On Analyzing Capnogram as a Novel Method for Screening COVID-19: A Review on Assessment Methods for COVID-19

被引:2
|
作者
Malarvili, M. B. [1 ]
Alexie, Mushikiwabeza [1 ,2 ]
Dahari, Nadhira [1 ]
Kamarudin, Anhar [3 ]
机构
[1] Univ Teknol Malaysia, Sch Biomed & Hlth Sci Engn, Skudai 81310, Johor Bahru, Malaysia
[2] Univ Rwanda, Coll Sci & Technol CST, Ctr Excellence Biomed Engn & E Hlth CEBE, KN 67 St, Nyarugenge 3900, Kigali, Rwanda
[3] Univ Malaya Med Ctr UMMC, Fac Med, Kuala Lumpur 59100, Malaysia
来源
LIFE-BASEL | 2021年 / 11卷 / 10期
关键词
COVID-19; diagnostic test; screening tool; SARS CoV-2 infection; CO2; waveform; feature extraction; EMERGENCY-DEPARTMENT; WAVE-FORMS; LIMITATIONS; SARS-COV-2; CLASSIFICATION; MAINSTREAM; PNEUMONIA; OUTBREAK; ASTHMA; SHAPE;
D O I
10.3390/life11101101
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
In November 2019, the novel coronavirus disease COVID-19 was reported in Wuhan city, China, and was reported in other countries around the globe. COVID-19 is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Strategies such as contact tracing and a vaccination program have been imposed to keep COVID-19 under control. Furthermore, a fast, noninvasive and reliable testing device is needed urgently to detect COVID-19, so that contact can be isolated and ringfenced before the virus spreads. Although the reverse transcription polymerase chain reaction (RT-PCR) test is considered the gold standard method for the diagnosis of SARS-CoV-2 infection, this test presents some limitations which cause delays in detecting the disease. The antigen rapid test (ART) test, on the other hand, is faster and cheaper than PCR, but is less sensitive, and may limit SARS-CoV-2 detection. While other tests are being developed, accurate, noninvasive and easy-to-use testing tools are in high demand for the rapid and extensive diagnosis of the disease. Therefore, this paper reviews current diagnostic methods for COVID-19. Following this, we propose the use of expired carbon dioxide (CO2) as an early screening tool for SARS-CoV-2 infection. This system has already been developed and has been tested on asthmatic patients. It has been proven that expired CO2, also known as capnogram, can help differentiate between respiratory conditions and, therefore, could be used to detect SARS-CoV-2 infection, as it causes respiratory tract-related diseases.</p>
引用
收藏
页数:26
相关论文
共 50 条
  • [1] Is Covid-19 Sibling of SARS AND MERS? A Review on: Novel Covid-19
    Devi, Savita
    Singh, Kamaldeep
    INDIAN JOURNAL OF PHARMACEUTICAL EDUCATION AND RESEARCH, 2020, 54 (03) : 491 - 495
  • [2] The Capacity of Artificial Intelligence in COVID-19 Response: A Review in Context of COVID-19 Screening and Diagnosis
    Ozsahin, Dilber Uzun
    Isa, Nuhu Abdulhaqq
    Uzun, Berna
    DIAGNOSTICS, 2022, 12 (12)
  • [3] COVID-19 and Eye: A Review of Ophthalmic Manifestations of COVID-19
    Sen, Mrittika
    Honavar, Santosh G.
    Sharma, Namrata
    Sachdev, Mahipal S.
    INDIAN JOURNAL OF OPHTHALMOLOGY, 2021, 69 (03) : 488 - 509
  • [4] COVID-19 Review
    Reichardt, Alina
    DEUTSCHES ARZTEBLATT INTERNATIONAL, 2020, 117 (29-30):
  • [5] Probabilistic Risk Assessment of COVID-19 Patients at COVID-19 Assessment Centre
    Ting, Choo-Yee
    Zakariah, Helmi
    Yusri, Yasmin Zulaikha Mohd
    INTERNATIONAL JOURNAL OF TECHNOLOGY, 2022, 13 (06) : 1193 - 1201
  • [6] COVID-19: a review
    Madabhavi, Irappa
    Sarkar, Malay
    Kadakol, Nagaveni
    MONALDI ARCHIVES FOR CHEST DISEASE, 2020, 90 (02) : 248 - 258
  • [7] COVID-19 diagnosis - A review of current methods
    Yuce, Meral
    Filiztekin, Elif
    Ozkaya, Korin Gasia
    BIOSENSORS & BIOELECTRONICS, 2021, 172
  • [8] Review of COVID-19 testing and diagnostic methods
    Filchakova, Olena
    Dossym, Dina
    Ilyas, Aisha
    Kuanysheva, Tamila
    Abdizhamil, Altynay
    Bukasov, Rostislav
    TALANTA, 2022, 244
  • [9] Diagnosis Methods for COVID-19: A Systematic Review
    Maia, Renata
    Carvalho, Violeta
    Faria, Bernardo
    Miranda, Ines
    Catarino, Susana
    Teixeira, Senhorinha
    Lima, Rui
    Minas, Graca
    Ribeiro, Joao
    MICROMACHINES, 2022, 13 (08)
  • [10] Review of COVID-19 Propagation Prediction Methods
    Wang, Zhengan
    Xu, Zhenshun
    Lin, Lingde
    Computer Engineering and Applications, 2023, 59 (12): : 49 - 61