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Cold water stimulation and its effect on heart rate variability: A short time fourier transform analysis

Yıl 2025, Cilt: 6 Sayı: 2, 79 - 84, 30.08.2025
https://doi.org/10.51753/flsrt.1610372

Öz

This study utilizes cold water consumption as a method of vagus nerve stimulation, investigating how body mass index (BMI) and repeated stimulation affect heart rate variability (HRV) in both time and frequency domains. HRV was measured in 18 subjects (mean age 21.3 ± 1.6 years) over 90 minutes, divided into three equal phases: resting (baseline), first stimulation (FSP), and second stimulation (SSP). Fourier and Short-Time Fourier Transform (STFT) analyses were used to extract the static and time-varying frequency components of HRV. For the normal body mass index (BMI) group, stimulation resulted in statistically significant changes in frequency band power densities compared to their baseline measurements (p<0.05), suggesting that drinking cold water may activate vagal pathways and alter HRV components. For underweight subjects, the very low frequency (VLF) band power density of HRV decreased with stimulation (3.0%) and further depressed with repeated stimulation (6.5%). Low frequency (LF) power density stayed relatively constant with the first stimulation but still increased by 4.1% by shifting of VLF power into this band after the second stimulation, and finally, high frequency (HF) band power density increased after each stimulation up to 2.9%, suggesting that cold water intake shifted the HRV frequency spectrum to higher frequencies in all bands. For normal-weight subjects, after the first stimulation, the LF band power was shifted into both VLF and HF bands. With repetition, the shift was only towards the high frequencies, suggesting that repetition of cold-water intake affects the HRV frequency distribution, and only repetition shifts power to higher frequencies. For obese subjects, the power density shift is towards the low frequencies (5.0% in VLF), and repeated stimulation could only partially recover this shift (4.3%). In all BMI groups, the LF/HF ratio was decreased and was more prominent after the first stimulation. The maximum LF/HF reduction was observed in obese individuals (7.1%), followed by the subsequent highest decline in the normal BMI group (5.2%). This study also highlighted STFT as an effective tool for analyzing temporal changes in HRV, displaying distinct spectral power distribution patterns for each BMI group. Underweight and normal-weight subjects demonstrated an initial increase in HF power density, whereas overweight subjects exhibited a muted response.

Etik Beyan

All measurements are performed at Bahcesehir University, in line with the Helsinki Declarations: all subjects signed and gave informed consent before participating in this study. This study is reviewed and approved by the Ethics Board of Bahcesehir University with the protocol number of 10.05.2024/E 85646034-604.01-81467.

