Variability in muscle activity measurements among clinical ophthalmologists

2013 ◽  
Author(s):  
Emily Marie Determan
Author(s):  
Nobuyuki Ohmori ◽  
◽  
Chihiro Murasawa ◽  
Jumpei Aizawa ◽  
Hideya Momose ◽  
...  

For the noninvasive measurement of swallowing muscle activity, surface electromyograms and swallowing sounds are used. The electromyogram electrodes can be placed appropriately only by experts with specialized knowledge about the location of the swallowing muscle group. Therefore, these sensors have not been used for measurements in food development, for which there were no experts. In order to develop a simple swallowing muscle measurement method for food development, we proposed a sensor sheet consisting of multiple electromyogram electrodes and observed that different swallowing muscle activities could be measured depending on the type of food. In this work, we study a calculation method for the elimination of noise, which is inevitable in electromyograms, from the sensor sheet measurement results and prove that the method improves the performance of the swallowing muscle activity measurements.


2021 ◽  
Vol 11 (10) ◽  
pp. 4625
Author(s):  
Krzysztof Strzecha ◽  
Marek Krakós ◽  
Bogusław Więcek ◽  
Piotr Chudzik ◽  
Karol Tatar ◽  
...  

This work deals with electromyography (EMG) signal processing for the diagnosis and therapy of different muscles. Because the correct muscle activity measurement of strongly noised EMG signals is the major hurdle in medical applications, a raw measured EMG signal should be cleaned of different factors like power network interference and ECG heartbeat. Unfortunately, there are no completed studies showing full multistage signal processing of EMG recordings. In this article, the authors propose an original algorithm to perform muscle activity measurements based on raw measurements. The effectiveness of the proposed algorithm for EMG signal measurement was validated by a portable EMG system developed as a part of the EU research project and EMG raw measurement sets. Examples of removing the parasitic interferences are presented for each stage of signal processing. Finally, it is shown that the proposed processing of EMG signals enables cleaning of the EMG signal with minimal loss of the diagnostic content.


2002 ◽  
Vol 16 (2) ◽  
pp. 92-96
Author(s):  
Tiina Ritvanen ◽  
Reijo Koskelo ◽  
Osmo H„nninen

Abstract This study follows muscle activity in three different learning sessions (computer, language laboratory, and normal classroom) while students were studying foreign languages. Myoelectric activity was measured in 21 high school students (10 girls, 11 boys, age range 17-20 years) by surface electromyography (sEMG) from the upper trapezius and frontalis muscles during three 45-min sessions. Root mean square (RMS) average from both investigated muscles was calculated. The EMG activity was highest in both muscle groups in the computer-aided session and lowest in the language laboratory. The girls had higher EMG activity in both investigated muscle groups in all three learning situations. The measured blood pressure was highest at the beginning of the sessions, decreased within 10 min, but increased again toward the end of the sessions. Our results indicate that the use of a computer as a teaching-aid evokes more constant muscle activity than the traditional learning situations. Since muscle tension can have adverse health consequences, more research is needed to determine optimal classroom conditions, especially when technical aids are used in teaching.


2012 ◽  
Author(s):  
Ehsan Rashedi ◽  
Bochen Jia ◽  
Maury A. Nussbaum ◽  
Thurmon E. Lockhart

2003 ◽  
Author(s):  
Naomi F. Glasscock ◽  
Gary A. Mirka ◽  
Carolyn M. Sommerich ◽  
Katherine W. Klein

2006 ◽  
Author(s):  
William Porter ◽  
Sean Gallagher ◽  
Carrie Reinholtz ◽  
Janet Torma-Krajewski

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