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Impact of Cranial Electrical Stimulation Based Analysis of Heart Rate Variability in Insomnia

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Next Generation Computing Technologies on Computational Intelligence (NGCT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 922))

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Abstract

Insomnia is primary care in medical world. Impaired sleep quantity and quality is linked with an increased risk of cardio vascular diseases, as it is crosslinked to anxiety, depression, state of confusion and stress. They act as cofactor for disturbed sympatho vagal balance and sympathetic dominance. We conducted a study to analyze Heart rate variability and sleep quality in Insomnia subjects and assessed impact of Cranial Electrical Stimulation on them. Forty subjects were recruited in the study including males and females between age Cluster 18 years to 44 years suffering from Insomnia (sleep < 6 h) were divided into two Clusters, Cluster A (Control N = 20) and Cluster B (Experimental N = 20). Cranial Electrical stimulation (ALPHA STIM AID) was given to Cluster B for 21 days (5 days per week) and duration 20 min per day. Heart rate variability was measured by Physio Pack (Kubios 2.1) and quality of sleep was measured by (PSQI). Statistically significant differences were found in Cluster B comparison with Cluster A in Statistical and Geometric indices of Time Domain Factors like STDHR, SDNN, RMSSD, RR Tri, TINN with p value (p < 0.025), (p < 0.047), (p < 0.048), (p < 0.037), (p < 0.047) respectively. In Frequency Domain Factors statistically significant differences were found in VLF, HF, Total Power with p value (p < 0.032), (p < 0.044), (p < 0.045)respectively. There was significant difference in Global Pittsburg Sleep Quality Score with (p < 0.05) in Cluster B and Cluster A. Heart Rate variability, sleep quality and quantity were significantly higher in Insomnia subjects of Cluster B comparison with Cluster A after receiving Cranial Electrical stimulation.

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Khyatee, Sarkar, A., Aggarwal, R. (2019). Impact of Cranial Electrical Stimulation Based Analysis of Heart Rate Variability in Insomnia. In: Prateek, M., Sharma, D., Tiwari, R., Sharma, R., Kumar, K., Kumar, N. (eds) Next Generation Computing Technologies on Computational Intelligence. NGCT 2018. Communications in Computer and Information Science, vol 922. Springer, Singapore. https://doi.org/10.1007/978-981-15-1718-1_25

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  • DOI: https://doi.org/10.1007/978-981-15-1718-1_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1717-4

  • Online ISBN: 978-981-15-1718-1

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