{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T15:54:38Z","timestamp":1788364478963,"version":"build-2803163510"},"reference-count":33,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2022,2,27]],"date-time":"2022-02-27T00:00:00Z","timestamp":1645920000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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 \u00d7 3 cm. It was designed to measure the resistive sensor with a dynamic range of 1 K\u2126\u20131 M\u2126 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\u00ae) 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 K\u2126\u20131 M\u2126. 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.<\/jats:p>","DOI":"10.3390\/s22051878","type":"journal-article","created":{"date-parts":[[2022,2,27]],"date-time":"2022-02-27T20:48:33Z","timestamp":1645994913000},"page":"1878","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["High Density Resistive Array Readout System for Wearable Electronics"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1058-1924","authenticated-orcid":false,"given":"Shanthala","family":"Lakshminarayana","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX 76019, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3466-0889","authenticated-orcid":false,"given":"Younghun","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX 76019, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8190-0016","authenticated-orcid":false,"given":"Hyusim","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX 76019, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0749-0394","authenticated-orcid":false,"given":"Sungyong","family":"Jung","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX 76019, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,2,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"13129","DOI":"10.1109\/ACCESS.2017.2789329","article-title":"Enabling Technologies for the Internet of Health Things","volume":"6","author":"Rodrigues","year":"2018","journal-title":"IEEE Access"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Tao, X.M., and Feng, D.D. 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