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Smart Sensors for Portable and Remote Measurement
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Smart Sensors for Portable and Remote Measurement

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 5425

Special Issue Editors

Dr. Jianping Li

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Guest Editor
College of Engineering, Zhejiang Normal University, Jinhua, China
Interests: micro/nano sensors and actuators; biosensors
Prof. Dr. Hongwei Zhao

E-Mail Website
Guest Editor
School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130025, China
Interests: in-situ measurement for materials; bionic machinery design and manufacturing
Dr. Tinghai Cheng

E-Mail Website
Guest Editor
Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China
Interests: harvesting of micro/nano energy; self driving sensing and system; mechatronics intelligent equipment
Dr. Jiafeng Yao

E-Mail Website
Guest Editor
College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Interests: bio-microfluidics and electrical impedance tomography
Dr. Jianming Wen

E-Mail Website
Guest Editor
Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology and Equipment of Zhejiang Province, Zhejiang Normal University, Jinhua, China
Interests: micro/nano sensors and actuators
Dr. Song Chen

E-Mail Website
Guest Editor
Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology and Equipment of Zhejiang Province, Zhejiang Normal University, Jinhua, China
Interests: piezoelectric pumps; micro fludics
Dr. Yili Hu

E-Mail Website
Guest Editor
Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology and Equipment of Zhejiang Province, Zhejiang Normal University, Jinhua, China
Interests: piezoelectric energy harvesting; micro/Nano sensors and actuators

Special Issue Information

Dear Colleagues,

With the development of 5G and IoT technology, the demands of smart sensors for portable and remote measurement are increasing rapidly. Smart sensors are widely used in many research and industrial fields, such as the portable biosensing of cancer and blood diseases; and even for wind, rain and vibration detection in remote areas. Therefore, as a consequence of these requirements, it is mandatory to develop fast, simple, easy-to-use, portable, and cost-effective devices for portable and remote detection. This Special Issue will present new work on smart sensors for portable and remote measurement. The principles and applications will be analyzed and discussed deeply.

Dr. Jianping Li
Prof. Dr. Hongwei Zhao
Dr. Tinghai Cheng
Dr. Jiafeng Yao
Dr. Jianming Wen
Dr. Song Chen
Dr. Yili Hu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • smart sensor
  • point of care
  • remote measurement
  • methods of detection
  • electrode materials

Published Papers (2 papers)

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Research

18 pages, 4661 KiB  
Article
Assessment of a 16-Channel Ambulatory Dry Electrode EEG for Remote Monitoring
by Theeban Raj Shivaraja, Rabani Remli, Noorfazila Kamal, Wan Asyraf Wan Zaidi and Kalaivani Chellappan
Sensors 2023, 23(7), 3654; https://doi.org/10.3390/s23073654 - 31 Mar 2023
Cited by 1 | Viewed by 2380
Abstract
Ambulatory EEGs began emerging in the healthcare industry over the years, setting a new norm for long-term monitoring services. The present devices in the market are neither meant for remote monitoring due to their technical complexity nor for meeting clinical setting needs in [...] Read more.
Ambulatory EEGs began emerging in the healthcare industry over the years, setting a new norm for long-term monitoring services. The present devices in the market are neither meant for remote monitoring due to their technical complexity nor for meeting clinical setting needs in epilepsy patient monitoring. In this paper, we propose an ambulatory EEG device, OptiEEG, that has low setup complexity, for the remote EEG monitoring of epilepsy patients. OptiEEG’s signal quality was compared with a gold standard clinical device, Natus. The experiment between OptiEEG and Natus included three different tests: eye open/close (EOC); hyperventilation (HV); and photic stimulation (PS). Statistical and wavelet analysis of retrieved data were presented when evaluating the performance of OptiEEG. The SNR and PSNR of OptiEEG were slightly lower than Natus, but within an acceptable bound. The standard deviations of MSE for both devices were almost in a similar range for the three tests. The frequency band energy analysis is consistent between the two devices. A rhythmic slowdown of theta and delta was observed in HV, whereas photic driving was observed during PS in both devices. The results validated the performance of OptiEEG as an acceptable EEG device for remote monitoring away from clinical environments. Full article
(This article belongs to the Special Issue Smart Sensors for Portable and Remote Measurement)
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11 pages, 6436 KiB  
Article
An Air Velocity Monitor for Coal Mine Ventilation Based on Vortex-Induced Triboelectric Nanogenerator
by Guocheng Shen, Jijie Ma, Yili Hu, Jianping Li, Tinghai Cheng and Jianming Wen
Sensors 2022, 22(13), 4832; https://doi.org/10.3390/s22134832 - 26 Jun 2022
Cited by 6 | Viewed by 2293
Abstract
Air velocity of coal mine ventilation is an important consideration that may cause serious damage. This paper proposes a simple, low cost and effective air velocity monitor (AVM) for coal mine ventilation. The AVM uses the lock-in characteristic of vortex-induced vibration (VIV) to [...] Read more.
Air velocity of coal mine ventilation is an important consideration that may cause serious damage. This paper proposes a simple, low cost and effective air velocity monitor (AVM) for coal mine ventilation. The AVM uses the lock-in characteristic of vortex-induced vibration (VIV) to sense the air velocity. Amplitude of the VIV is converted into frequency signal of a vortex-induced triboelectric nanogenerator (VI-TENG) to improve the durability. Structure of the AVM are designed, and parameters of the AVM are optimized with experiments. For the upper and lower air velocity thresholds of 3.1 and 3.6 m/s, the optimized flexible beam length, slider weight, electrode space and electrode width are 42.5 mm, 0.4 g, 0.2 mm and 0.5 mm, respectively. Experiments also show that the output frequency of the VI-TENG could represent the amplitude of VIV well with the correlation coefficient of 0.93. Durability test demonstrates that the AVM generates stable output frequency in 120,000 cycles. A prototype and its controller are fabricated. Wind tunnel tests of this prototype show that it can give alarm when the gas velocity goes above the upper threshold or below the lower threshold. The proposed AVM could be a good solution for simple and effective coal mine ventilation alarm. Full article
(This article belongs to the Special Issue Smart Sensors for Portable and Remote Measurement)
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