Knock signal denoising employing a new time domain method

Author(s):  
Amirhossein Moshrefi ◽  
Hossein Aghababa ◽  
Omid Shoaei
2001 ◽  
Vol 32 (1) ◽  
pp. 46-51 ◽  
Author(s):  
Xiaolong Zhong ◽  
Yaowu Liu ◽  
Kenneth K. Mei

1994 ◽  
Vol 22 (1) ◽  
pp. 66-77 ◽  
Author(s):  
Youngtack Shim ◽  
Ares Pasipoularides ◽  
Craig A. Straley ◽  
Thomas G. Hampton ◽  
Pablo F. Soto ◽  
...  

2021 ◽  
Author(s):  
Elnaz Lashgari ◽  
Atabak Pouya ◽  
Uri Maoz

Human urges, desires, and intentions manifest themselves in voluntary action. The final stages of such voluntary action are the muscle contractions that bring it about. Electromyography (EMG) signals measure such muscle contractions. Decoding action contents from EMG require advanced methods for detection, decomposition, processing, and classification and remains a challenge in neuroscience. This study presents a new, time-domain method of classifying EMG for grasping different types of objects. Our proposed method can classify objects with different weights with an accuracy of up to 90%. This progress in neuroscience affects other fields like physiology, brain-computer interfaces, robotics, and so on.


Measurement ◽  
2014 ◽  
Vol 49 ◽  
pp. 368-381 ◽  
Author(s):  
Leopoldo Angrisani ◽  
Massimo D’Apuzzo ◽  
Domenicantonio Grillo ◽  
Nicola Pasquino ◽  
Rosario Schiano Lo Moriello

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