Computer Vision Syndrome (CVS) Among Hardware Store Workers in Glodok Retail Area (a Case Study)

Computer vision syndrome (CVS) is a symptom complex in which symptoms develop due to long screening time and improper postures while using computers. Ayurveda has mentioned Shushkakshipaka under Sarvagat Netra Roga. The symptoms of CVS and Shushkakshipaka when corelated, it denotes imbalance of Vata and Pitta Dosha. These vitiated Doshas carried by Siras to the eyes. When Doshas accumulated in eye the condition develops, called as Shushkakshipaka. Over use of Internet, Computers, Electronic devices increasing the risk factors about maintaining the normal vision. For the management of the CVS case, the Saindhava Jala Seka and Abhyantara Triphala Ghritapana is chosen from Sushrut Samhita. Triphala Ghrita is beneficial for complete maintenance of physiology of eye. The Guna Karma of Saindhava and Triphala Ghrita are Vata-Pitta Shamaka and both having Chakshushya properties. The main purpose for this study is to find safe and effective treatment without untoward effect in the management of CVS along with respective ergonomics advice. The required clinical tests done to observe the effectiveness of the combination of local and systemic treatment. The dryness in the eyes and associated symptoms can be resolved with the local treatment like Seka. Both the treatment modalities in combination have potential to give local and systemic relief improving the symptoms of CVS.

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Relationship between Computer Vision Syndrome and A Collection of Musculoskeletal Pain among Frequent Computer Users

Strengthening Hospital Competitiveness to Improve Patient Satisfaction and Better Health Outcomes ◽

10.26911/the6thicph.05.24 ◽

2019 ◽

Author(s):

Hari Peni Julianti ◽

◽

Trilaksana Nugroho ◽

Dea Amarilisa Adespin ◽

Arwinda Nugraheni ◽

...

Keyword(s):

Computer Vision ◽

Musculoskeletal Pain ◽

Computer Users ◽

Computer Vision Syndrome

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Study on Knowledge and Prevalence of Computer Vision Syndrome among Computer Operators in Nobel Medical College Teaching Hospital, Biratnagar, Nepal

Journal of Nobel Medical College ◽

10.3126/jonmc.v9i2.33386 ◽

2020 ◽

Vol 9 (2) ◽

pp. 45-49

Author(s):

Pramod Sharma Gautam ◽

Uday Chandra Prakash ◽

Subreena Dangol

Keyword(s):

Computer Vision ◽

Teaching Hospital ◽

Human Life ◽

College Teaching ◽

Extended Period ◽

Visual Display ◽

Work Place ◽

Medical College ◽

Computer Vision Syndrome ◽

Department Of Ophthalmology

Background: The eye and vision related problems that results from continuous use of computers and other visual display terminals for extended period of time leads to computer vision syndrome. Due to rapid digitalization in human life, the risk of developing it has also increased in many folds. So, with an aim of determining the prevalence and level of awareness of computer vision syndrome among computer users along with their attitude and practices to prevent it, this study was conducted in the office employees who use computer for a considerable period of time. Materials and Methods: A hospital based observational descriptive study was conducted in the out-patient department of Ophthalmology in Nobel Medical College and Teaching Hospital, Biratnagar, where 105 employees working in different work stations of same institution were enrolled. A questionnaire and the clinical findings were used to collect data. Results: About 80% of the employees were using computer for about (8-11) hours per day. Prevalence of computer vision syndrome noted was (92.4%) with low level of knowledge (85.7%) about it. About 45% of them wore glasses for their refractive errors but attitude and practices in work place to prevent the bad effects of using visual display terminals were found to be lacking (53.3%). Burning sensation in the eye, headache, ocular irritation and itching and neck, shoulder or back pain were the common symptoms. Around (60-70)% of the eyes tested positive for dry eye. Conclusion: Lack of awareness of computer vision syndrome and lack of personal protective measures were associated with its high level of prevalence.

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Accommodative and binocular disorders in preteens with computer vision syndrome: a cross‐sectional study

Annals of the New York Academy of Sciences ◽

10.1111/nyas.14553 ◽

2020 ◽

Author(s):

Concepción De‐Hita‐Cantalejo ◽

Ángel García‐Pérez ◽

José‐María Sánchez‐González ◽

Raúl Capote‐Puente ◽

María Carmen Sánchez‐González

Keyword(s):

Computer Vision ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Computer Vision Syndrome

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Measurement of Gem Colour Using a Computer Vision System: A Case Study with Jadeite-Jade

Minerals ◽

10.3390/min11080791 ◽

2021 ◽

Vol 11 (8) ◽

pp. 791

Author(s):

Sufei Zhang ◽

Ying Guo

Keyword(s):

Computer Vision ◽

Regression Model ◽

Vision System ◽

Expert Group ◽

Group Test ◽

System A ◽

Real Objects ◽

Practical Tool ◽

Almost All

This paper introduces computer vision systems (CVSs), which provides a new method to measure gem colour, and compares CVS and colourimeter (CM) measurements of jadeite-jade colour in the CIELAB space. The feasibility of using CVS for jadeite-jade colour measurement was verified by an expert group test and a reasonable regression model in an experiment involving 111 samples covering almost all jadeite-jade colours. In the expert group test, more than 93.33% of CVS images are considered to have high similarities with real objects. Comparing L*, a*, b*, C*, h, and ∆E* (greater than 10) from CVS and CM tests indicate that significant visual differences exist between the measured colours. For a*, b*, and h, the R2 of the regression model for CVS and CM was 90.2% or more. CVS readings can be used to predict the colour value measured by CM, which means that CVS technology can become a practical tool to detect the colour of jadeite-jade.

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