Locations for a Small Bipolar ECG Device: Signal Strength Analysis of Clinical Data

Published:2008-11-20 Issue:2 Volume:37 Page:331-336
ISSN:0090-6964
Container-title:Annals of Biomedical Engineering
language:en
Short-container-title:Ann Biomed Eng

Author:

Puurtinen Merja,Viik Jari,Hyttinen Jari

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s10439-008-9604-y.pdf

Reference11 articles.

1. Alive Technologies. http://www.alivetec.com/products.htm . Accessed on 13.11.2007.

2. Donnelly M. P., D. D. Finlay, C. D. Nugent, and N. D. Black. 2008 Lead selection: old and new methods for locating the most electrocardiogram information. Journal of Electrocardiology 41:257–263. doi: 10.1016/j.jelectrocard.2008.02.004

3. Dunn O. J. and V. A. Clark 1974 Applied statistics: analysis of variance and regression. John Wiley & Sons, Inc., New York

4. Fernandez M. and R. Pallas-Areny. 2000 Ag-AgCl electrode noise in high-resolution ECG measurements. Biomedical Instrumentation & Technology 34:125–130.

5. Gondran C., E. Siebert, S. Yacoub, and E. Novakov. 1996 Noise of surface bio-potential electrodes based on NASICON ceramic and Ag-AgCl. Medical & Biological Engineering & Computing 34:460–466. doi: 10.1007/BF02523851

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sensitivity of Electrocardiogram on Electrode-Pair Locations for Wearable Devices: Computational Analysis of Amplitude and Waveform Distortion;Biosensors;2024-03-21

2. Uncertainties in the Analysis of Heart Rate Variability: A Systematic Review;IEEE Reviews in Biomedical Engineering;2024

3. Quantifying Cognitive Workload Using a Non-Contact Magnetocardiography (MCG) Wearable Sensor;Sensors;2022-11-24

4. ECG Signal Quality Assessments of a Small Bipolar Single-Lead Wearable Patch Sensor;Cardiovascular Engineering and Technology;2022-03-15

5. 1D Convolutional Autoencoder-Based PPG and GSR Signals for Real-Time Emotion Classification;IEEE Access;2022