Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review
Recently, there has been an increase in the production of devices to monitor mental health and stress as means for expediting detection, and subsequent management of these conditions. The objective of this review is to identify and critically appraise the most recent smart devices and wearable techn...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/10/3461 |
| _version_ | 1797533878377775104 |
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| author | Blake Anthony Hickey Taryn Chalmers Phillip Newton Chin-Teng Lin David Sibbritt Craig S. McLachlan Roderick Clifton-Bligh John Morley Sara Lal |
| author_facet | Blake Anthony Hickey Taryn Chalmers Phillip Newton Chin-Teng Lin David Sibbritt Craig S. McLachlan Roderick Clifton-Bligh John Morley Sara Lal |
| author_sort | Blake Anthony Hickey |
| collection | DOAJ |
| description | Recently, there has been an increase in the production of devices to monitor mental health and stress as means for expediting detection, and subsequent management of these conditions. The objective of this review is to identify and critically appraise the most recent smart devices and wearable technologies used to identify depression, anxiety, and stress, and the physiological process(es) linked to their detection. The MEDLINE, CINAHL, Cochrane Central, and PsycINFO databases were used to identify studies which utilised smart devices and wearable technologies to detect or monitor anxiety, depression, or stress. The included articles that assessed stress and anxiety unanimously used heart rate variability (HRV) parameters for detection of anxiety and stress, with the latter better detected by HRV and electroencephalogram (EGG) together. Electrodermal activity was used in recent studies, with high accuracy for stress detection; however, with questionable reliability. Depression was found to be largely detected using specific EEG signatures; however, devices detecting depression using EEG are not currently available on the market. This systematic review highlights that average heart rate used by many commercially available smart devices is not as accurate in the detection of stress and anxiety compared with heart rate variability, electrodermal activity, and possibly respiratory rate. |
| first_indexed | 2024-03-10T11:21:56Z |
| format | Article |
| id | doaj.art-63b856137adb429482b9df56598485b5 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T11:21:56Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-63b856137adb429482b9df56598485b52023-11-21T19:56:07ZengMDPI AGSensors1424-82202021-05-012110346110.3390/s21103461Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic ReviewBlake Anthony Hickey0Taryn Chalmers1Phillip Newton2Chin-Teng Lin3David Sibbritt4Craig S. McLachlan5Roderick Clifton-Bligh6John Morley7Sara Lal8Neuroscience Research Unit, School of Life Sciences, University of Technology Sydney, Broadway, Sydney, NSW 2007, AustraliaNeuroscience Research Unit, School of Life Sciences, University of Technology Sydney, Broadway, Sydney, NSW 2007, AustraliaSchool of Nursing and Midwifery, Western Sydney University, Penrith, NSW 2747, AustraliaAustralian AI Institute, University of Technology Sydney, Broadway, Sydney, NSW 2007, AustraliaSchool of Public Health, University of Technology Sydney, Broadway, Sydney, NSW 2007, AustraliaCentre for Healthy Futures, Torrens University, Sydney, NSW 2009, AustraliaKolling Institute for Medical Research, Royal North Shore Hospital, St Leonards, NSW 2064, AustraliaSchool of Medicine, Western Sydney University, Penrith, NSW 2747, AustraliaNeuroscience Research Unit, School of Life Sciences, University of Technology Sydney, Broadway, Sydney, NSW 2007, AustraliaRecently, there has been an increase in the production of devices to monitor mental health and stress as means for expediting detection, and subsequent management of these conditions. The objective of this review is to identify and critically appraise the most recent smart devices and wearable technologies used to identify depression, anxiety, and stress, and the physiological process(es) linked to their detection. The MEDLINE, CINAHL, Cochrane Central, and PsycINFO databases were used to identify studies which utilised smart devices and wearable technologies to detect or monitor anxiety, depression, or stress. The included articles that assessed stress and anxiety unanimously used heart rate variability (HRV) parameters for detection of anxiety and stress, with the latter better detected by HRV and electroencephalogram (EGG) together. Electrodermal activity was used in recent studies, with high accuracy for stress detection; however, with questionable reliability. Depression was found to be largely detected using specific EEG signatures; however, devices detecting depression using EEG are not currently available on the market. This systematic review highlights that average heart rate used by many commercially available smart devices is not as accurate in the detection of stress and anxiety compared with heart rate variability, electrodermal activity, and possibly respiratory rate.https://www.mdpi.com/1424-8220/21/10/3461wearable devicessmart technologyelectroencephalogramheart rate variabilityanxietydepression |
| spellingShingle | Blake Anthony Hickey Taryn Chalmers Phillip Newton Chin-Teng Lin David Sibbritt Craig S. McLachlan Roderick Clifton-Bligh John Morley Sara Lal Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review Sensors wearable devices smart technology electroencephalogram heart rate variability anxiety depression |
| title | Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review |
| title_full | Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review |
| title_fullStr | Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review |
| title_full_unstemmed | Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review |
| title_short | Smart Devices and Wearable Technologies to Detect and Monitor Mental Health Conditions and Stress: A Systematic Review |
| title_sort | smart devices and wearable technologies to detect and monitor mental health conditions and stress a systematic review |
| topic | wearable devices smart technology electroencephalogram heart rate variability anxiety depression |
| url | https://www.mdpi.com/1424-8220/21/10/3461 |
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