Kaynakça

  • Adamczyk, K., & Polak, A. G. (2021). Comparison of multiband filtering, empirical mode decomposition and short-time Fourier transform used to extract physiological components from long-term heart rate variability. Metrology and Measurement Systems, 28(4), 643-660.
  • Amekran, Y., Damoun, N., & El Hangouche, A. J. (2024). Analysis of frequency-domain heart rate variability using absolute versus normalized values: implications and practical concerns. Frontiers in Physiology, 15, 1470684.
  • Aro, T., Kykyri, V. L., & Penttonen, M. (2025). Exploring the added value of heart rate variability in assessing psychotherapeutic experience: A single case study. Journal of Contemporary Psychotherapy, 1-11.
  • Belica, I., Blasko, F., Sleziak, I., Jansakova, K., Vidosovicova, M., Klenovics, K. S., ... & Mravec, B. (2025). Association of negative affect with resting heart rate variability in medical students. Biological Psychology, 109073.
  • Bremner, J. D., Gurel, N. Z., Wittbrodt, M. T., Shandhi, M. H., Rapaport, M. H., Nye, J. A., ... & Inan, O. T. (2020). Application of noninvasive vagal nerve stimulation to stress-related psychiatric disorders. Journal of Personalized Medicine, 10(3), 119.
  • Chiang, C. T., Chiu, T. W., Jong, Y. S., Chen, G. Y., & Kuo, C. D. (2010). The effect of ice water ingestion on autonomic modulation in healthy subjects. Clinical Autonomic Research, 20(6), 375-380.
  • Claydon, V. E., & Krassioukov, A. V. (2008). Clinical correlates of frequency analyses of cardiovascular control after spinal cord injury. American Journal of Physiology-Heart and Circulatory Physiology, 294(2), H668-H678.
  • Divyabharathi, O., Sundar, A., Mukherjee, C., & Deepika, S. (2019). Analysis of Human Physiological Parameters Using Real-Time HRV Estimation from Acquired ECG Signals. In 2019 International Conference on Data Science and Communication (IconDSC) (pp. 1-4).
  • Dong, J. G. (2016). The role of heart rate variability in sports physiology. Experimental and Therapeutic Medicine, 11(5), 1531-1536.
  • Fisher, R. S., Krauss, G. L., Ramsay, E., Laxer, K., & Gates, J. (1997). Assessment of vagus nerve stimulation for epilepsy: report of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology. Neurology, 49(1), 293-297.
  • Galvez‐Rodriguez, C., Valenzuela‐Reyes, P., Fuentealba‐Sepúlveda, S., Farias‐Valenzuela, C., & Salinas, A. E. (2025). Cold water immersion, heart rate variability and post‐exercise recovery: A systematic review. Physiotherapy Research International, 30(2), e70033.
  • George, M. S., Rush, A. J., Marangell, L. B., Sackeim, H. A., Brannan, S. K., Davis, S. M., ... & Goodnick, P. (2005). A one-year comparison of vagus nerve stimulation with treatment as usual for treatment-resistant depression. Biological Psychiatry, 58(5), 364-373.
  • Grinevich, A. A., & Chemeris, N. K. (2023, August). Spectral analysis of heart rate variability based on the Hilbert–Huang method. In Doklady Biochemistry and Biophysics (Vol. 511, No. 1, pp. 169-172). Moscow: Pleiades Publishing.
  • Hartikainen, J. E., Tahvanainen, K. U., & Kuusela, T. A. (1998). Short-term measurement of heart rate variability. In Clinical Guide to Cardiac Autonomic Tests (pp. 149-176). Dordrecht: Springer Netherlands.
  • Howland, R. H. (2014). Vagus nerve stimulation. Current Behavioral Neuroscience Reports, 1, 64-73.
  • Irurzun, I. M., Tasé, D. A. J., Garavaglia, L., & Defeo, M. M. (2025). Study of heart rate variability in healthy humans as a function of age: considerations on the contribution of the autonomic nervous system and the role of the sinoatrial node. Frontiers in Medicine, 12, 1597299.
  • Jungmann, M., Vencatachellum, S., Van Ryckeghem, D., & Vogele, C. (2018). Effects of cold stimulation on cardiac-vagal activation in healthy participants: randomized controlled trial. JMIR Formative Research, 2(2), e10257.
  • Kwon, O., Jeong, J., Kim, H. B., Kwon, I. H., Park, S. Y., Kim, J. E., & Choi, Y. (2018). Electrocardiogram sampling frequency range acceptable for heart rate variability analysis. Healthcare Informatics Research, 24(3), 198-206.
  • Laborde, S., Allen, M. S., Borges, U., Dosseville, F., Hosang, T. J., Iskra, M., ... & Javelle, F. (2022). Effects of voluntary slow breathing on heart rate and heart rate variability: A systematic review and a meta-analysis. Neuroscience & Biobehavioral Reviews, 138, 104711.
