Supplementary Material for Optimized Sampling Rate for Voltammetry-Based Electrochemical Sensing in Wearable and IoT Applications
收藏IEEE2019-05-27 更新2026-04-17 收录
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https://ieee-dataport.org/documents/supplementary-material-optimized-sampling-rate-voltammetry-based-electrochemical-sensing
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资源简介：
The Voltammetry-Based Sensing (VBS) methods are extremely interesting due to high specificity in several biochemical applications. Several considerations can be applied to use this method to measure different analytes, and implement efficient and optimized electronic measurement platform for point-of-care diagnostic, in wearable, portable, or IoT systems. The dataset contains the data presented in [1], which proves on real experimental data a method to define the optimized setup to develop efficient and electronic bio-sensing platforms. Namely, the dataset contains Scan Cyclic Voltammetry (SCV) and Differential Pulse Voltammetry (DPV) waveform, obtained from APAP (Paracetamol) samples, considering different sampling rate.[1] S. Aiassa, S. Carrara and D. Demarchi, Optimized Sampling Rate for Voltammetry-Based Electrochemical Sensing in Wearable and IoT Applications, in IEEE Sensors Letters. doi: 10.1109/LSENS.2019.2918575.
提供机构：
Politecnico di Torino; École Polytechnique Fédérale de Lausanne
创建时间：
2019-05-27
