Is this your profile?
Claim your Citation Index profile in order to display more information about you and gain access to Libraries services. Just create or connect your ORCID iD.
Create or connect your ORCID iD
Works (6)
Updated: April 5th, 2024 09:55
2023 journal article
Biodegradable elastomeric circuit boards from citric acid-based polyesters
NPJ FLEXIBLE ELECTRONICS, 7(1).
doi.org (publisher)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: June 19, 2023
2023 article
Liquid Metal Coated Textiles with Autonomous Electrical Healing and Antibacterial Properties
Yang, J., Nithyanandam, P., Kanetkar, S., Kwon, K. Y., Ma, J., Im, S., … Dickey, M. D. (2023, April 2). ADVANCED MATERIALS TECHNOLOGIES, Vol. 4.
author keywords: gallium; mechanical sintering; breathable e-textile; healing; wearable electronics; antibacteria
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: April 24, 2023
2021 journal article
Microphysiological System for High-Throughput Computer Vision Measurement of Microtissue Contraction
ACS SENSORS, 6(3), 985–994.
author keywords: high throughput; 3D culture; tissue function; tissue contraction; computer vision
MeSH headings : Computers; Fibroblasts; High-Throughput Screening Assays; Humans; Image Processing, Computer-Assisted
TL;DR:
An inexpensive, versatile, high-throughput platform to measure microtissue contraction in a 96-well plate configuration using one-step batch imaging and an algorithm uses pixel-based image analysis and computer vision techniques for the accurate multiwell quantification of positional changes in the optical microprobes caused by the contraction of the microtissues.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science; OpenAlex)
Source: Web Of Science
Added: May 10, 2021
2021 journal article
Toward Automated Analysis of Fetal Phonocardiograms: Comparing Heartbeat Detection from Fetal Doppler and Digital Stethoscope Signals
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 975–979.
Event: 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) at Mexico on November 1-5, 2021
MeSH headings : Female; Fetal Monitoring; Heart Rate; Humans; Neural Networks, Computer; Pregnancy; Signal Processing, Computer-Assisted; Stethoscopes
TL;DR:
This work implemented two neural network architectures for heartbeat detection on a set of fetal phonocardiogram signals captured using fetal Doppler and a digital stethoscope, and shows a Convolutional Neural Network is the most efficient at identifying the S1 waveforms in a heartbeat.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 25, 2022
2016 conference paper
Nanocellulose electrodes for interfacing plant electrochemistry
2016 ieee sensors.
Source: NC State University Libraries
Added: August 6, 2018
2016 conference paper
Towards a sweat-based wireless and wearable electrochemical sensor
2016 ieee sensors.
Source: NC State University Libraries
Added: August 6, 2018
Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.
Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.