Use Case | Communications/Measuring Stress
Communications | Use Case
Measuring Stress Remotely
Quality of Life Technologies (QoLTs) help health professionals monitor patients remotely. One such technique uses machine learning to monitor stress remotely by recording variation in heart rate, skin temperature, pulse, pupil dilatation, electrodermal activity, etc. Participant responses can be recorded using wearable physiological sensors during neutral and cognitive/speaking tasks to detect real-time stress remotely.
The Challenge // Responses in Natural Settings
- Detect real-time stress remotely
- Record variation in heart rate, skin temperature, pulse plethysmography (PPG), pupil dilatation, electrodermal activity (EDA) using wearable physiological sensors
The Research // Goals
- Record physiological variables during stress induction (public speaking and cognitive task)
- Measure plasma cortisol levels during the tasks
- Measure subjective anxiety using a questionnaire
The Solution // Technology
- Record Electrodermal Activity (EDA) and Pulse (PPG)
- Calculate heart rate variability (HRV)
- Induce stress by employing videography
The Results
- Real-time stress was detected with a very high accuracy and precision
- There was a bias to categorize non-stressful states as stressful
Benefits
- Test concepts with individuals and small groups
- Portable solution for in-home and remote testing
- Larger group studies in-lab, theater, concert, and stadium settings
- Test the user experience in natural settings
Technology Options
- Wireless BioNomadix to record EDA and PPG reflecting level of stress
- Functional near infrared spectroscopy (fNIRS) for frontal cerebral blood flow during speaking and cognitive tasks
- Facial electromyography (fEMG) to estimate level of stress
- Virtual reality for simulated environments
Related Use Cases
Design evaluation–dashboard, control panels, etc.
Mental health studies
Doctor/Patient relationship evaluation
Other Industries
Public health
Aerospace
Prognosis assessment
Selected Citations
- Lee, Y., & Lee, M. (2008). SMS Application Using EMG Signal of Clenching Teeth for e-Health Communication | Telemedicine and e-Health (liebertpub.com) Telemedicine and e-Health, 14(6), 593-597. A system was developed using short message service where the user enters data using the method of teeth clenching and Morse Code. The clenching of teeth can be measured using EMG. BIOPAC Product: BioNomadix EMG
- Toyomura, A., Yuasa, M., & Kuriki, S. (2011, September). Experimental design for face-to-face vocal communication in MRI/MEG environment | IEEE Conference Publication | IEEE Xplore. In SICE Annual Conference 2011 (pp. 1608-1609). IEEE. Speech motor control is one of the most complex ones in human’s motor controls. Although a face-to-face communication is an important aspect of actual vocal communication, its neural mechanisms have not sufficiently investigated until now. BIOPAC Product: BioNomadix EDA
- Sandulescu, V., Andrews, S., Ellis, D., Bellotto, N., & Mozos, O. M. (2015, June). Stress Detection Using Wearable Physiological Sensors | SpringerLink. In International work-conference on the interplay between natural and artificial computation (pp. 526-532). Springer, Cham. As the population increases in the world, the ratio of health carers is rapidly decreasing. Therefore, there is an urgent need to create new technologies to monitor the physical and mental health of people during their daily life. BIOPAC Product: MP150
- Sep, M. S., Van Osch, M., Van Vliet, L. M., Smets, E. M., & Bensing, J. M. (2014). The power of clinicians’ affective communication: how reassurance about non-abandonment can reduce patients’ physiological arousal and increase information recall in bad news consultations. An experimental study using analogue patients. Patient education and counseling, 95(1), 45-52. The diagnosis of incurable cancer may evoke physiological arousal in patients. Physiological arousal can negatively impact patients’ recall of information provided in the medical consultation. BIOPAC Product: ETV Eye Tracking
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