fault tolerant multimodal safety related medical systems

Abstract

The safety improvements in the medical systems or devices, specifically non-invasive newlinepatient monitoring systems (PMS) and point-of-care (POC) devices of human health monitoring newline(HHMS) systems, are in great need to perform precise measurements of vital parameters with newlineuninterrupted continuous monitoring for diagnosis of significant human health ailments. During newlinecritical or non-critical nursing times, frequent monitoring of short and long-duration measures of newlinevital parameters (like ECG, EEG, Respiratory, SpO2, Blood-pressure, Temperature, etc.) and newlinenon-vital parameters (like Glucose levels, Hemoglobin, Urea in blood, etc.) will allow for better newlinenursing and early detection of diseases like cardiovascular diseases, respiratory diseases, liver newlinedysfunction, diabetes, renal diseases, and other psychological disorders. A non-invasive medical newlineinstrumentation system for accomplishing these tasks must meet several criteria like accuracy newlineand precision of the measurement, reduction of false alarms, effective detection of faults, and newlinefault tolerance to systemic or random failures with an uninterrupted performance during nursing newlinetimes. newlineMany research groups have made many efforts worldwide to make strategies and guidelines newlineand standardize the procedures for medical systems based on safety design approaches to raise newlinealerts for any deviance during non-invasive monitoring of health parameters. In addition, health newlinemonitoring instruments should be portable, low-cost, and reliable over time. Many modes of newlinediagnosis and related instrument maintenance procedures satisfy these criteria. However, most of newlinethem are still in the improvement stage for developing resilient instruments for integrating with newlinecritical auto-robotic surgery instruments with minimal human intervention. newlineSeveral approaches have been proposed, out of which safety-related design approaches like newlineusing 2oo2, 2oo3, 1oo2, etc., along with AI-based data analytics, have the advantage of meeting newlinethese rigorous demands in fundamental safety improvements of Medical Systems. Based