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Electrocardiography (ECG) is a non-invasive technique used to measure the electrical activity of the heart. In addition to its clinical applications, ECG has been used in behavioral research and psychology to investigate the link between heart activity and emotional and cognitive processes.
For example, a study by Kreibig et al. (2015) found that changes in ECG parameters were associated with emotional responses to pictures and sounds. Similarly, Hansen et al. (2003) used ECG to study the effects of stress on cognitive performance, and found that stress led to changes in heart rate variability and other ECG parameters.
ECG has also been used to investigate social and interpersonal processes. For instance, a study by Laborde et al. (2018) found that ECG parameters were related to perceived social support and loneliness. In another study, Porges et al. (2019) used ECG to investigate the physiological correlates of social behavior and found that measures of heart rate variability were related to social engagement.
Overall, ECG is a valuable tool in behavioral and psychological research, providing a non-invasive and objective measure of physiological activity that can help to shed light on complex emotional and cognitive processes.
One of the most common applications of ECG is the measurement of heart rate variability (HRV), which reflects the changes in the time intervals between successive heartbeats. HRV analysis has been used in various fields of research, including psychology, neuroscience, and medicine, as it provides insights into autonomic nervous system function and stress reactivity.
According to a study by Thoma et al. (2013), HRV measured by ECG was found to be a reliable and sensitive indicator of stress response in a cognitive task. Another study by Kemp et al. (2018) showed that ECG-derived HRV can be used to assess the impact of sleep on cognitive performance. In the field of psychiatry, a study by Carnevali et al. (2020) found that HRV measured by ECG can be a useful tool in the assessment and treatment of anxiety disorders.
Overall, ECG-based HRV analysis is a valuable tool in the study of autonomic nervous system function, stress reactivity, and cognitive and emotional processes. It has the potential to contribute to the development of personalized medicine and psychological interventions.
Abstract—This study was concerned with the development
and testing of online cognitive-load monitoring methods by
means of a working-memory experiment using electrocar-
diogram (ECG) analyses for future applications in mixed-
initiative human-machine interaction (HMI).
Waterproof up to 7 days monitoring
Bittium Faros ECG sensor supports multiple applications. Bittium Faros is the smallest ECG sensor offering unprecedented comfort for the subject/patient
Bittium Faros ECG faros supports EDF data format which allows the use of variety of software for ECG Monitoring
Designed, developed and manufactured by Bittium. Bititum has more than 25 years experience in the field of electrophysiology.
For multimodal integration, data can be streamed through Bluetooth and LSL protocol which makes multimodal integration easier and more flexible.
By pushing the button, the device send events/markers which are saved in the data
Measure discreetly under the clothing with easy-to-use wearable patches or cable set for snap-on electrodes. The Patches resist to extreme conditions such as humidity or high sweatings
For deeper and advanced behavioral study, activity/motion and temperature data are recorded
Data are saved in the device without any extra device or laptop/computer. If you are streaming the data through Bluetooth and having communication issue, the data are saved anyways in the device as a backup. That decrease the risk to loose data and provide more confidence during your experiment
Beside being waterproof, Faros Sensor resists to high sweating and activities. Thank you to the patch fixation which offers unprecedented confort and such flexibility.
- One channel ECG
- IP67 waterproof
- ECG sampling up to 1000 Hz, adjustable
- 3D acceleration sampling up to 100Hz, adjustable
- Bluetooth: API available, range up to 100m
- Memory capacity up to 180 days*
- Recharging time: ca. 1.5 hours
- Data transfer: Micro-USB download
- Data format: EDF (European Data Format)
For more insights involving the subject's visual attention, GazeIntelligence developed a unique application to observe remotely live
HRV data (Heart Rate Variability) combined with eye tracking glasses data on a single windows tablet.
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