Wearable devices for anxiety &amp; depression: A scoping review

Ahmed, Arfan; Aziz, Sarah; Alzubaidi, Mahmood; Schneider, Jens; Irshaidat, Sara; Serhan, Hashem Abu; Abd‐Alrazaq, Alaa; Solaiman, Barry; Househ, Mowafa

doi:10.1016/j.cmpbup.2023.100095

Cited by 16 publications

(3 citation statements)

References 61 publications

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“…The same paper also suggested that the healthcare system would benefit as the use of these apps may establish a stronger bond with patients by providing a bridge between sessions, thereby helping patients to feel that they are not alone. In a scoping review, Ahmed et al demonstrated the emergence of low-cost, consumer-grade biosensors as a potentially effective self-care monitoring and assessment approach for mental illnesses such as anxiety and depression (43). Most of these are wrist-worn devices such as smart bands and smart watches due to their ability to monitor habits and vital signs without the need for effort or causing any discomfort for the users.…”

Section: Digital Technologies For Mental Health Carementioning

confidence: 99%

Digital technology and mental health during the COVID-19 pandemic: a narrative review with a focus on depression, anxiety, stress, and trauma

Guest,

Vasilevska,

Al-Hamadi

et al. 2023

Front. Psychiatry

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The sudden appearance and devastating effects of the COVID-19 pandemic resulted in the need for multiple adaptive changes in societies, business operations and healthcare systems across the world. This review describes the development and increased use of digital technologies such as chat bots, electronic diaries, online questionnaires and even video gameplay to maintain effective treatment standards for individuals with mental health conditions such as depression, anxiety and post-traumatic stress syndrome. We describe how these approaches have been applied to help meet the challenges of the pandemic in delivering mental healthcare solutions. The main focus of this narrative review is on describing how these digital platforms have been used in diagnostics, patient monitoring and as a treatment option for the general public, as well as for frontline medical staff suffering with mental health issues.

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Section: Digital Technologies For Mental Health Carementioning

confidence: 99%

Digital technology and mental health during the COVID-19 pandemic: a narrative review with a focus on depression, anxiety, stress, and trauma

Guest,

Vasilevska,

Al-Hamadi

et al. 2023

Front. Psychiatry

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“…Wearable technologies and smartphone apps contribute to digital phenotyping, allowing for moment-by-moment assessment of individual characteristics in real-world environments. These tools have been investigated for their utility in characterizing and diagnosing MDD, including analyzing patterns of physical activity, voice samples, light exposure, and smartphone usage data (Lee S. et al, 2021 ; Ahmed A. et al, 2023 ).…”

Section: Introductionmentioning

confidence: 99%

Innova4Health: an integrated approach for prevention of recurrence and personalized treatment of Major Depressive Disorder

Monaco,

Vignapiano,

Piacente

et al. 2024

Front. Artif. Intell.

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BackgroundMajor Depressive Disorder (MDD) is a prevalent mental health condition characterized by persistent low mood, cognitive and physical symptoms, anhedonia (loss of interest in activities), and suicidal ideation. The World Health Organization (WHO) predicts depression will become the leading cause of disability by 2030. While biological markers remain essential for understanding MDD's pathophysiology, recent advancements in social signal processing and environmental monitoring hold promise. Wearable technologies, including smartwatches and air purifiers with environmental sensors, can generate valuable digital biomarkers for depression assessment in real-world settings. Integrating these with existing physical, psychopathological, and other indices (autoimmune, inflammatory, neuroradiological) has the potential to improve MDD recurrence prevention strategies.MethodsThis prospective, randomized, interventional, and non-pharmacological integrated study aims to evaluate digital and environmental biomarkers in adolescents and young adults diagnosed with MDD who are currently taking medication. The study implements a sensor-integrated platform built around an open-source “Pothos” air purifier system. This platform is designed for scalability and integration with third-party devices. It accomplishes this through software interfaces, a dedicated app, sensor signal pre-processing, and an embedded deep learning AI system. The study will enroll two experimental groups (10 adolescents and 30 young adults each). Within each group, participants will be randomly allocated to Group A or Group B. Only Group B will receive the technological equipment (Pothos system and smartwatch) for collecting digital biomarkers. Blood and saliva samples will be collected at baseline (T0) and endpoint (T1) to assess inflammatory markers and cortisol levels.ResultsFollowing initial age-based stratification, the sample will undergo detailed classification at the 6-month follow-up based on remission status. Digital and environmental biomarker data will be analyzed to explore intricate relationships between these markers, depression symptoms, disease progression, and early signs of illness.ConclusionThis study seeks to validate an AI tool for enhancing early MDD clinical management, implement an AI solution for continuous data processing, and establish an AI infrastructure for managing healthcare Big Data. Integrating innovative psychophysical assessment tools into clinical practice holds significant promise for improving diagnostic accuracy and developing more specific digital devices for comprehensive mental health evaluation.

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“…With wearables becoming more ubiquitous, the opportunity has emerged for researchers to analyze rich sensor data that are captured continuously, passively, and pragmatically with minimal user burden [7][8][9]. For instance, several reviews of the research regarding wearable sensors for mental health management have highlighted the potential of wearables as a useful tool for self-care (eg, episode detection and intervention) and for facilitating remote psychiatric monitoring [4,[10][11][12]. The use of this approach was perhaps most apparent during the COVID-19 pandemic, when remote data collection methods became necessary, and wearables allowed web-based studies with large cohorts to continue despite government-mandated restrictions on in-person contact [7].…”

Section: Introductionmentioning

confidence: 99%

Use of Consumer Wearables in Health Research: Issues and Considerations

Dobson,

Stowell,

Warren

et al. 2023

J Med Internet Res

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As wearable devices, which allow individuals to track and self-manage their health, become more ubiquitous, the opportunities are growing for researchers to use these sensors within interventions and for data collection. They offer access to data that are captured continuously, passively, and pragmatically with minimal user burden, providing huge advantages for health research. However, the growth in their use must be coupled with consideration of their potential limitations, in particular, digital inclusion, data availability, privacy, ethics of third-party involvement, data quality, and potential for adverse consequences. In this paper, we discuss these issues and strategies used to prevent or mitigate them and recommendations for researchers using wearables as part of interventions or for data collection.

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Wearable devices for anxiety & depression: A scoping review

Cited by 16 publications

References 61 publications

Digital technology and mental health during the COVID-19 pandemic: a narrative review with a focus on depression, anxiety, stress, and trauma

Digital technology and mental health during the COVID-19 pandemic: a narrative review with a focus on depression, anxiety, stress, and trauma

Innova4Health: an integrated approach for prevention of recurrence and personalized treatment of Major Depressive Disorder

Use of Consumer Wearables in Health Research: Issues and Considerations

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