ABSTRACT
Coronavirus disease 2019 (COVID-19) has continued to spread globally since late 2019, representing a formidable challenge to the world's healthcare systems, wreaking havoc, and spreading rapidly through human contact. With fever, fatigue, and a persistent dry cough being the hallmark symptoms, this disease threatened to destabilize the delicate balance of our global community. Rapid and accurate diagnosis of COVID-19 is a prerequisite for understanding the number of confirmed cases in the world or a region, and an important factor in epidemic assessment and the development of control measures. It also plays a crucial role in ensuring that patients receive the appropriate medical treatment, leading to optimal patient care. Reverse transcription-polymerase chain reaction (RT-PCR) technology is currently the most mature method for detecting viral nucleic acids, but it has many drawbacks. Meanwhile, a variety of COVID-19 detection methods, including molecular biological diagnostic, immunodiagnostic, imaging, and artificial intelligence methods have been developed and applied in clinical practice to meet diverse scenarios and needs. These methods can help clinicians diagnose and treat COVID-19 patients. This review describes the variety of such methods used in China, providing an important reference in the field of the clinical diagnosis of COVID-19.
Subject(s)
Humans , Artificial Intelligence , China , COVID-19/diagnosis , COVID-19 TestingABSTRACT
Objective:To observe the effect of well-designed board sanding training on the upper extremity motor functioning of hemiplegic stroke survivors.Methods:Sixty stroke survivors with hemiplegia were randomly divided into an observation group (30 cases) and a control group (30 cases). All received conventional rehabilitation. The observation group′s training involved intelligent board sanding, while the control group′s training involved traditional sanding.Results:After the treatment, significant improvement was observed in the Fugl-Meyer upper extremity scores, modified Barthel index scores and reported shoulder pain in both groups, with the observation group′s averages significantly better than those of the control group. After the intervention, the average scores of both groups on the modified Ashforth scale had also improved significantly.Conclusions:Supplementing conventional rehabilitation treatment with intelligent board sanding can significantly improve upper extremity motor function and ability in the activities of daily living of stroke survivors with hemiplegia while somewhat relieving shoulder pain. The effect is better than with traditional board sanding.