scholarly journals Golden AI Data Acquisition and Processing Platform for Safe, Sustainable and Cost-Efficient Mining Operations

Author(s):  
Jari Havisto ◽  
Taras Matselyukh ◽  
Marko Paavola ◽  
Sanna Uusitalo ◽  
Marko Savolainen ◽  
...  
2004 ◽  
Vol 71 (1-4) ◽  
pp. 135-140 ◽  
Author(s):  
M Ruiz ◽  
E Barrera ◽  
S López ◽  
D Machón ◽  
J Vega ◽  
...  

1990 ◽  
Vol 51 (C2) ◽  
pp. C2-939-C2-942 ◽  
Author(s):  
N. DINER ◽  
A. WEILL ◽  
J. Y. COAIL ◽  
J. M. COUDEVILLE

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yanfei Yang ◽  
Mingzhu Xu ◽  
Aimin Liang ◽  
Yan Yin ◽  
Xin Ma ◽  
...  

AbstractIn this study, a wearable multichannel human magnetocardiogram (MCG) system based on a spin exchange relaxation-free regime (SERF) magnetometer array is developed. The MCG system consists of a magnetically shielded device, a wearable SERF magnetometer array, and a computer for data acquisition and processing. Multichannel MCG signals from a healthy human are successfully recorded simultaneously. Independent component analysis (ICA) and empirical mode decomposition (EMD) are used to denoise MCG data. MCG imaging is realized to visualize the magnetic and current distribution around the heart. The validity of the MCG signals detected by the system is verified by electrocardiogram (ECG) signals obtained at the same position, and similar features and intervals of cardiac signal waveform appear on both MCG and ECG. Experiments show that our wearable MCG system is reliable for detecting MCG signals and can provide cardiac electromagnetic activity imaging.


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