Development of a Stress Monitoring System Architecture for Heart Rate Measurement
Corresponding author: Miras Tokhtassyn
Abstract
This paper presents the development and experimental validation of a wearable system for stress and cardiovascular monitoring that integrates three sensors: a Photo-Plethysmography (PPG) sensor, a Galvanic Skin Response (GSR) sensor, and a DS18B20 digital temperature sensor. The ESP32 microcontroller serves as the core of the system, performing signal filtering using the Exponential Moving Average (EMA) method and lightweight on-device classification with machine learning models (CNN, LSTM). Wireless communication is enabled using Wi-Fi and Bluetooth Low-Energy (BLE), allowing remote monitoring and cloud-based analytics. The system was tested on 10 volunteers under various physical and emotional scenarios, including sitting, walking, exercising, yoga, cycling, and watching movies. The results demonstrated significant physiological variations: the heart rate increased from 75 bpm at rest to 125 bpm during stress episodes, the skin conductance increased by up to 25%, and body temperature changed by 2-3°C depending on activity level. The embedded ML models achieved a stress classification accuracy of 92% (F1 = 0.90). The prototype also showed high energy efficiency, operating for more than 12 hours on a single charge. The proposed architecture offers promising applications for personalized health monitoring, stress management, and integration with medical information systems (FHIR, HL7).
Keywords:
stress monitoring, cardiovascular indicators, wearable devices, machine learning, IoT, wireless data transmissionDownloads
References
H. Akil and E. J. Nestler, "The neurobiology of stress: Vulnerability, resilience, and major depression," Proceedings of the National Academy of Sciences, vol. 120, no. 49, Dec. 2023, Art. no. e2312662120. DOI: https://doi.org/10.1073/pnas.2312662120
J. Campbell and U. Ehlert, "Acute psychosocial stress: Does the emotional stress response correspond with physiological responses?," Psychoneuroendocrinology, vol. 37, no. 8, pp. 1111–1134, Aug. 2012. DOI: https://doi.org/10.1016/j.psyneuen.2011.12.010
OECD, How’s Life? 2017: Measuring Well-being. OECD, 2017.
V. J. Clemente-Suárez, P. T. Nikolaidis, B. Knechtle, and P. Ruisoto, "Editorial: Psychophysiology of Stress," Frontiers in Psychology, vol. 13, Apr. 2022, Art. no. 896773. DOI: https://doi.org/10.3389/fpsyg.2022.896773
B. Olshansky, F. Ricci, and A. Fedorowski, "Importance of resting heart rate," Trends in Cardiovascular Medicine, vol. 33, no. 8, pp. 502–515, Nov. 2023. DOI: https://doi.org/10.1016/j.tcm.2022.05.006
E. Mejía-Mejía, J. M. May, R. Torres, and P. A. Kyriacou, "Pulse rate variability in cardiovascular health: a review on its applications and relationship with heart rate variability," Physiological Measurement, vol. 41, no. 7, Aug. 2020, Art. no. 07TR01. DOI: https://doi.org/10.1088/1361-6579/ab998c
S. Chen, J. Qi, S. Fan, Z. Qiao, J. C. Yeo, and C. T. Lim, "Flexible Wearable Sensors for Cardiovascular Health Monitoring," Advanced Healthcare Materials, vol. 10, no. 17, Sep. 2021, Art. no. 2100116. DOI: https://doi.org/10.1002/adhm.202100116
X. Yang et al., "The effects of traveling in different transport modes on galvanic skin response (GSR) as a measure of stress: An observational study," Environment International, vol. 156, Nov. 2021, Art. no. 106764. DOI: https://doi.org/10.1016/j.envint.2021.106764
B. Annapurna, A. Manda, A. C. Raj, R. Indira, S. P. Kumari, and V. Nagalakshmi, "Max 30100/30102 Sensor Implementation to Viral Infection Detection Based On Spo2 and Heartbeat Pattern," Annals of the Romanian Society for Cell Biology, vol. 25, no. 2, pp. 2053–2061, 2021.
