Fetal ECG Extraction from Abdominal ECG Using Chebyshev and Butterworth Filters

Author(s):  
Shaun Eng Shuen Gan ◽  
Sanjoy Kumar Debnath ◽  
Yousif Saad Alshebly ◽  
Hermawan Nugroho ◽  
Susama Bagchi ◽  
...  
2016 ◽  
Vol 4 (2) ◽  
pp. 1
Author(s):  
PRASAD K. PURUSHOTHAM ◽  
ANURADHA B. ◽  
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2017 ◽  
Vol 12 (13) ◽  
pp. 75-82
Author(s):  
K.V. Nasedkin ◽  
◽  
V.V. Fedotenko ◽  
O.G. Viunytskyi ◽  
V.I. Shulgin ◽  
...  
Keyword(s):  

Author(s):  
J. Sakubar Sadiq ◽  
G. Arunmani ◽  
P. Ravivarma ◽  
N. Karthika Devi ◽  
A. Hemalatha ◽  
...  

2021 ◽  
Vol 57 (2) ◽  
pp. 177-183
Author(s):  
Seong Hyun Moon ◽  
◽  
Rahul Soangra ◽  
Christopher F. Frames ◽  
Thurmon E. Lockhart ◽  
...  

Parkinson’s Disease (PD) is a neurodegenerative disorder affecting the substantia nigra, which leads to more than half of PD patients are considered to be at high risk of falling. Recently, Inertial Measurement Unit (IMU) sensors have shown great promise in the classification of activities of daily living (ADL) such as walking, standing, sitting, and laying down, considered to be normal movement in daily life. Measuring physical activity level from longitudinal ADL monitoring among PD patients could provide insights into their fall mechanisms. In this study, six PD patients (mean age=74.3±6.5 years) and six young healthy subjects (mean age=19.7±2.7 years) were recruited. All the subjects were asked to wear the single accelerometer, DynaPort MM+ (Motion Monitor+, McRoberts BV, The Hague, Netherlands), with a sampling frequency of 100 Hz located at the L5-S1 spinal area for 3 days. Subjects maintained a log of activities they performed and only removed the sensor while showering or performing other aquatic activities. The resultant acceleration was filtered using high and low pass Butterworth filters to determine dynamic and stationary activities. As a result, it was found that healthy young subjects performed significantly more dynamic activities (13.2%) when compared to PD subjects (7%), in contrast, PD subjects (92.9%) had significantly more stationary activities than young healthy subjects (86.8%).


Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3648 ◽  
Author(s):  
Rene Jaros ◽  
Radek Martinek ◽  
Radana Kahankova

Fetal electrocardiography is among the most promising methods of modern electronic fetal monitoring. However, before they can be fully deployed in the clinical practice as a gold standard, the challenges associated with the signal quality must be solved. During the last two decades, a great amount of articles dealing with improving the quality of the fetal electrocardiogram signal acquired from the abdominal recordings have been introduced. This article aims to present an extensive literature survey of different non-adaptive signal processing methods applied for fetal electrocardiogram extraction and enhancement. It is limiting that a different non-adaptive method works well for each type of signal, but independent component analysis, principal component analysis and wavelet transforms are the most commonly published methods of signal processing and have good accuracy and speed of algorithms.


Author(s):  
Y.C. Park ◽  
B.M. Cho ◽  
N.H. Kim ◽  
W.K. Kim ◽  
S.H. Park ◽  
...  

2018 ◽  
Vol 39 (12) ◽  
pp. 125008 ◽  
Author(s):  
Fahimeh Jamshidian-Tehrani ◽  
Reza Sameni
Keyword(s):  
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