The Advent of Application Specific Integrated Circuits (ASIC)-MEMS within the Medical System

Abstract

Medical healthcare has become one of the fastest growing and largest industries in the world. More and more people are aware of the precious and important life. At the same time, personal disposable income increases and awareness of disease prevention increases. It allows the healthcare industry to maintain high growth rates. Micro-electro-mechanical systems (MEMS) is one of the most revolutionary semiconductor components. The advent of Application Specific Integrated Circuits (ASIC)-MEMS has created a new era for the healthcare industry. The medical Micro LED detects the blood vessel position with the emission light source and repositions the blood flow state of the blood vessel. Micro LED mainly uses the MEMS microfabrication technology to micronize, array, and thin film the traditional LED crystal film. This article will explore how to use MEMS wafers to redefine the needs of the healthcare market and open up new growth opportunities for healthcare applications. With the shift from first-hand medical devices from the hospital business to personal use, miniaturization, economics, reliability and battery life have become new demands in the healthcare market.

Pre-Dialytic SpO2 Measured with a Wearable Device as a Predictor of Mortality in Patients with OSA and Chronic Kidney Disease

“…In addition to conventional vital signs (body temperature, pulse rate, respiration rate, and blood pressure), studies have been increasing rapidly in the application of non-invasive screening systems to improve patient safety and predict clinical events in the high risk population [9]. Sudden cardiac death, intricately involved in heart rate variability, is highly prevalent among HD patients; there is, therefore, a need to develop a smart wearable device that has a microchip light emitting diodes (LED) sensor to detect pulse oximeter saturation (SpO2) [10][11][12]. In the post COVID-19 era, that has seen a high incidence of sudden death due to silent hypoxia, clinical assessments that reflect respiratory function would more likely relate to adverse outcomes, particularly in a burden of end-stage renal disease [1][2][3].…”

Implementation of Lightweight eHealth Applications on a Low-Power Embedded Processor

“…IoT eHealth devices generally consist of sensing (hereafter, sensor), communication, and processing (hereafter, hardware architecture) subsystems. On one hand, a variety of small-scale and low-power sensors are expected to be used in eHealth systems such as microelectromechanical (MEMS) technologies [2], [3] with supporting tool-sets for collecting and analyzing motion data obtained from those sensors [4]. Also, energy-efficient communication technolo-gies such as wireless sensors and body sensor networks have been demonstrated [5].…”