Supplementary Material for Optimized Sampling Rate for Voltammetry-Based Electrochemical Sensing in Wearable and IoT Applications

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.

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[1] Simone Aiassa, Sandro Carrara, Danilo Demarchi, "Supplementary Material for Optimized Sampling Rate for Voltammetry-Based Electrochemical Sensing in Wearable and IoT Applications", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/g9bn-sn96. Accessed: Feb. 23, 2020.
@data{g9bn-sn96-19,
doi = {10.21227/g9bn-sn96},
url = {http://dx.doi.org/10.21227/g9bn-sn96},
author = {Simone Aiassa; Sandro Carrara; Danilo Demarchi },
publisher = {IEEE Dataport},
title = {Supplementary Material for Optimized Sampling Rate for Voltammetry-Based Electrochemical Sensing in Wearable and IoT Applications},
year = {2019} }
TY - DATA
T1 - Supplementary Material for Optimized Sampling Rate for Voltammetry-Based Electrochemical Sensing in Wearable and IoT Applications
AU - Simone Aiassa; Sandro Carrara; Danilo Demarchi
PY - 2019
PB - IEEE Dataport
UR - 10.21227/g9bn-sn96
ER -
Simone Aiassa, Sandro Carrara, Danilo Demarchi. (2019). Supplementary Material for Optimized Sampling Rate for Voltammetry-Based Electrochemical Sensing in Wearable and IoT Applications. IEEE Dataport. http://dx.doi.org/10.21227/g9bn-sn96
Simone Aiassa, Sandro Carrara, Danilo Demarchi, 2019. Supplementary Material for Optimized Sampling Rate for Voltammetry-Based Electrochemical Sensing in Wearable and IoT Applications. Available at: http://dx.doi.org/10.21227/g9bn-sn96.
Simone Aiassa, Sandro Carrara, Danilo Demarchi. (2019). "Supplementary Material for Optimized Sampling Rate for Voltammetry-Based Electrochemical Sensing in Wearable and IoT Applications." Web.
1. Simone Aiassa, Sandro Carrara, Danilo Demarchi. Supplementary Material for Optimized Sampling Rate for Voltammetry-Based Electrochemical Sensing in Wearable and IoT Applications [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/g9bn-sn96
Simone Aiassa, Sandro Carrara, Danilo Demarchi. "Supplementary Material for Optimized Sampling Rate for Voltammetry-Based Electrochemical Sensing in Wearable and IoT Applications." doi: 10.21227/g9bn-sn96