Bio-impedance is the manner in which a person’s body opposes the applied alternating current in a unique manner. Acquired bio-impedance data is being used for diagnosis of critical diseases condition of various systems in human body. Electrode placement on body surface to sense impedance signal for various systems is unique format for each system. This paper first part focus on design of electrical bio-impedance based acquisition system with patient identification and later part deals with visualizing, analyzing and prediction of disease condition using software tools. Impedance data from 100 patients were acquired using designed system made with surface electrodes, signal generator with variable frequency and amplitude, Microcontroller board to process acquired data. Obtained impedance values at low frequencies are a good source of cardiac related information. Data obtained from bio impedance based multi-parameter monitoring system was visualized and analyzed for the prediction of age and disease condition. The validity of this system was made using intelligent diagnosis system based on IBM SPSS computational algorithms.

生物阻抗是人体以独特的方式抵抗施加的交流电的方式。所获得的生物阻抗数据正用于诊断人体各种系统的重大疾病状况。电极放置在人体表面上以感测各种系统的阻抗信号对于每种系统都是唯一的格式。本文的第一部分着重于具有患者识别功能的基于生物阻抗的电采集系统的设计，其后部分利用软件工具进行可视化，分析和预测疾病状况。使用表面电极，频率和幅度可变的信号发生器，微控制器板处理设计的系统，从100位患者中获取阻抗数据。在低频处获得的阻抗值是与心脏有关的信息的良好来源。从基于生物阻抗的多参数监测系统获得的数据可视化并进行分析，以预测年龄和疾病状况。该系统的有效性是使用基于IBM SPSS计算算法的智能诊断系统进行的。