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Novel Approaches to Mobile and Smart Technology for Healthcare from...
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Novel Approaches to Mobile and Smart Technology for Healthcare from a Human Factor Perspective

A special issue of Healthcare (ISSN 2227-9032).

Deadline for manuscript submissions: 30 April 2024 | Viewed by 4773

Special Issue Editor

Prof. Dr. Min-Chi Chiu

E-Mail Website1 Website2
Guest Editor
Department of Industrial Engineering and Management, National Chin Yi University of Technology, Taichung 41170, Taiwan
Interests: ergonomics; biomechanics; gerontechnology; ambient intelligence; decision making
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the advance of information technology, more and more mobile and smart technology has been widely applied in diverse healthcare fields, including at homes, communities, hospitals, and care centers. Smart mobile technology, which integrates with the IoT, mobile Internet, cloud computing, big data, 5G, microelectronics, and artificial intelligence, makes healthcare more efficient, precise, convenient, and individualized. On the other hand, these mobile and smart technologies play a critical role in avoiding human error, assisting accurate diagnoses, and enhancing medical quality in healthcare services and management. Thus, the usability of mobile and smart technology, comprising user-friendly, human-centered design and user experience should be taken into consideration.

This Special Issue intends to provide novel approaches to mobile and smart technology for enhancing healthcare from a human factor perspective. These details will hold great interest for researchers of ambient intelligence, healthcare, smart technology, healthcare quality, quantitative management, mobile commerce, system science, and information management, as well as for practicing managers and engineers.

Prof. Dr. Min-Chi Chiu
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. Healthcare 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 2700 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

  • ambient intelligence
  • human-centered design
  • mobile healthcare
  • healthcare management and service
  • assisting diagnosis and treatment

Published Papers (2 papers)

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Research

19 pages, 1250 KiB  
Article
Comparative Analysis of Fall Risk Assessment Features in Community-Elderly and Stroke Survivors: Insights from Sensor-Based Data
by Chia-Hsuan Lee, Tomas Mendoza, Chien-Hua Huang and Tien-Lung Sun
Healthcare 2023, 11(13), 1938; https://0-doi-org.brum.beds.ac.uk/10.3390/healthcare11131938 - 05 Jul 2023
Cited by 1 | Viewed by 1085
Abstract
Fall-risk assessment studies generally focus on identifying characteristics that affect postural balance in a specific group of subjects. However, falls affect a multitude of individuals. Among the groups with the most recurrent fallers are the community-dwelling elderly and stroke survivors. Thus, this study [...] Read more.
Fall-risk assessment studies generally focus on identifying characteristics that affect postural balance in a specific group of subjects. However, falls affect a multitude of individuals. Among the groups with the most recurrent fallers are the community-dwelling elderly and stroke survivors. Thus, this study focuses on identifying a set of features that can explain fall risk for these two groups of subjects. Sixty-five community dwelling elderly (forty-nine female, sixteen male) and thirty-five stroke-survivors (twenty-two male, thirteen male) participated in our study. With the use of an inertial sensor, some features are extracted from the acceleration data of a Timed Up and Go (TUG) test performed by both groups of individuals. A short-form berg balance scale (SFBBS) score and the TUG test score were used for labeling the data. With the use of a 100-fold cross-validation approach, Relief-F and Extra Trees Classifier algorithms were used to extract sets of the top 5, 10, 15, 20, 25, and 30 features. Random Forest classifiers were trained for each set of features. The best models were selected, and the repeated features for each group of subjects were analyzed and discussed. The results show that only the stand duration was an important feature for the prediction of fall risk across all clinical tests and both groups of individuals. Full article
(This article belongs to the Special Issue Novel Approaches to Mobile and Smart Technology for Healthcare from a Human Factor Perspective)
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13 pages, 559 KiB  
Article
The Relationship between Nomophobia, Insomnia, Chronotype, Phone in Proximity, Screen Time, and Sleep Duration in Adults: A Mobile Phone App-Assisted Cross-Sectional Study
by Haitham Jahrami
Healthcare 2023, 11(10), 1503; https://0-doi-org.brum.beds.ac.uk/10.3390/healthcare11101503 - 22 May 2023
Cited by 5 | Viewed by 2988
Abstract
Earlier studies that have investigated the association between nomophobia and insomnia revealed that a strong relationship exists between both variables. This study aimed to explore possible associations between these variables and their impact on physical and mental health outcomes using a cross-sectional study [...] Read more.
Earlier studies that have investigated the association between nomophobia and insomnia revealed that a strong relationship exists between both variables. This study aimed to explore possible associations between these variables and their impact on physical and mental health outcomes using a cross-sectional study design and mobile phone apps to collect data. Using a survey approach, data were collected from 444 participants (52% female, mean age 34 ± 12) using the Nomophobia Questionnaire (NMP-Q), the Insomnia Severity Index (ISI), the Morningness–Eveningness Questionnaire (MEQ) and three Android mobile phone apps. The Plees Tracker, screen time, and pedometer apps aided in collecting data on sleep duration, time spent on screen per day, and how close the phone was to the person. A statistically significant association was noted between nomophobia and insomnia, nomophobia and the eveningness chronotype, and nomophobia and screen time. The eveningness chronotype was also associated with an increased screen time use. The results show that NMP-Q, ISI, and screen time increase according to the chronotype. No statistically significant differences were noted in daily steps or sleep duration according to chronotype. The findings suggest that interventions targeting nomophobia may be beneficial in addressing insomnia among adults, particularly those with an evening chronotype. Future studies should consider exploring the causal relationship between them. Full article
(This article belongs to the Special Issue Novel Approaches to Mobile and Smart Technology for Healthcare from a Human Factor Perspective)
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