  • Levin, C. J., & Swoap, S. J. (2019). The impact of deep breathing and alternate nostril breathing on heart rate variability: a human physiology laboratory. Advances in Physiology Education, 43(3), 270-276.
  • Molfino, A., Fiorentini, A., Tubani, L., Martuscelli, M., Fanelli, F. R., & Laviano, A. (2009). Body mass index is related to autonomic nervous system activity as measured by heart rate variability. European Journal of Clinical Nutrition, 63(10), 1263-1265.
  • Muhajir, D., Mahananto, F., & Sani, N. A. (2022). Stress level measurements using heart rate variability analysis on android based application. Procedia Computer Science, 197, 189-197.
  • Murray, K., Rude, K. M., Sladek, J., & Reardon, C. (2021). Divergence of neuroimmune circuits activated by afferent and efferent vagal nerve stimulation in the regulation of inflammation. The Journal of Physiology, 599(7), 2075-2084.
  • Nunan, D., Sandercock, G. R., & Brodie, D. A. (2010). A quantitative systematic review of normal values for short‐term heart rate variability in healthy adults. Pacing Clin. Electrophysiol., 33(11), 1407-1417.
  • Nuttall, F. Q. (2015). Body mass index: obesity, BMI, and health: a critical review. Nutrition Today, 50(3), 117-128.
  • Ocalan, G. H., Seckin, I., Maz, E., Kurt, M. C., Matur, F., & Buyuksarac, B. (2023). Frequency analysis of heart rate variability with cold water intake. In 2023 Medical Technologies Congress (TIPTEKNO) (pp. 1-4). IEEE.
  • Pereira, T., Carvalho, R., & Conde, J. (2017). Heart rate variability, arterial function and reflected waves in healthy and young participants-studying the physiological effect of cold water ingestion. International Journal of Research, 2(9), 16-22.
  • Qin, Y. J., Zhang, Y. C., Lin, Y., Hong, Y., Sun, X., Xu, F., & Chen, C. (2025). Autonomic nervous system imbalance in diabetic mouse choroids. Tissue and Cell, 94, 102798.
  • Shaffer, F., & Ginsberg, J. P. (2017). An overview of heart rate variability metrics and norms. Frontiers in Public Health, 5, 258.
  • Shekarforoush, S., & Fardaee, M. (2020). The effects of hydration status on cardiovascular system: a review. Food & Health, 3(2), 9-14.
  • Speer, K. E., Koenig, J., Telford, R. M., Olive, L. S., Mara, J. K., Semple, S., ... & McKune, A. J. (2021). Relationship between heart rate variability and body mass index: A cross-sectional study of preschool children. Preventive Medicine Reports, 24, 101638.
  • Stakenborg, N., Di Giovangiulio, M., Boeckxstaens, G. E., & Matteoli, G. (2013). The versatile role of the vagus nerve in the gastrointestinal tract. European Medical Journal Gastroenterology, 1.
  • Stanley, J., Peake, J. M., & Buchheit, M. (2013a). Cardiac parasympathetic reactivation following exercise: implications for training prescription. Sports Medicine, 43, 1259-1277.
  • Stanley, J., Peake, J. M., & Buchheit, M. (2013b). Consecutive days of cold water immersion: effects on cycling performance and heart rate variability. European Journal of Applied Physiology, 113, 371-384.
  • Struven, A., Holzapfel, C., Stremmel, C., & Brunner, S. (2021). Obesity, nutrition and heart rate variability. International Journal of Molecular Sciences, 22(8), 4215.
  • Triggiani, A. I., Valenzano, A., Ciliberti, M. a. P., Moscatelli, F., Villani, S., Monda, M., Messina, G., Federici, A., Babiloni, C., & Cibelli, G. (2015). Heart rate variability is reduced in underweight and overweight healthy adult women. Clinical Physiology and Functional Imaging, 37(2), 162-167.
  • Usui, H., & Nishida, Y. (2017). The very low-frequency band of heart rate variability represents the slow recovery component after a mental stress task. PloS One, 12(8), e0182611.
  • Yadav, R. L., Yadav, P. K., Yadav, L. K., Agrawal, K., Sah, S. K., & Islam, M. N. (2017). Association between obesity and heart rate variability indices: an intuition toward cardiac autonomic alteration–a risk of CVD. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 57-64.
  • Zhong, Y., Jan, K. M., Ju, K. H., & Chon, K. H. (2006). Quantifying cardiac sympathetic and parasympathetic nervous activities using principal dynamic modes analysis of heart rate variability. American Journal of Physiology-Heart and Circulatory Physiology, 291(3), H1475-H1483.

