Bibliographic Details
| Title: |
High Density Resistive Array Readout System for Wearable Electronics |
| Authors: |
Shanthala Lakshminarayana, Younghun Park, Hyusim Park, Sungyong Jung |
| Source: |
Sensors, Vol 22, Iss 5, p 1878 (2022) |
| Publisher Information: |
MDPI AG, 2022. |
| Publication Year: |
2022 |
| Collection: |
LCC:Chemical technology |
| Subject Terms: |
wearable, flexible, embedded system, high-density resistive array, Bluetooth Low Energy, point-of-care testing, Chemical technology, TP1-1185 |
| More Details: |
This work presents a wearable sensing system for high-density resistive array readout. The system comprising readout electronics for a high-density resistive sensor array and a rechargeable battery, was realized in a wristband. The analyzed data with the proposed system can be visualized using a custom graphical user interface (GUI) developed in a personal computer (PC) through a universal serial bus (USB) and using an Android app in smartphones via Bluetooth Low Energy (BLE), respectively. The readout electronics were implemented on a printed circuit board (PCB) and had a compact dimension of 3 cm × 3 cm. It was designed to measure the resistive sensor with a dynamic range of 1 KΩ–1 MΩ and detect a 0.1% change of the base resistance. The system operated at a 5 V supply voltage, and the overall system power consumption was 95 mW. The readout circuit employed a resistance-to-voltage (R-V) conversion topology using a 16-bit analog-to-digital converter (ADC), integrated in the Cypress Programmable System-on-Chip (PSoC®) 5LP microcontroller. The device behaves as a universal-type sensing system that can be interfaced with a wide variety of resistive sensors, including chemiresistors, piezoresistors, and thermoelectric sensors, whose resistance variations fall in the target measurement range of 1 KΩ–1 MΩ. The system performance was tested with a 60-resistor array and showed a satisfactory accuracy, with a worst-case error rate up to 2.5%. The developed sensing system shows promising results for applications in the field of the Internet of things (IoT), point-of-care testing (PoCT), and low-cost wearable devices. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1424-8220 |
| Relation: |
https://www.mdpi.com/1424-8220/22/5/1878; https://doaj.org/toc/1424-8220 |
| DOI: |
10.3390/s22051878 |
| Access URL: |
https://doaj.org/article/2841f7eb69a74daebd842e5bab65ebbf |
| Accession Number: |
edsdoj.2841f7eb69a74daebd842e5bab65ebbf |
| Database: |
Directory of Open Access Journals |
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