Wake-up with no pain: The Impact of Different Wake-up Ringtones on Awakening Status

Authors

  • Jingzhe Li
  • Yujia Zhang
  • Jingtian Wamg
  • Hanting Gao
  • Jiawen Liu

DOI:

https://doi.org/10.61173/sx1jp669

Keywords:

alarm clock, sleep, wake-up process, stress, PPG

Abstract

The awakening process sets the tone for daily performance. Traditional alarm sounds like radar or sirens, are often abrupt and startling, which can trigger stress response and emotional problems. Existing research that focuses on human physiological indicators during arousal has not reached the impact of wake-up alarms. This study aims to apply photoplethysmographic (PPG) and electrodermal activity (EDA) sensors to meticulously assess the physical and emotional impact triggered by different alarm tones during wake-up process. Those includes human stress responses such as heart rate, EDA, and emotional state. We selected four type of alarm clock sounds, bird singing, ocean sound, radar sound and old telephone. Participants in this study will first put on EDA and PPG sensors before they take a quick sleep. Then, they will be awakened by either natural or harsh wake-up alarms without knowing it in advance. During the experiment, EDA and PPG sensors were used to monitor their physiological states and the data will be analyzed to identify stress patterns and trends. We specially focus on the sudden change when the alarm goes off and the recovery process followed by. The results indicate that participants awaken to harsh alarms had a more intense change in heart rate and emotional stress, while the signal in group of natural sounds was smoother. Our findings provide empirical evidence on the relationship between wake-up alarm sounds and stress responses. There is strong evidence(p-value<0.025) that arousal with more natural sounds causes less heart rate and emotional changes.

References

[1] Dutheil, F. et al. (2021). Effects of a Short Daytime Nap on the Cognitive Performance: A Systematic Review and Meta- Analysis. International Journal of Environmental Research and Public Health, p.10212. [Online]. Available at: doi:10.3390/ ijerph181910212.

[2] Gozes, I. (2011). NAP (Davunetide) Provides Functional and Structural Neuroprotection. Current Pharmaceutical Design, 17 (10), pp.1040–1044. [Online]. Available at: doi:10.2174/138161211795589373.

[3] Dhand, R. and Sohal, H. (2007). Good sleep, bad sleep! The role of daytime naps in healthy adults. Current Opinion in Internal Medicine, pp.91–94. [Online]. Available at: doi:10.1097/01.mcp.0000245703.92311.d0.

[4] Morales‐Cané, I. et al. (2022). Impact of sound levels on physiological and consciousness state of cardiovascular patients. Nursing in Critical Care, 27 (2), pp.240–250. [Online]. Available at: doi:10.1111/nicc.12746.

[5] Wang, J., Zhang, Y. and Liu, Y. (2022) annual sleep report of China. Beijing, Beijing: Social Sciences Literature Publishing House · Group Studies Publishing Branch.

[6] Ganguly, G. (2011). “Alarm Clock” Headaches. Journal of Clinical Sleep Medicine, 07 (06), pp.681–682. [Online]. Available at: doi:10.5664/jcsm.1486.

[7] Pitman, R. K. et al. (2012). Biological studies of posttraumatic stress disorder. Nature Reviews Neuroscience, pp.769– 787. [Online]. Available at: doi:10.1038/nrn3339. Crabb, Peter B. TECHNOLOGY AND SELF-REGULATION: THE CASE OF ALARM CLOCK USE, Social Behavior and Personality: an international journal, Volume 31, Number 4, 2003, pp. 343- 347(5)

[8] Crabb, P. B. (2003). TECHNOLOGY AND SELF- REGULATION: THE CASE OF ALARM CLOCK USE. Social Behavior and Personality: an international journal, 31 (4), pp.343–347. [Online]. Available at: doi:10.2224/ sbp.2003.31.4.343.

[9] Herrmann, M. (2023) The hidden consequences of alarm clocks: How they impact your health, Medium. Available at: https://medium.com/@max.herr/the-hidden-consequencesof-alarm-clocks-how-they-impact-your-health-b928dab4a942 (Accessed: 24 August 2024).

[10] Kumar, S. et al. (2018). Smart Alarm Clock. In: 2018 3rd International Conference on Communication and Electronics Systems (ICCES). October 2018. [Online]. Available at: doi:10.1109/cesys.2018.8724024.

[11] Landry, B. M., Pierce, J. S. and Isbell, C. L. (2004). Supporting routine decision-making with a next-generation alarm clock. Personal and Ubiquitous Computing, 8 (3–4), pp.154–160. [Online]. Available at: doi:10.1007/s00779-004- 0274-y.

[12] Goshvarpour, A., Abbasi, A. and Goshvarpour, A. (2017). An accurate emotion recognition system using ECG and GSR signals and matching pursuit method. Biomedical Journal, pp.355–368. [Online]. Available at: doi:10.1016/ j.bj.2017.11.001.

[13] Pishghadam, R. et al. (2024) ‘Cognition-emotion interaction during L2 sentence comprehension: The correlation of ERP and GSR responses to sense combinations’, Journal of Psycholinguistic Research, 53(1). doi:10.1007/s10936-024- 10039-y.

[14] Rinella, S. et al. (2022). Emotion Recognition: Photoplethysmography and Electrocardiography in Comparison. Biosensors, p.811. [Online]. Available at: doi:10.3390/ bios12100811.

[15] Benchekroun, M. et al. (2022). Comparison of Stress Detection through ECG and PPG signals using a Random Forestbased Algorithm. In: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). July 2022. [Online]. Available at: doi:10.1109/ embc48229.2022.9870984.

[16] Santoro, R. et al. (2014). Encoding of Natural Sounds at Multiple Spectral and Temporal Resolutions in the Human Auditory Cortex. PLoS Computational Biology, p.e1003412. [Online]. Available at: doi:10.1371/journal.pcbi.1003412. Dean&Francis

[17] Theunissen, F. E. and Elie, J. E. (2014). Neural processing of natural sounds. Nature Reviews Neuroscience, 15 (6), pp.355–366. [Online]. Available at: doi:10.1038/nrn3731.

[18] Candan, Ç. and Inan, H. (2014). A unified framework for derivation and implementation of Savitzky–Golay filters. Signal Processing, 104, pp.203–211. [Online]. Available at: doi:10.1016/j.sigpro.2014.04.016.

[19] Ok, J. et al. (2024). Wearable and Implantable Cortisol Sensing Electronics for Stress Monitoring. Advanced Materials, 36 (1). [Online]. Available at: doi:10.1002/adma.ww202211595.

[20] Qasim MS, Bari DS, Martinsen ØG. Influence of ambient temperature on tonic and phasic electrodermal activity components. Physiol Meas. 2022 Jun 28;43(6).

[21] Horn M, Fovet T, Vaiva G, Thomas P, Amad A, D’Hondt F. Emotional response in depersonalization: A systematic review of electrodermal activity studies. J Affect Disord. 2020 Nov 1;276:877-882.

[22] Boucsein, W. (2012). Electrodermal Activity. [Online]. Available at: doi:10.1007/978-1-4614-1126-0.

[23] Thayer, Julian F., and Richard D. Lane. 2007. “The Role of Vagal Function in the Risk for Cardiovascular Disease and Mortality.” Biological Psychology 74 (2): 224–42. doi:10.1016/ j.biopsycho.2005.11.013.

[24] Luo, X. et al. (2024) ‘The relationship between emotional disorders and heart rate variability: A Mendelian randomization study’, PLOS ONE, 19(3). doi:10.1371/journal.pone.0298998.

Downloads

Published

2024-10-29