Cold water stimulation and its effect on heart rate variability: A short time fourier transform analysis

Yıl 2025, Cilt: 6 Sayı: 2, 79 - 84, 30.08.2025
https://doi.org/10.51753/flsrt.1610372

Öz

This study utilizes cold water consumption as a method of vagus nerve stimulation, investigating how body mass index (BMI) and repeated stimulation affect heart rate variability (HRV) in both time and frequency domains. HRV was measured in 18 subjects (mean age 21.3 ± 1.6 years) over 90 minutes, divided into three equal phases: resting (baseline), first stimulation (FSP), and second stimulation (SSP). Fourier and Short-Time Fourier Transform (STFT) analyses were used to extract the static and time-varying frequency components of HRV. For the normal body mass index (BMI) group, stimulation resulted in statistically significant changes in frequency band power densities compared to their baseline measurements (p<0.05), suggesting that drinking cold water may activate vagal pathways and alter HRV components. For underweight subjects, the very low frequency (VLF) band power density of HRV decreased with stimulation (3.0%) and further depressed with repeated stimulation (6.5%). Low frequency (LF) power density stayed relatively constant with the first stimulation but still increased by 4.1% by shifting of VLF power into this band after the second stimulation, and finally, high frequency (HF) band power density increased after each stimulation up to 2.9%, suggesting that cold water intake shifted the HRV frequency spectrum to higher frequencies in all bands. For normal-weight subjects, after the first stimulation, the LF band power was shifted into both VLF and HF bands. With repetition, the shift was only towards the high frequencies, suggesting that repetition of cold-water intake affects the HRV frequency distribution, and only repetition shifts power to higher frequencies. For obese subjects, the power density shift is towards the low frequencies (5.0% in VLF), and repeated stimulation could only partially recover this shift (4.3%). In all BMI groups, the LF/HF ratio was decreased and was more prominent after the first stimulation. The maximum LF/HF reduction was observed in obese individuals (7.1%), followed by the subsequent highest decline in the normal BMI group (5.2%). This study also highlighted STFT as an effective tool for analyzing temporal changes in HRV, displaying distinct spectral power distribution patterns for each BMI group. Underweight and normal-weight subjects demonstrated an initial increase in HF power density, whereas overweight subjects exhibited a muted response.

Etik Beyan

All measurements are performed at Bahcesehir University, in line with the Helsinki Declarations: all subjects signed and gave informed consent before participating in this study. This study is reviewed and approved by the Ethics Board of Bahcesehir University with the protocol number of 10.05.2024/E 85646034-604.01-81467.

