ArticleBiosensors2022
Emerging Wearable Biosensor Technologies for Stress Monitoring and Their Real-World Applications.
Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 43 citations in OpenAlex.
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- Emerging trends and clinical challenges in AI-enhanced emotion diagnosis using physiological data.Medical & biological engineering & computing · 2026Review
- Photoplethysmography-based HRV analysis and machine learning for real-time stress quantification in mental health applications.APL bioengineering · 2025Article
- Enhancing safety with an AI-empowered assessment and monitoring system for BSL-3 facilities.Heliyon · 2025Article
- Research progress on the mechanisms of neurosyphilis' impact on cognitive function, early identification, and prevention strategies.Frontiers in neurology · 2025Review
- Sweat, tears, and beyond: advanced wearable sensors for personalized health and athletic performance.Frontiers in bioengineering and biotechnology · 2025Review
- Advances in Wearable Biosensors for Healthcare: Current Trends, Applications, and Future Perspectives.Biosensors · 2024Review
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- Biosensing and Biosensors-Terminologies, Technologies, Theories and Ethics.Geography compass · 2024Review
- Next-Generation swimming pool drowning prevention strategy integrating AI and IoT technologies.Heliyon · 2024Review
- Assessment of ADHD Subtypes Using Motion Tracking Recognition Based on Stroop Color-Word Tests.Sensors (Basel, Switzerland) · 2024Article
- The 3D Printing of Nanocomposites for Wearable Biosensors: Recent Advances, Challenges, and Prospects.Bioengineering (Basel, Switzerland) · 2023Review
- Review
- IoT-based wearable health monitoring device and its validation for potential critical and emergency applications.Frontiers in public health · 2023Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wearable devices are being developed faster and applied more widely. Wearables have been used to monitor movement-related physiological indices, including heartbeat, movement, and other exercise metrics, for health purposes. People are also paying more attention to mental health issues, such as stress management. Wearable devices can be used to monitor emotional status and provide preliminary diagnoses and guided training functions. The nervous system responds to stress, which directly affects eye movements and sweat secretion. Therefore, the changes in brain potential, eye potential, and cortisol content in sweat could be used to interpret emotional changes, fatigue levels, and physiological and psychological stress. To better assess users, stress-sensing devices can be integrated with applications to improve cognitive function, attention, sports performance, learning ability, and stress release. These application-related wearables can be used in medical diagnosis and treatment, such as for attention-deficit hyperactivity disorder (ADHD), traumatic stress syndrome, and insomnia, thus facilitating precision medicine. However, many factors contribute to data errors and incorrect assessments, including the various wearable devices, sensor types, data reception methods, data processing accuracy and algorithms, application reliability and validity, and actual user actions. Therefore, in the future, medical platforms for wearable devices and applications should be developed, and product implementations should be evaluated clinically to confirm product accuracy and perform reliable research.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.