“Sensing the Mind”: An Exploratory Study About Sensors Used in E-Health and M-Health Applications for Diagnosis of Mental Health Condition

Ghosh, Ahona; Dey, Sharmistha

doi:10.1007/978-3-030-66633-0_12

Cited by 4 publications

(1 citation statement)

References 40 publications

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“…Nowadays, different sensors and IoT devices can readily be used to passively collect various health data-including physical activity, social interaction, sleep, and mobility patterns-and make inferences about mental and physical health. 18,54 The potential of using IoT in the context of mental health applications has been hardly harnessed. 38 The IoT promises many benefits to streamlining and enhancing health care delivery to proactively predict health issues.…”

Section: Discussionmentioning

confidence: 99%

A gamified app for supporting undergraduate students’ mental health: A feasibility and usability study

Nicolaidou

Lambrinos

2022

DIGITAL HEALTH

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Resilience, a person's mental ability to deal with challenging situations adaptively, is an important life skill. Supporting students in building psychological resilience and coping during crises (with the COVID-19 pandemic being a prime example) is crucial. Very few mobile applications (apps) for mental health explicitly report behavioral change techniques. Moreover, only a handful of the apps that support resilience are gamified, or use smartphone sensors readily available in modern smartphones for health self-management, or were designed for use by a nonclinical population. This study describes the design of a prototype for a gamified, theory-based mobile app that utilizes the Internet of Things to provide personalized data and enhance undergraduate students’ resilience. A total of 74 participants evaluated the prototype and completed an online questionnaire during the COVID-19 lockdowns. The questionnaire included questions examining the design's feasibility for supporting resilience and questions on the System Usability Scale evaluating its usability. Regarding the evaluation of the prototype on improving psychological resilience, positive responses ( M = 3.76 out of 5, SD = 0.82) were received for all functions (goal setting for studying, socializing and physical exercise, progress monitoring using sensors or self-reporting, reflection, motivational badges). The System Usability Scale returned an evaluation score of 72.9, indicating a satisfactory degree of usability. The resilience app is a promising proof of concept. Combining Internet of Things capabilities with active user interaction while incorporating behavior change techniques in a gamified environment was well accepted by students. Implications for the design of gamified environments for well-being are drawn. Future research will empirically validate its design using quasi-experimental methods.

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Section: Discussionmentioning

confidence: 99%

A gamified app for supporting undergraduate students’ mental health: A feasibility and usability study

Nicolaidou

Lambrinos

2022

DIGITAL HEALTH

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Analysis of barriers of mHealth adoption in the context of sustainable operational practices in health care supply chains

Swain

Muduli

Luthra³

2023

IJIEOM

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PurposeThe goal of this research is to analyse the obstacles to the implementation of mobile health (mHealth) in India and to gain an understanding of the contextual inter-relationships that exist amongst those obstacles.Design/methodology/approachPotential barriers and their interrelationships in their respective contexts have been uncovered. Using MICMAC analysis, the categorization of these barriers was done based on their degree of reliance and driving power (DP). Furthermore, an interpretive structural modeling (ISM) framework for the barriers to mHealth activities in India has been proposed.FindingsThe study explores a total of 15 factors that reduce the efficiency of mHealth adoption in India. The findings of the Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) investigation show that the economic situation of the government, concerns regarding the safety of intellectual technologies and privacy issues are the primary obstacles because of the significant driving power they have in mHealth applications.Practical implicationsPromoters of mHealth practices may be able to make better plans if they understand the social barriers and how they affect each other; this leads to easier adoption of these practices. The findings of this study might be helpful for governments of developing nations to produce standards relating to the deployment of mHealth; this will increase the efficiency with which it is adopted.Originality/valueAt this time, there is no comprehensive analysis of the factors that influence the adoption of mobile health care with social cognitive theory in developing nations like India. In addition, there is a lack of research in investigating how each of these elements affects the success of mHealth activities and how the others interact with them. Because developed nations learnt the value of mHealth practices during the recent pandemic, this study, by investigating the obstacles to the adoption of mHealth and their inter-relationships, makes an important addition to both theory and practice.

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An Explainable Deep Learning Approach for EEG- Induced Motor Imagery Classification

Ganguly,

Ghosh,

Dey

et al. 2023

2023 IEEE 20th India Council International Conference (INDICON)

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“Sensing the Mind”: An Exploratory Study About Sensors Used in E-Health and M-Health Applications for Diagnosis of Mental Health Condition

Cited by 4 publications

References 40 publications

A gamified app for supporting undergraduate students’ mental health: A feasibility and usability study

A gamified app for supporting undergraduate students’ mental health: A feasibility and usability study

Analysis of barriers of mHealth adoption in the context of sustainable operational practices in health care supply chains

An Explainable Deep Learning Approach for EEG- Induced Motor Imagery Classification

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