Kaynakça

  • Adamczyk, K., & Polak, A. G. (2021). Comparison of multiband filtering, empirical mode decomposition and short-time Fourier transform used to extract physiological components from long-term heart rate variability. Metrology and Measurement Systems, 28(4), 643-660.
  • Amekran, Y., Damoun, N., & El Hangouche, A. J. (2024). Analysis of frequency-domain heart rate variability using absolute versus normalized values: implications and practical concerns. Frontiers in Physiology, 15, 1470684.
  • Aro, T., Kykyri, V. L., & Penttonen, M. (2025). Exploring the added value of heart rate variability in assessing psychotherapeutic experience: A single case study. Journal of Contemporary Psychotherapy, 1-11.
  • Belica, I., Blasko, F., Sleziak, I., Jansakova, K., Vidosovicova, M., Klenovics, K. S., ... & Mravec, B. (2025). Association of negative affect with resting heart rate variability in medical students. Biological Psychology, 109073.
  • Bremner, J. D., Gurel, N. Z., Wittbrodt, M. T., Shandhi, M. H., Rapaport, M. H., Nye, J. A., ... & Inan, O. T. (2020). Application of noninvasive vagal nerve stimulation to stress-related psychiatric disorders. Journal of Personalized Medicine, 10(3), 119.
  • Chiang, C. T., Chiu, T. W., Jong, Y. S., Chen, G. Y., & Kuo, C. D. (2010). The effect of ice water ingestion on autonomic modulation in healthy subjects. Clinical Autonomic Research, 20(6), 375-380.
  • Claydon, V. E., & Krassioukov, A. V. (2008). Clinical correlates of frequency analyses of cardiovascular control after spinal cord injury. American Journal of Physiology-Heart and Circulatory Physiology, 294(2), H668-H678.
  • Divyabharathi, O., Sundar, A., Mukherjee, C., & Deepika, S. (2019). Analysis of Human Physiological Parameters Using Real-Time HRV Estimation from Acquired ECG Signals. In 2019 International Conference on Data Science and Communication (IconDSC) (pp. 1-4).
  • Dong, J. G. (2016). The role of heart rate variability in sports physiology. Experimental and Therapeutic Medicine, 11(5), 1531-1536.
  • Fisher, R. S., Krauss, G. L., Ramsay, E., Laxer, K., & Gates, J. (1997). Assessment of vagus nerve stimulation for epilepsy: report of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology. Neurology, 49(1), 293-297.
  • Galvez‐Rodriguez, C., Valenzuela‐Reyes, P., Fuentealba‐Sepúlveda, S., Farias‐Valenzuela, C., & Salinas, A. E. (2025). Cold water immersion, heart rate variability and post‐exercise recovery: A systematic review. Physiotherapy Research International, 30(2), e70033.
  • George, M. S., Rush, A. J., Marangell, L. B., Sackeim, H. A., Brannan, S. K., Davis, S. M., ... & Goodnick, P. (2005). A one-year comparison of vagus nerve stimulation with treatment as usual for treatment-resistant depression. Biological Psychiatry, 58(5), 364-373.
  • Grinevich, A. A., & Chemeris, N. K. (2023, August). Spectral analysis of heart rate variability based on the Hilbert–Huang method. In Doklady Biochemistry and Biophysics (Vol. 511, No. 1, pp. 169-172). Moscow: Pleiades Publishing.
  • Hartikainen, J. E., Tahvanainen, K. U., & Kuusela, T. A. (1998). Short-term measurement of heart rate variability. In Clinical Guide to Cardiac Autonomic Tests (pp. 149-176). Dordrecht: Springer Netherlands.
  • Howland, R. H. (2014). Vagus nerve stimulation. Current Behavioral Neuroscience Reports, 1, 64-73.
  • Irurzun, I. M., Tasé, D. A. J., Garavaglia, L., & Defeo, M. M. (2025). Study of heart rate variability in healthy humans as a function of age: considerations on the contribution of the autonomic nervous system and the role of the sinoatrial node. Frontiers in Medicine, 12, 1597299.
  • Jungmann, M., Vencatachellum, S., Van Ryckeghem, D., & Vogele, C. (2018). Effects of cold stimulation on cardiac-vagal activation in healthy participants: randomized controlled trial. JMIR Formative Research, 2(2), e10257.
  • Kwon, O., Jeong, J., Kim, H. B., Kwon, I. H., Park, S. Y., Kim, J. E., & Choi, Y. (2018). Electrocardiogram sampling frequency range acceptable for heart rate variability analysis. Healthcare Informatics Research, 24(3), 198-206.
  • Laborde, S., Allen, M. S., Borges, U., Dosseville, F., Hosang, T. J., Iskra, M., ... & Javelle, F. (2022). Effects of voluntary slow breathing on heart rate and heart rate variability: A systematic review and a meta-analysis. Neuroscience & Biobehavioral Reviews, 138, 104711.
  • Levin, C. J., & Swoap, S. J. (2019). The impact of deep breathing and alternate nostril breathing on heart rate variability: a human physiology laboratory. Advances in Physiology Education, 43(3), 270-276.
