Artificial heart virtualization seizure management structure relies on controlled nerve stimulation. (2021)

• Record Type: Journal Article
• Authors: Subha, T.D.; Shabanabegum, S.K.; Suresh, T.; Swetha Reddy, A.
• Is Part Of: Materials today. Volume 43:Part 6(2021)
• Page Start: 3580
• Page End: 3586
• Publication Date: 2021
• Subjects: Medical images -- Semantic analysis -- Data modelling -- Semantic service -- Medical service -- Coronary anatomy -- Acute myocardial infarction (AMI) -- Coronary angiogram; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2020.09.820
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: The modern Era has not only developed science and technology but also improved the quality of human life. Since, the need of extended life is increased in recent years; the effective health care system is constructed to provide a better medical service. Particularly, when it comes to emergency diseases, the quality of medical system imposes a unique care on the patients. In order to diagnose these emergency diseases, the medical images are used to check the lesion information. In medical fields, PACS (Picture Archiving and Communication System) technology is used to acquire, transmit, or manage the medical images. However, since the existing system manage those diseases based on their superficial metadata, but the semantic information cannot be analyzed inherent in the medical images. Therefore, in this paper, an innovative method of providing medical image information by using their semantic information which is related to AMI (Acute Myocardial Infarction) is proposed. Here an essential image modality is selected and used for diagnosis as well as treatment of AMI, extract its semantic features, and analyze their semantic relations. The proposed method can provide several important information which is provided in medical images on a template, so that the insightful and efficient medical information can be provided for urgent diseases.