Long-term self-potential data acquisition and processing

2005 ◽  
pp. 171-196 ◽  
Author(s):  
Burkhard Wurmstich ◽  
Sonja Faber
Keyword(s):  
Data Acquisition ◽  
Data Acquisition And Processing ◽  
Self Potential

scholarly journals A PRACTICAL APPROACH FOR SELF-POTENTIAL DATA ACQUISITION, PROCESSING, AND VISUALIZATION

2020 ◽  
pp. 1-67
Author(s):  
Stéphanie Barde-Cabusson ◽  
Anthony Finizola ◽  
Niels Grobbe
Keyword(s):  
Data Acquisition ◽  
Survey Design ◽  
Low Cost ◽  
Hydrothermal Systems ◽  
Natural Environments ◽  
Design Data ◽  
Robust Processing ◽  
Data Acquisition And Processing ◽  
Self Potential ◽  
Acquisition Method

We propose a comprehensive methodology for the acquisition and processing of self-potential (SP) data, as well as some keys to the interpretation of the results. The wide applicability of the SP method, and its low cost, make it a popular method for use in a variety of natural environments. Despite its versatility and the fact that various published journal papers describe the method and its applications, we believe that there is an important need for a dedicated, peer-reviewed SP acquisition, processing and visualization/interpretation paper in the scientific literature. We identified a great interest from the scientific community for such a journal paper as a guide for both existing and new practitioners with their SP survey design, data acquisition, robust processing, and initial interpretation steps. A step-by-step methodology is proposed here for SP data acquisition and processing, combined with practical guidance for the interpretation of collected and processed SP data, including a discussion of common errors and typical sources of uncertainty. The presented examples are based on studies in volcanic environments (e.g. hydrothermal systems), however the processing steps and methodology are fully applicable and transferable across disciplines to SP data acquired in any environment, and for a wide variety of applications. After a short overview of the field acquisition method and the low-cost equipment, the reference and closure corrections, their meaning for the SP signal, and their effect on the dataset are detailed and exemplified. The benefits of interpolating SP data in two steps is discussed. Combining map visualization, SP vs distance, and SP vs elevation graphs appears as a highly effective strategy to interpret the signal in terms of hydrogeological and hydrothermal domains, and to highlight structural limits in volcanic contexts as well as in other environments.

INES MOVIES : A NEW ACOUSTIC DATA ACQUISITION AND PROCESSING SYSTEM

1990 ◽  
Vol 51 (C2) ◽  
pp. C2-939-C2-942 ◽  
Author(s):  
N. DINER ◽  
A. WEILL ◽  
J. Y. COAIL ◽  
J. M. COUDEVILLE
Keyword(s):  
Data Acquisition ◽  
Processing System ◽  
Acoustic Data ◽  
Data Acquisition And Processing

scholarly journals A new wearable multichannel magnetocardiogram system with a SERF atomic magnetometer array

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yanfei Yang ◽  
Mingzhu Xu ◽  
Aimin Liang ◽  
Yan Yin ◽  
Xin Ma ◽  
...  
Keyword(s):  
Independent Component Analysis ◽  
Data Acquisition ◽  
Current Distribution ◽  
Spin Exchange ◽  
Healthy Human ◽  
Ecg Signals ◽  
Mode Decomposition ◽  
Magnetometer Array ◽  
Data Acquisition And Processing ◽  
Electrocardiogram Ecg

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.

SN-2: a data acquisition and processing system

1989 ◽  
Vol 24 (9) ◽  
pp. 66-71
Author(s):  
Z. Defu ◽  
Y. Peigen ◽  
S. Zhongxiu
Keyword(s):  
Data Acquisition ◽  
Processing System ◽  
Data Acquisition And Processing

Rapid 3-Dimensional Anthropometry by Semiautomatic Data Acquisition and Processing

2007 ◽  
Vol 58 (6) ◽  
pp. 698-703 ◽  
Author(s):  
Constantin A. Landes ◽  
Michael Trolle ◽  
Robert Sader
Keyword(s):  
Data Acquisition ◽  
3 Dimensional ◽  
Data Acquisition And Processing
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