Wireless Sensors System for Stress Detection by Means of ECG and EDA Acquisition

Affanni, Antonio

doi:10.3390/s20072026

Cited by 38 publications

(31 citation statements)

References 39 publications

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“…This change in blood flow can be measured through BVP, which is derived from a PPG signal. Change in heart rate and heart rate variability can also be monitored using ECG signals [50,51]. Stress also causes the release of sweat, thus changing skin conductance properties.…”

Section: B Features Related To Stressmentioning

confidence: 99%

A Sensitivity Analysis of Biophysiological Responses of Stress for Wearable Sensors in Connected Health

et al. 2021

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Stress is known as a silent killer that contributes to several life-threatening health conditions such as high blood pressure, heart disease, and diabetes. The current standard for stress evaluation is based on self-reported questionnaires and standardized stress scores. There is no gold standard to independently evaluate stress levels despite the availability of numerous biophysiological stress indicators. With an increasing interest in wearable health monitoring in recent years, several studies have explored the potential of various biophysiological indicators of stress for this purpose. However, there is no clear understanding of the relative sensitivity and specificity of these stress-related biophysiological indicators of stress in the literature. Hence this study aims to perform statistical analysis and classification modelling of biophysiological data gathered from healthy individuals, undergoing various induced emotional states, and to assess the relative sensitivity and specificity of common biophysiological indicators of stress. In this paper, several frequently used key indicators of stress, such as heart rate, respiratory rate, skin conductance, RR interval, heart rate variability in the electrocardiogram, and muscle activation measured by electromyography, are evaluated based on a detailed statistical analysis of the data gathered from an already existing, publicly available WESAD (Wearable Stress and Affect Detection) dataset. Respiratory rate and heart rate were the two best features for distinguishing between stressed and unstressed states.

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Section: B Features Related To Stressmentioning

confidence: 99%

A Sensitivity Analysis of Biophysiological Responses of Stress for Wearable Sensors in Connected Health

et al. 2021

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“…The imperfection of this system is the fact that it also records all stress independent fluctuating parameters that actually occur in the skin and blood vessels. The resulting EDA signal is thus disturbed by adverse effects [ 71 , 108 ]. Therefore, we began to investigate whether these fluctuations could be minimized.…”

Section: Physiological Variables In Stress Measurementmentioning

confidence: 99%

“…Within some experiments, scientists have developed their own designs. One of these offers stress detection from portable ECG and EDA, where authors use two channels EDA and ECG to suppress undesired artifacts [ 108 ]. Another example is the activity recognition system (mental, physical and emotions) based on combination of ECG and respiration sensor, and EDA gloves [ 209 ].…”

Section: Advanced Wearable Stress-metersmentioning

confidence: 99%

The Concept of Advanced Multi-Sensor Monitoring of Human Stress

Vavrinský

Stopjaková

Kopáni

et al. 2021

Sensors

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Many people live under stressful conditions which has an adverse effect on their health. Human stress, especially long-term one, can lead to a serious illness. Therefore, monitoring of human stress influence can be very useful. We can monitor stress in strictly controlled laboratory conditions, but it is time-consuming and does not capture reactions, on everyday stressors or in natural environment using wearable sensors, but with limited accuracy. Therefore, we began to analyze the current state of promising wearable stress-meters and the latest advances in the record of related physiological variables. Based on these results, we present the concept of an accurate, reliable and easier to use telemedicine device for long-term monitoring of people in a real life. In our concept, we ratify with two synchronized devices, one on the finger and the second on the chest. The results will be obtained from several physiological variables including electrodermal activity, heart rate and respiration, body temperature, blood pressure and others. All these variables will be measured using a coherent multi-sensors device. Our goal is to show possibilities and trends towards the production of new telemedicine equipment and thus, opening the door to a widespread application of human stress-meters.

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“…This change in heart rate changes the blood flow within the body. Heart rate and heart rate variability can be monitored using an or electroencephalograph (ECG) signal, while the change in blood flow can be measured through blood volume pulse (BVP), derived from a photoplethysmography (PPG) signal [ 24 , 25 ]. Some studies discussed the release of sweat during stress, which changes the skin conductance measured by the electrodermal activity (EDA) measurement device [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

A Review of Biophysiological and Biochemical Indicators of Stress for Connected and Preventive Healthcare

et al. 2021

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Stress is a known contributor to several life-threatening medical conditions and a risk factor for triggering acute cardiovascular events, as well as a root cause of several social problems. The burden of stress is increasing globally and, with that, is the interest in developing effective stress-monitoring solutions for preventive and connected health, particularly with the help of wearable sensing technologies. The recent development of miniaturized and flexible biosensors has enabled the development of connected wearable solutions to monitor stress and intervene in time to prevent the progression of stress-induced medical conditions. This paper presents a review of the literature on different physiological and chemical indicators of stress, which are commonly used for quantitative assessment of stress, and the associated sensing technologies.

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Wireless Sensors System for Stress Detection by Means of ECG and EDA Acquisition

Cited by 38 publications

References 39 publications

A Sensitivity Analysis of Biophysiological Responses of Stress for Wearable Sensors in Connected Health

A Sensitivity Analysis of Biophysiological Responses of Stress for Wearable Sensors in Connected Health

The Concept of Advanced Multi-Sensor Monitoring of Human Stress

A Review of Biophysiological and Biochemical Indicators of Stress for Connected and Preventive Healthcare

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