Optomyography: Difference between revisions
Added tags to the page using Page Curation (refimprove) |
|||
| (18 intermediate revisions by 11 users not shown) | |||
| Line 1: | Line 1: | ||
{{Multiple issues| |
|||
{{ |
{{Orphan|date=May 2022}} |
||
{{more citations needed|date=May 2016}} |
|||
}} |
|||
'''Optomyography (OMG)''' was proposed in 2015 as a technique that could be used to monitor muscular activity. It is possible to use OMG for the same applications where [[Electromyography]] (EMG) and [[Mechanomyography]] (MMG) are used. However, OMG offers superior [[signal-to-noise ratio]] and improved robustness against the disturbing factors and limitations of EMG and MMG. |
'''Optomyography (OMG)''' was proposed in 2015 as a technique that could be used to monitor muscular activity.<ref>{{cite conference|title=Optomyography (OMG): A Novel Technique for the Detection of Muscle Surface Displacement Using Photoelectric Sensors |last1=Hamid Muhammed |first1=Hamed |last2=Raghavendra |first2=Jammalamadaka |date=2015 |conference=Measurements - Proceedings of the 10th International Conference on Bioelectromagnetism, International Society for Bioelectromagnetism |volume=10 |url=http://www.diva-portal.org/smash/record.jsf?pid=diva2:886303}}</ref> It is possible to use OMG for the same applications where [[Electromyography]] (EMG) and [[Mechanomyography]] (MMG) are used. However, OMG offers superior [[signal-to-noise ratio]] and improved robustness against the disturbing factors and limitations of EMG and MMG. |
||
The basic principle of OMG is to use active near-infra-red optical sensors to measure the variations in the measured signals that are reflected from the surface of the skin while activating the muscles below and around the skin spot where the photoelectric sensor is focusing to measure the signals reflected from this spot. |
The basic principle of OMG is to use active near-infra-red optical sensors to measure the variations in the measured signals that are reflected from the surface of the skin while activating the muscles below and around the skin spot where the photoelectric sensor is focusing to measure the signals reflected from this spot.<ref>{{cite conference|title=A New Approach for Rehabilitation and Upper-Limb Prosthesis Control Using Optomyography (OMG) |last1=Hamid Muhammed |first1=Hamed |last2=Raghavendra |first2=Jammalamadaka |date=2016 |conference=THE 1ST 2016 INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING (IBIOMED 2016) |doi=10.1109/IBIOMED.2016.7869814 }}</ref> |
||
== Applications == |
== Applications == |
||
Generating proper control signals is the most important task to be able to control any kind of a prosthesis, computer game or any other system which contains a human-computer interaction unit or module. For this purpose, surface-Electromyographic (s-EMG) and Mechanomyographic (MMG) signals are measured during muscular activities and used, not only for monitoring and assessing these activities, but also to help in providing efficient rehabilitation treatment for patients |
A glasses based optomyography device was patented <ref>{{Cite web|url=https://patents.justia.com/patent/11003899|title = US Patent for Optical expression detection Patent (Patent # 11,003,899 issued May 11, 2021) - Justia Patents Search}}</ref> for measuring facial expressions and emotional responses particularly for mental health monitoring [https://www.wired.co.uk/article/emteq-vr-digital-phenotyping-charles-nduka]. Generating proper control signals is the most important task to be able to control any kind of a prosthesis, computer game or any other system which contains a human-computer interaction unit or module. For this purpose, surface-Electromyographic (s-EMG) and Mechanomyographic (MMG) signals are measured during muscular activities and used, not only for monitoring and assessing these activities, but also to help in providing efficient rehabilitation treatment for patients with disabilities as well as in constructing and controlling sophisticated prostheses for various types of amputees and disabilities. However, while the existing s-EMG and MMG based systems have compelling benefits, many engineering challenges still remain unsolved, especially with regard to the sensory control system. |
||
== References == |
== References == |
||
{{Reflist}} |
|||
* {{cite conference|title=Optomyography (OMG): A Novel Technique for the Detection of Muscle Surface Displacement Using Photoelectric Sensors |last1=Hamid Muhammed |first1=Hamed |last2=Raghavendra |first2=Jammalamadaka |date=2015 |conference=Measurements - Proceedings of the 10th International Conference on Bioelectromagnetism, International Society for Bioelectromagnetism |volume=10 |url=http://www.diva-portal.org/smash/record.jsf?pid=diva2:886303}} |
|||
[[Category:Biomedical engineering]] |
|||
{{Uncategorized|date=April 2016}} |
|||
[[Category:Biological engineering]] |
|||
[[Category:Signal processing]] |
|||
{{Biomed-engineering-stub}} |
|||
Latest revision as of 22:11, 19 July 2023
 | This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these template messages)
|
Optomyography (OMG) was proposed in 2015 as a technique that could be used to monitor muscular activity.[1] It is possible to use OMG for the same applications where Electromyography (EMG) and Mechanomyography (MMG) are used. However, OMG offers superior signal-to-noise ratio and improved robustness against the disturbing factors and limitations of EMG and MMG. The basic principle of OMG is to use active near-infra-red optical sensors to measure the variations in the measured signals that are reflected from the surface of the skin while activating the muscles below and around the skin spot where the photoelectric sensor is focusing to measure the signals reflected from this spot.[2]
Applications[edit]
A glasses based optomyography device was patented [3] for measuring facial expressions and emotional responses particularly for mental health monitoring [1]. Generating proper control signals is the most important task to be able to control any kind of a prosthesis, computer game or any other system which contains a human-computer interaction unit or module. For this purpose, surface-Electromyographic (s-EMG) and Mechanomyographic (MMG) signals are measured during muscular activities and used, not only for monitoring and assessing these activities, but also to help in providing efficient rehabilitation treatment for patients with disabilities as well as in constructing and controlling sophisticated prostheses for various types of amputees and disabilities. However, while the existing s-EMG and MMG based systems have compelling benefits, many engineering challenges still remain unsolved, especially with regard to the sensory control system.
References[edit]
- ^ Hamid Muhammed, Hamed; Raghavendra, Jammalamadaka (2015). Optomyography (OMG): A Novel Technique for the Detection of Muscle Surface Displacement Using Photoelectric Sensors. Measurements - Proceedings of the 10th International Conference on Bioelectromagnetism, International Society for Bioelectromagnetism. Vol. 10.
- ^ Hamid Muhammed, Hamed; Raghavendra, Jammalamadaka (2016). A New Approach for Rehabilitation and Upper-Limb Prosthesis Control Using Optomyography (OMG). THE 1ST 2016 INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING (IBIOMED 2016). doi:10.1109/IBIOMED.2016.7869814.
- ^ "US Patent for Optical expression detection Patent (Patent # 11,003,899 issued May 11, 2021) - Justia Patents Search".
 | This article about biomedical engineering is a stub. You can help Wikipedia by expanding it. |