A Review Of Artificial Intelligence Based Non-Invasive Blood Glucose Level Detection

Abstract

Diabetes is a persistent illness in which a person's body malfunctions to metabolize the glucose in blood effectively. The absence of insulin in the human body is source of diabetes. The most crucial component of health care is the ongoing checking of blood sugar. The majority of effective glucose level monitoring devices rely on blood pricking technique. For frequent measurement, however, this kind of approach might not be the best choice. The comprehensive review of glucose testing methods is presented in this study. The study discusses several non-invasive glucose testing techniques as well as smart medical technology for glucose management. The configuration of an accurate measurement instrument is required to meet the necessity for non-intrusive and painless blood sugar level checking system. The issue of repeatedly puncturing blood samples for blood samples is solved by non-invasive glucose-level checking devices for clinical tests. To provide continuous health monitoring, a Smart Healthcare framework based on the IoMT (Internet-Medical-Things) integrated H-CPS (Healthcare Cyber-Physical System) is needed for glucose measurement. In addition, a few consumer products and a few cutting-edge glucose measurement techniques are covered in the study. The study also included a list of unresolved issues and challenges related to measuring glucose.