From lab to real-life: A three-stage validation of wearable technology for stress monitoring
Stress negatively impacts health, contributing to hypertension, cardiovascular diseases, and immune dysfunction. While conventional diagnostic methods, such as self-reported questionnaires and basic physiological measurements, often lack the objectivity and precision needed for effective stress mana...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | MethodsX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016125000536 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1825199443012485120 |
|---|---|
| author | Basil A. Darwish Shafiq Ul Rehman Ibrahim Sadek Nancy M. Salem Ghada Kareem Lamees N. Mahmoud |
| author_facet | Basil A. Darwish Shafiq Ul Rehman Ibrahim Sadek Nancy M. Salem Ghada Kareem Lamees N. Mahmoud |
| author_sort | Basil A. Darwish |
| collection | DOAJ |
| description | Stress negatively impacts health, contributing to hypertension, cardiovascular diseases, and immune dysfunction. While conventional diagnostic methods, such as self-reported questionnaires and basic physiological measurements, often lack the objectivity and precision needed for effective stress management, wearable devices present a promising avenue for early stress detection and management. This study conducts a three-stage validation of wearable technology for stress monitoring, transitioning from controlled experimental data to real-life scenarios. Using the controlled WESAD dataset, binary and five-class classification models were developed, achieving maximum accuracies of 99.78 %±0.15 % and 99.61 %±0.32 %, respectively. Electrocardiogram (ECG), Electrodermal Activity (EDA), and Respiration (RESP) were identified as reliable stress biomarkers. Validation was extended to the SWEET dataset, representing real-life data, to confirm generalizability and practical applicability. Furthermore, commercially available wearables supporting these modalities were reviewed, providing recommendations for optimal configurations in dynamic, real-world conditions. These findings demonstrate the potential of multimodal wearable devices to bridge the gap between controlled studies and practical applications, advancing early stress detection systems and personalized stress management strategies. • Stress detection methods were validated using multimodal wearable data in controlled (WESAD) and real-life (SWEET) datasets. • Commercial wearable technologies were reviewed, offering insights into their applicability for practical stress monitoring. |
| format | Article |
| id | doaj-art-ade09166b98943268e624e0dcedbded6 |
| institution | Kabale University |
| issn | 2215-0161 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | MethodsX |
| spelling | doaj-art-ade09166b98943268e624e0dcedbded62025-02-08T05:00:31ZengElsevierMethodsX2215-01612025-06-0114103205From lab to real-life: A three-stage validation of wearable technology for stress monitoringBasil A. Darwish0Shafiq Ul Rehman1Ibrahim Sadek2Nancy M. Salem3Ghada Kareem4Lamees N. Mahmoud5Biomedical Engineering Department, Faculty of Engineering, Helwan University, Egypt; Computer Science, Artificial Intelligence Programme, University of Hertfordshire hosted by Global Academic Foundation, Egypt; Corresponding author.College of Information Technology, Kingdom University, Kingdom of BahrainBiomedical Engineering Department, Faculty of Engineering, Helwan University, EgyptBiomedical Engineering Department, Faculty of Engineering, Helwan University, EgyptDepartment of Biomedical Engineering, Higher Technological Institute, 10th Ramadan City, EgyptBiomedical Engineering Department, Faculty of Engineering, Helwan University, EgyptStress negatively impacts health, contributing to hypertension, cardiovascular diseases, and immune dysfunction. While conventional diagnostic methods, such as self-reported questionnaires and basic physiological measurements, often lack the objectivity and precision needed for effective stress management, wearable devices present a promising avenue for early stress detection and management. This study conducts a three-stage validation of wearable technology for stress monitoring, transitioning from controlled experimental data to real-life scenarios. Using the controlled WESAD dataset, binary and five-class classification models were developed, achieving maximum accuracies of 99.78 %±0.15 % and 99.61 %±0.32 %, respectively. Electrocardiogram (ECG), Electrodermal Activity (EDA), and Respiration (RESP) were identified as reliable stress biomarkers. Validation was extended to the SWEET dataset, representing real-life data, to confirm generalizability and practical applicability. Furthermore, commercially available wearables supporting these modalities were reviewed, providing recommendations for optimal configurations in dynamic, real-world conditions. These findings demonstrate the potential of multimodal wearable devices to bridge the gap between controlled studies and practical applications, advancing early stress detection systems and personalized stress management strategies. • Stress detection methods were validated using multimodal wearable data in controlled (WESAD) and real-life (SWEET) datasets. • Commercial wearable technologies were reviewed, offering insights into their applicability for practical stress monitoring.http://www.sciencedirect.com/science/article/pii/S2215016125000536Lab-to-Real Multimodal Stress Detection Framework |
| spellingShingle | Basil A. Darwish Shafiq Ul Rehman Ibrahim Sadek Nancy M. Salem Ghada Kareem Lamees N. Mahmoud From lab to real-life: A three-stage validation of wearable technology for stress monitoring MethodsX Lab-to-Real Multimodal Stress Detection Framework |
| title | From lab to real-life: A three-stage validation of wearable technology for stress monitoring |
| title_full | From lab to real-life: A three-stage validation of wearable technology for stress monitoring |
| title_fullStr | From lab to real-life: A three-stage validation of wearable technology for stress monitoring |
| title_full_unstemmed | From lab to real-life: A three-stage validation of wearable technology for stress monitoring |
| title_short | From lab to real-life: A three-stage validation of wearable technology for stress monitoring |
| title_sort | from lab to real life a three stage validation of wearable technology for stress monitoring |
| topic | Lab-to-Real Multimodal Stress Detection Framework |
| url | http://www.sciencedirect.com/science/article/pii/S2215016125000536 |
| work_keys_str_mv | AT basiladarwish fromlabtoreallifeathreestagevalidationofwearabletechnologyforstressmonitoring AT shafiqulrehman fromlabtoreallifeathreestagevalidationofwearabletechnologyforstressmonitoring AT ibrahimsadek fromlabtoreallifeathreestagevalidationofwearabletechnologyforstressmonitoring AT nancymsalem fromlabtoreallifeathreestagevalidationofwearabletechnologyforstressmonitoring AT ghadakareem fromlabtoreallifeathreestagevalidationofwearabletechnologyforstressmonitoring AT lameesnmahmoud fromlabtoreallifeathreestagevalidationofwearabletechnologyforstressmonitoring |