| dc.description.abstract | Breathing difficulties are a common symptom of lung
disorders such as chronic obstructive pulmonary diseases and
asthma. Your airways may narrow, swell, and create additional
mucus if you have asthma. This may obstruct your airways and
cause shortness of breath, coughing, a whistling sound when you
exhale, and wheezing. Therefore, wheezing can be used as a
crucial diagnostic tool for the identification of various diseases.
An individual's respiratory rate increases when they wheeze,
and as a result, their lungs are more likely to work harder than
they normally would. The presence of low blood oxygen levels,
elevated heart rates, increased breathing sounds, increased
breathing rates, and coughing can all be utilized to diagnose
wheezing in a person. In this study, the aforementioned
characteristics are used to identify wheezing in an asthmatic
patient. Asthma, a widespread health condition affecting
individuals of all ages, poses a significant risk as it claims the
lives of many people daily, making it essential to raise
awareness, research, and improve management strategies to
reduce its impact on public health. With the proper treatment
and care, almost all of these fatalities may be prevented.
Therefore, this review study contains the study of such systems
to determine what technologies can be best in developing this
kind of system while considering the accuracy of the systems.
After studying these technologies, we have identified that
Neural Networks can be used to develop this kind of system due
to its high accuracy of it. | en_US |