S. Majumder, T. Mondal, and M. Deen, "Wearable Sensors for Remote Health Monitoring," Sensors, vol. 17, no. 1, Jan. 2017, Art. no. 130. DOI: https://doi.org/10.3390/s17010130
R. R. Sakheran, Q. W. Oung, and H. L. Lee, "A Smartphone-Based Health Monitoring and Management System," in 2024 IEEE 1st International Conference on Communication Engineering and Emerging Technologies (ICoCET), Kepala Batas, Malaysia, Sep. 2024, pp. 1–4. DOI: https://doi.org/10.1109/ICoCET63343.2024.10730141
S. Majumder and M. J. Deen, "Smartphone Sensors for Health Monitoring and Diagnosis," Sensors, vol. 19, no. 9, May 2019, Art. no. 2164. DOI: https://doi.org/10.3390/s19092164
I. Martínez-González-Moro, I. Albertus Cámara, and M. J. Paredes Ruiz, "Influences of Intense Physical Effort on the Activity of the Autonomous Nervous System and Stress, as Measured with Photoplethysmography," International Journal of Environmental Research and Public Health, vol. 19, no. 23, Nov. 2022, Art. no. 16066. DOI: https://doi.org/10.3390/ijerph192316066
K. Singh, P. Thiyagarajan, and P. Sasikumar, "Design and implementation of IoT enabled low cost SPO2 and heart rate monitoring system," in 2022 IEEE Delhi Section Conference (DELCON), New Delhi, India, Feb. 2022, pp. 1–6. DOI: https://doi.org/10.1109/DELCON54057.2022.9753167
S. Güder and H. Güder, "Investigation of the Chemical Content and User Comments on Facial Cleansing Products," Cureus, vol. 15, no. 5, May 2023, Art. no. e38673. DOI: https://doi.org/10.7759/cureus.38673
X. Liu, W. Wei, H. Kuang, and X. Ma, "Heart Rate Measurement Based on 3D Central Difference Convolution with Attention Mechanism," Sensors, vol. 22, no. 2, Jan. 2022, Art. no. 688. DOI: https://doi.org/10.3390/s22020688
C. J. Huang, H. L. Chan, Y. J. Chang, S. M. Chen, and M. J. Hsu, "Validity of the Polar V800 Monitor for Assessing Heart Rate Variability in Elderly Adults under Mental Stress and Dual Task Conditions," International Journal of Environmental Research and Public Health, vol. 18, no. 3, Jan. 2021, Art. no. 869. DOI: https://doi.org/10.3390/ijerph18030869
S. Sen, V. Mishra, and D. Kotz, "Using vibrations from a SmartRing as an out-of-band channel for sharing secret keys," in Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, London, United Kingdom, Sep. 2019, pp. 198–201. DOI: https://doi.org/10.1145/3341162.3343818
M. Salai, I. Vassányi, and I. Kósa, "Stress Detection Using Low Cost Heart Rate Sensors," Journal of Healthcare Engineering, vol. 2016, no. 1, 2016, Art. no. 5136705. DOI: https://doi.org/10.1155/2016/5136705
L. Ciabattoni, F. Ferracuti, S. Longhi, L. Pepa, L. Romeo, and F. Verdini, "Real-time mental stress detection based on smartwatch," Jan. 2017, pp. 110–111. DOI: https://doi.org/10.1109/ICCE.2017.7889247
M. Faulkner et al., "Music Tempo: A Tool for Regulating Walking Cadence and Physical Activity Intensity in Overweight Adults?," International Journal of Environmental Research and Public Health, vol. 18, no. 15, Jul. 2021, Art. no. 7855. DOI: https://doi.org/10.3390/ijerph18157855
K. He et al., "Relationship of resting heart rate and blood pressure with all-cause and cardiovascular disease mortality," Public Health, vol. 208, pp. 80–88, Jul. 2022. DOI: https://doi.org/10.1016/j.puhe.2022.03.020
S. Barik, V. K. Thakur, M. A. Miah, and S. Pal, "Detection of Stress from PPG and GSR Signals using AI Framework," Journal of The Institution of Engineers (India): Series B, Jan. 2025. DOI: https://doi.org/10.1007/s40031-024-01191-z
H. J. Suleiman, I. R. A. Hamid, and O. R. Olaniran, "Smart Health Monitoring for Predicting Heart Disease using IoT-Fog-Cloud Computing Model," Engineering, Technology & Applied Science Research, vol. 15, no. 3, pp. 22565–22572, Jun. 2025. DOI: https://doi.org/10.48084/etasr.10048
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Copyright (c) 2025 Gulnur Tyulepberdinova, Murat Kunelbayev, Gulshat Amirkhanova, Miras Tokhtassyn, Alikhan Amirkhanov
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