Smart Biomedical and Physiological Sensor Technology XVIII 2021
DOI: 10.1117/12.2587955
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Miniaturized, wireless multi-channel potentiostat platform for wearable sensing and monitoring applications

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Cited by 5 publications
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“…In 2021, a series of home-built potentiostats have been published [14][15][16][17][18][19][20] among which, regarding the hardware, the MYSTAT project from Irving [18] is probably the most advanced DIY potentiostat to date. Using a PIC16F1459 microcontroller, a 20-bit DAC (DAC1220) and a 22-bit ADC (MCP3550-60) and implementing four current ranges, the device covers remarkable ±200 mA at ±12 V, and is (regarding the operational range) comparable with commercial potentiostats.…”
Section: Introductionmentioning
confidence: 99%
“…In 2021, a series of home-built potentiostats have been published [14][15][16][17][18][19][20] among which, regarding the hardware, the MYSTAT project from Irving [18] is probably the most advanced DIY potentiostat to date. Using a PIC16F1459 microcontroller, a 20-bit DAC (DAC1220) and a 22-bit ADC (MCP3550-60) and implementing four current ranges, the device covers remarkable ±200 mA at ±12 V, and is (regarding the operational range) comparable with commercial potentiostats.…”
Section: Introductionmentioning
confidence: 99%
“…Several researchers have attempted to develop new multichannel potentiostats, but they are neither low-cost enough to be used for low-cost POCT (e.g., for detection of COVID-19 outside of a laboratory) nor sensitive and noise-free enough to meet the high sensitivity needs of ultrasensitive electrochemical biosensors ( Alam et al, 2021 ; Park et al, 2022 ; Ramfos et al, 2013 ; Vinoth et al, 2021 ; Wu et al, 2018 ). The output signals of these readers whether square wave, cyclic voltammetry, or impedance ( Pellitero et al, 2021 ), deals with curve-shaped data that needs further data analysis and curve-fitting approaches to obtain the biosensor data, adding to the complexity of the reader ( Abdullah et al, 2019 ; Bianchi et al, 2019 ; Hoilett et al, 2020 ; Pruna et al, 2018 ; Wu et al, 2018 ).…”
Section: Introductionmentioning
confidence: 99%