Bioinformatics and Human Electrophysiology Laboratory, Department of Informatics, Ionian University, Corfu, Greece.
Telesto Technologies, Athens, Greece.
Adv Exp Med Biol. 2023;1424:23-29. doi: 10.1007/978-3-031-31982-2_2.
Biosensing platforms have gained much attention in clinical practice screening thousands of samples simultaneously for the accurate detection of important markers in various diseases for diagnostic and prognostic purposes. Herein, a framework for the design of an innovative methodological approach combined with data processing and appropriate software in order to implement a complete diagnostic system for Parkinson's disease exploitation is presented. The integrated platform consists of biochemical and peripheral sensor platforms for measuring biological and biometric parameters of examinees, a central collection and management unit along with a server for storing data, and a decision support system for patient's state assessment regarding the occurrence of the disease. The suggested perspective is oriented on data processing and experimental implementation and can provide a powerful holistic evaluation of personalized monitoring of patients or individuals at high risk of manifestation of the disease.
生物传感平台在临床实践中受到了广泛关注，可同时对数千个样本进行分析，以准确检测各种疾病中的重要标志物，从而达到诊断和预后的目的。本文提出了一种创新方法结合数据处理和适当软件的设计框架，以实现帕金森病诊断系统的开发。该集成平台包括生化和外周传感器平台，用于测量受检者的生物和生物计量参数，以及一个中央收集和管理单元以及一个用于存储数据的服务器，以及一个用于评估患者疾病发生状态的决策支持系统。本研究提出的方法侧重于数据处理和实验实现，可为患者或有疾病表现高风险的个体的个性化监测提供强大的整体评估。
