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Wearable Sensor for Healthcare and Environment Monitoring
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Wearable Sensor for Healthcare and Environment Monitoring

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

Deadline for manuscript submissions: closed (12 March 2021) | Viewed by 10657

Special Issue Editor

Prof. Dr. Tran Quang Trung

E-Mail Website
Guest Editor
Advanced Materials Science and Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si, Gyeonggi-do, Korea
Interests: materials and devices for wearable electronics; flexible-stretchable physical sensors; flexible-stretchable bio-chemical sensors; wearable photodetector; wearable point-of-care testings

Special Issue Information

Dear Colleagues,

The recent developments in wearable sensors have received tremendous attention from both academia and industry. In particular, wearable sensors are conformable, non-invasive, and capable of real-time monitoring various essential electrical, mechanical, thermal, chemical, and biological signals from human body or environment around the human body, and are showing potential for applications in healthcare and environmental monitoring. Therefore, the rapid developments that have occurred in nanomaterials, concepts in structural design, fabrication techniques, and applications are contributing to significantly progressing wearable sensors.

This Special Issue focuses on state-of-the-art advances in materials, structural design, sensing concepts, fabrication techniques, and methodologies for development of wearable sensors, including temperature, pressure, strain, and humidity sensors; wearable gas sensors; and wearable biosensors. We invite contributors to submit their original and high-quality research articles as well as review papers related to wearable sensors and their applications.

Potential topics include but are not limited to the following:

  • Portable physical and bio-chemical sensors
  • Biosensors for detection of toxicheavy elements 
  • Implantable sensors
  • Photodetectors
  • Fiber-based sensors

Prof. Dr. Tran Quang Trung
Guest Editor

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

  • wearable physical sensor
  • wearable biosensors
  • wearable chemical sensors
  • healthcare monitoring
  • environment monitoring

Published Papers (3 papers)

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Research

10 pages, 17361 KiB  
Communication
Analysis of 3-D Kinematics Using H-Gait System during Walking on a Lower Body Positive Pressure Treadmill
by Yoshiaki Kataoka, Ryo Takeda, Shigeru Tadano, Tomoya Ishida, Yuki Saito, Satoshi Osuka, Mina Samukawa and Harukazu Tohyama
Sensors 2021, 21(8), 2619; https://doi.org/10.3390/s21082619 - 8 Apr 2021
Cited by 2 | Viewed by 2575
Abstract
Recently, treadmills equipped with a lower-body positive-pressure (LBPP) device have been developed to provide precise body weight support (BWS) during walking. Since lower limbs are covered in a waist-high chamber of an LBPP treadmill, a conventional motion analysis using an optical method is [...] Read more.
Recently, treadmills equipped with a lower-body positive-pressure (LBPP) device have been developed to provide precise body weight support (BWS) during walking. Since lower limbs are covered in a waist-high chamber of an LBPP treadmill, a conventional motion analysis using an optical method is impossible to evaluate gait kinematics on LBPP. We have developed a wearable-sensor-based three-dimensional motion analysis system, H-Gait. The purpose of the present study was to investigate the effects of BWS by a LBPP treadmill on gait kinematics using an H-Gait system. Twenty-five healthy subjects walked at 2.5 km/h on a LBPP treadmill under the following three conditions: (1) 0%BWS, (2) 25%BWS and (3) 50%BWS conditions. Acceleration and angular velocity from seven wearable sensors were used to analyze lower limb kinematics during walking. BWS significantly decreased peak angles of hip adduction, knee adduction and ankle dorsiflexion. In particular, the peak knee adduction angle at the 50%BWS significantly decreased compared to at the 25%BWS (p = 0.012) or 0%BWS (p < 0.001). The present study showed that H-Gait system can detect the changes in gait kinematics in response to BWS by a LBPP treadmill and provided a useful clinical application of the H-Gait system to walking exercises. Full article
(This article belongs to the Special Issue Wearable Sensor for Healthcare and Environment Monitoring)
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12 pages, 1143 KiB  
Article
Measurement and Correction of Stooped Posture during Gait Using Wearable Sensors in Patients with Parkinsonism: A Preliminary Study
by Se Hoon Kim, Seo Jung Yun, Quoc Khanh Dang, Youngjoon Chee, Sun Gun Chung, Byung-Mo Oh, Keewon Kim and Han Gil Seo
Sensors 2021, 21(7), 2379; https://doi.org/10.3390/s21072379 - 30 Mar 2021
Cited by 3 | Viewed by 3356
Abstract
Stooped posture, which is usually aggravated during walking, is one of the typical postural deformities in patients with parkinsonism. However, the degree of stooped posture is difficult to quantitatively measure during walking. Furthermore, continuous feedback on posture is also difficult to provide. The [...] Read more.
Stooped posture, which is usually aggravated during walking, is one of the typical postural deformities in patients with parkinsonism. However, the degree of stooped posture is difficult to quantitatively measure during walking. Furthermore, continuous feedback on posture is also difficult to provide. The purpose of this study is to measure the degree of stooped posture during gait and to investigate whether vibration feedback from sensor modules can improve a patient’s posture. Parkinsonian patients with stooped posture were recruited for this study. Two wearable sensors with three-axis accelerometers were attached, one at the upper neck and the other just below the C7 spinous process of the patients. After being calibrated in the most upright posture, the sensors continuously recorded the sagittal angles at 20 Hz and averaged the data at every second during a 6 min walk test. In the control session, the patients walked with the sensors as usual. In the vibration session, sensory feedback was provided through vibrations from the neck sensor module when the sagittal angle exceeded a programmable threshold value. Data were collected and analyzed successfully in a total of 10 patients. The neck flexion and back flexion were slightly aggravated during gait, although the average change was <10° in most patients in both measurement sessions. Therefore, it was difficult to evaluate the effect of sensory feedback through vibration. However, some patients showed immediate response to the feedback and corrected their posture during gait. In conclusion, this preliminary study suggests that stooped posture could be quantitatively measured during gait by using wearable sensors in patients with parkinsonism. Sensory feedback through vibration from sensor modules may help in correcting posture during gait in selected patients. Full article
(This article belongs to the Special Issue Wearable Sensor for Healthcare and Environment Monitoring)
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18 pages, 8431 KiB  
Article
Smart System with Artificial Intelligence for Sensory Gloves
by Idoia Cerro, Iban Latasa, Claudio Guerra, Pedro Pagola, Blanca Bujanda and José Javier Astrain
Sensors 2021, 21(5), 1849; https://doi.org/10.3390/s21051849 - 6 Mar 2021
Cited by 5 | Viewed by 3800
Abstract
This paper presents a new sensory system based on advanced algorithms and machine learning techniques that provides sensory gloves with the ability to ensure real-time connection of all connectors in the cabling of a cockpit module. Besides a microphone, the sensory glove also [...] Read more.
This paper presents a new sensory system based on advanced algorithms and machine learning techniques that provides sensory gloves with the ability to ensure real-time connection of all connectors in the cabling of a cockpit module. Besides a microphone, the sensory glove also includes a gyroscope and three accelerometers that provide valuable information to allow the selection of the appropriate signal time windows recorded by the microphone of the glove. These signal time windows are subsequently analyzed by a convolutional neural network, which indicates whether the connection of the components has been made correctly or not. The development of the system, its implementation in a production industry environment and the results obtained are analyzed. Full article
(This article belongs to the Special Issue Wearable Sensor for Healthcare and Environment Monitoring)
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