  • Molfino, A., Fiorentini, A., Tubani, L., Martuscelli, M., Fanelli, F. R., & Laviano, A. (2009). Body mass index is related to autonomic nervous system activity as measured by heart rate variability. European Journal of Clinical Nutrition, 63(10), 1263-1265.
  • Muhajir, D., Mahananto, F., & Sani, N. A. (2022). Stress level measurements using heart rate variability analysis on android based application. Procedia Computer Science, 197, 189-197.
  • Murray, K., Rude, K. M., Sladek, J., & Reardon, C. (2021). Divergence of neuroimmune circuits activated by afferent and efferent vagal nerve stimulation in the regulation of inflammation. The Journal of Physiology, 599(7), 2075-2084.
  • Nunan, D., Sandercock, G. R., & Brodie, D. A. (2010). A quantitative systematic review of normal values for short‐term heart rate variability in healthy adults. Pacing Clin. Electrophysiol., 33(11), 1407-1417.
  • Nuttall, F. Q. (2015). Body mass index: obesity, BMI, and health: a critical review. Nutrition Today, 50(3), 117-128.
  • Ocalan, G. H., Seckin, I., Maz, E., Kurt, M. C., Matur, F., & Buyuksarac, B. (2023). Frequency analysis of heart rate variability with cold water intake. In 2023 Medical Technologies Congress (TIPTEKNO) (pp. 1-4). IEEE.
  • Pereira, T., Carvalho, R., & Conde, J. (2017). Heart rate variability, arterial function and reflected waves in healthy and young participants-studying the physiological effect of cold water ingestion. International Journal of Research, 2(9), 16-22.
  • Qin, Y. J., Zhang, Y. C., Lin, Y., Hong, Y., Sun, X., Xu, F., & Chen, C. (2025). Autonomic nervous system imbalance in diabetic mouse choroids. Tissue and Cell, 94, 102798.
  • Shaffer, F., & Ginsberg, J. P. (2017). An overview of heart rate variability metrics and norms. Frontiers in Public Health, 5, 258.
  • Shekarforoush, S., & Fardaee, M. (2020). The effects of hydration status on cardiovascular system: a review. Food & Health, 3(2), 9-14.
  • Speer, K. E., Koenig, J., Telford, R. M., Olive, L. S., Mara, J. K., Semple, S., ... & McKune, A. J. (2021). Relationship between heart rate variability and body mass index: A cross-sectional study of preschool children. Preventive Medicine Reports, 24, 101638.
  • Stakenborg, N., Di Giovangiulio, M., Boeckxstaens, G. E., & Matteoli, G. (2013). The versatile role of the vagus nerve in the gastrointestinal tract. European Medical Journal Gastroenterology, 1.
  • Stanley, J., Peake, J. M., & Buchheit, M. (2013a). Cardiac parasympathetic reactivation following exercise: implications for training prescription. Sports Medicine, 43, 1259-1277.
  • Stanley, J., Peake, J. M., & Buchheit, M. (2013b). Consecutive days of cold water immersion: effects on cycling performance and heart rate variability. European Journal of Applied Physiology, 113, 371-384.
  • Struven, A., Holzapfel, C., Stremmel, C., & Brunner, S. (2021). Obesity, nutrition and heart rate variability. International Journal of Molecular Sciences, 22(8), 4215.
  • Triggiani, A. I., Valenzano, A., Ciliberti, M. a. P., Moscatelli, F., Villani, S., Monda, M., Messina, G., Federici, A., Babiloni, C., & Cibelli, G. (2015). Heart rate variability is reduced in underweight and overweight healthy adult women. Clinical Physiology and Functional Imaging, 37(2), 162-167.
  • Usui, H., & Nishida, Y. (2017). The very low-frequency band of heart rate variability represents the slow recovery component after a mental stress task. PloS One, 12(8), e0182611.
  • Yadav, R. L., Yadav, P. K., Yadav, L. K., Agrawal, K., Sah, S. K., & Islam, M. N. (2017). Association between obesity and heart rate variability indices: an intuition toward cardiac autonomic alteration–a risk of CVD. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 57-64.
  • Zhong, Y., Jan, K. M., Ju, K. H., & Chon, K. H. (2006). Quantifying cardiac sympathetic and parasympathetic nervous activities using principal dynamic modes analysis of heart rate variability. American Journal of Physiology-Heart and Circulatory Physiology, 291(3), H1475-H1483.
Toplam 39 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Biyomedikal Mühendisliği (Diğer)
Bölüm Araştırma Makaleleri
Yazarlar

Bora Büyüksaraç 0000-0001-5831-9418

İdil Seçkin 0009-0004-7325-9432

Gözde Hilal Öçalan 0009-0006-1380-3234

Fırat Matur 0000-0001-5676-5019

Yayımlanma Tarihi 30 Ağustos 2025
Gönderilme Tarihi 30 Aralık 2024
Kabul Tarihi 17 Haziran 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 6 Sayı: 2

Kaynak Göster

APA Büyüksaraç, B., Seçkin, İ., Öçalan, G. H., Matur, F. (2025). Cold water stimulation and its effect on heart rate variability: A short time fourier transform analysis. Frontiers in Life Sciences and Related Technologies, 6(2), 79-84. https://doi.org/10.51753/flsrt.1610372


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