A wearable health monitoring system for posttraumatic stress disorder

McWhorter, James; Brown, Lucas; Khansa, Lara

doi:10.1016/j.bica.2017.09.004

Cited by 26 publications

(18 citation statements)

References 16 publications

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“…To conclude, parameters considered are feasible based on system efficiency, battery life and adaptability. The future scope is to engineer this design prototype for a real-time system [12].…”

Section: Iot System To Track Mental Stability In Patientsmentioning

confidence: 99%

“…McWhorter and Brown et al [12] proposed a comprehensive paper for a wearable monitoring system that is used for tracking sleep patterns, nightmares signs and in the attempt to control them or awaken the patient peacefully [13]. This may help out a patient's lifestyle dealing with post-traumatic stress disorder (PTSD).…”

Section: Iot System For Post-traumatic Stress Disorder (Ptsd)mentioning

confidence: 99%

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INDUSTRY 4.0: A Comprehensive Review of Artificial Intelligence, Machine Learning, Big Data and IoT in Psychiatric Health Care

Panwar¹,

Malhotra²,

Malhotra³

2021

Lecture Notes in Networks and Systems

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It has been quite well known that modern psychiatric treatments bring along certain side effects and current treatment models are unable to precisely address the complexity of mental illness issues. As a result, there has been a major focus to search and adopt applications of information and communication technology (ICT) as a mode for some additional psychological treatment and alternative diagnose with the help of various technologies. Therefore, the objective of this study is to analyze the technological aspects of using virtual reality, artificial intelligence, machine learning, IoT and big data analytics in the mental healthcare industry. In this review paper, we have accumulated some of the remarkable studies and done a comprehensive analysis of various potential technologies in the field of psychiatric health care and the need for these technologies for improving the quality and accuracy of diagnosis for the patients.

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Section: Iot System To Track Mental Stability In Patientsmentioning

confidence: 99%

Section: Iot System For Post-traumatic Stress Disorder (Ptsd)mentioning

confidence: 99%

INDUSTRY 4.0: A Comprehensive Review of Artificial Intelligence, Machine Learning, Big Data and IoT in Psychiatric Health Care

Panwar¹,

Malhotra²,

Malhotra³

2021

Lecture Notes in Networks and Systems

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“…McWhorter, Brown and Khansa [51] discussed a wearable health monitoring system for post-traumatic stress disorder. The system tends to decrease the nightmares of those who suffer from post-traumatic stress disorder (PTSD) by monitoring sleep conditions.…”

Section: Care Systemsmentioning

confidence: 99%

“…Figure 12 presents a suggested system that should be further developed and examined adopted from Zhu, Diethe, Camplani, Tao, Burrows, Twomey, Kaleshi, Mirmehdi, Flach and Craddock [54]. Figure 13 shows a typical plan of a smart home, including: (1) a system for Parkinson's disease screening [55]; (2) a system for gathering complementary data [54]; and (3) a system to decrease the nightmares [51]. Further information of a disease screening has been discussed by Chiuchisan and Geman [55] since they proposed an intelligent system for monitoring people who are suffering from Parkinson's disease in their homes and takes advantage of (1) a mouse equipped device that has three sensors for measuring pressure and one sensor as an accelerometer.…”

Section: Care Systemsmentioning

confidence: 99%

“…Figure 13. A typical plan of a smart home, including three smart systems, for enhancing the living environment: (i) a system for Parkinson's disease screening [55] that is visualized in layout number 1 by authors, (ii) a system for gathering complementary data to make a dataset that can manage different health conditions by monitoring [54] that is visualized in layout number 2 by authors, and (iii) a system that can decrease the nightmares of those suffering from PTSD [51] that is visualized in layout number 3 by authors. Note: The location of sensors is schematically shown in the figure and can be relocated.…”

Section: Care Systemsmentioning

confidence: 99%

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A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart Home

et al. 2020

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This article reviewed the state-of-the-art applications of the Internet of things (IoT) technology applied in homes for making them smart, automated, and digitalized in many respects. The literature presented various applications, systems, or methods and reported the results of using IoT, artificial intelligence (AI), and geographic information system (GIS) at homes. Because the technology has been advancing and users are experiencing IoT boom for smart built environment applications, especially smart homes and smart energy systems, it is necessary to identify the gaps, relation between current methods, and provide a coherent instruction of the whole process of designing smart homes. This article reviewed relevant papers within databases, such as Scopus, including journal papers published in between 2010 and 2019. These papers were then analyzed in terms of bibliography and content to identify more related systems, practices, and contributors. A designed systematic review method was used to identify and select the relevant papers, which were then reviewed for their content by means of coding. The presented systematic critical review focuses on systems developed and technologies used for smart homes. The main question is ”What has been learned from a decade trailing smart system developments in different fields?”. We found that there is a considerable gap in the integration of AI and IoT and the use of geospatial data in smart home development. It was also found that there is a large gap in the literature in terms of limited integrated systems for energy efficiency and aged care system development. This article would enable researchers and professionals to fully understand those gaps in IoT-based environments and suggest ways to fill the gaps while designing smart homes where users have a higher level of thermal comfort while saving energy and greenhouse gas emissions. This article also raised new challenging questions on how IoT and existing developed systems could be improved and be further developed to address other issues of energy saving, which can steer the research direction to full smart systems. This would significantly help to design fully automated assistive systems to improve quality of life and decrease energy consumption.

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Exploring New Opportunities for Mental Healthcare Through the Internet of Things (IoT)

Folkerts

Wetering

Bosua

et al. 2020

Health Information Science

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A wearable health monitoring system for posttraumatic stress disorder

Cited by 26 publications

References 16 publications

INDUSTRY 4.0: A Comprehensive Review of Artificial Intelligence, Machine Learning, Big Data and IoT in Psychiatric Health Care

INDUSTRY 4.0: A Comprehensive Review of Artificial Intelligence, Machine Learning, Big Data and IoT in Psychiatric Health Care

A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart Home

Exploring New Opportunities for Mental Healthcare Through the Internet of Things (IoT)

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