A Modular Open Source Health Monitoring Garment

Hewgill, Blake; McGinnis, Ryan S.; Frolík, Jeff

doi:10.1109/embc44109.2020.9175761

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…The majority of the studies (63.5%) included 30 or less participants. 10.8% of the studies included over 100 participants, 4.1% had one subject (Kuijpers et al, 2012;Vila et al, 2019;Hewgill et al, 2020) and 1.4% did not indicate a number of included subjects (Seoane et al, 2014). When looking at the gender distribution, 24.3% of all included studies included more than 60% males, 18.9% included less than 40% males and 29.7% were more or less gender balanced with 40-60% males.…”

Section: Study Populationmentioning

confidence: 99%

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Wearables measuring electrodermal activity to assess perceived stress in care: a scoping review

Klimek

Mannheim

Schouten

et al. 2023

Acta Neuropsychiatr.

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Background: Chronic stress responses can lead to physical and behavioural health problems, often experienced and observed in the care of people with intellectual disabilities or people with dementia. Electrodermal activity (EDA) is a bio-signal for stress, which can be measured by wearables and thereby support stress management. However, the how, when and to what extent patients and healthcare providers can benefit, is unclear. This study aims to create an overview of available wearables enabling the detection of perceived stress by using EDA. Methods: Following the PRISMA-SCR protocol for scoping reviews, four databases were included in the search of peer-reviewed studies published between 2012-2022, reporting detection of EDA in relation to self-reported stress or stress-related behaviours. Type of wearable, bodily location, research population, context, stressor type and the reported relationship between EDA and perceived stress were extracted. Results: Of the 74 included studies, the majority included healthy subjects in laboratory situations. Field studies and studies using machine learning to predict stress have increased in the last years. EDA is most often measured on the wrist, with offline data processing. Studies predicting perceived stress or stress-related behaviour using EDA features, reported accuracies between 42%-100% with an average of 82.6%. Of these studies, the majority used machine learning. Conclusion: Wearable EDA sensors are promising in detecting perceived stress. Field studies with relevant populations in a health or care context are lacking. Future studies should focus on the application of EDA-measuring wearables in real-life situations to support stress management.

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Section: Study Populationmentioning

confidence: 99%

“…not attached to the body). 8.1% of the studies measured EDA on the palmar side of the hand, 2.7% measured on the chest (using the RespiBAN Professional; Jambhale et al, 2022) and torso (custom build garment; Hewgill et al, 2020). Finally, Betancourt et al (2017) measured EDA on the ankle using the affective Q sensor.…”

Section: Wearablesmentioning

confidence: 99%