Recent Advancements in Sensor Technologies for Healthcare and Biomedical Applications-Reference-Cited by-同舟云学术

Recent Advancements in Sensor Technologies for Healthcare and Biomedical Applications

Published:2023-03-17 Issue:6 Volume:23 Page:3218
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Zheng Wenfeng¹^ORCID,Yang Yichao²,Liu Chao³^ORCID,Zhou Wenshuo⁴^ORCID

Affiliation:

1. School of Automation, University of Electronic Science and Technology of China, Chengdu 610054, China

2. Department of Pharmaceutical Sciences, School of Pharmacy, Bouve College of Health Sciences, Northeastern University, 140 The Fenway, Boston, MA 02115, USA

3. French National Center for Scientific Research (CNRS), LIRMM, 34095 Montpellier, France

4. Lab of Immunoregulation, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics, FDA, 10903 New Hampshire Ave., Silver Spring, MD 20993, USA

Abstract

Biomedical sensors are the key units of medical and healthcare systems [...]

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

https://www.mdpi.com/1424-8220/23/6/3218/pdf

Reference14 articles.

1. Güney, G., Jansen, T.S., Dill, S., Schulz, J.B., Dafotakis, M., Hoog Antink, C., and Braczynski, A.K. (2022). Video-Based Hand Movement Analysis of Parkinson Patients before and after Medication Using High-Frame-Rate Videos and MediaPipe. Sensors, 22.

2. Tsanas, A. (2022). Investigating Wrist-Based Acceleration Summary Measures across Different Sample Rates towards 24-Hour Physical Activity and Sleep Profile Assessment. Sensors, 22.

3. Foroughimehr, N., Vilagosh, Z., Yavari, A., and Wood, A. (2022). The Impact of Base Cell Size Setup on the Finite Difference Time Domain Computational Simulation of Human Cornea Exposed to Millimeter Wave Radiation at Frequencies above 30 GHz. Sensors, 22.

4. Burns, D., Boyer, P., Arrowsmith, C., and Whyne, C. (2022). Personalized Activity Recognition with Deep Triplet Embeddings. Sensors, 22.

5. Gu, Z., Liu, S., Cosentino, S., and Takanishi, A. (2022). Development of a Non-Contacting Muscular Activity Measurement System for Evaluating Knee Extensors Training in Real-Time. Sensors, 22.

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1. Robust human locomotion and localization activity recognition over multisensory;Frontiers in Physiology;2024-02-21

2. Current state of the art and future directions for implantable sensors in medical technology: Clinical needs and engineering challenges;APL Bioengineering;2023-09-01