Dasari Yogeshwar, Chebolu Lakshmana Rao, Balasubramanian Venkatesh
Department of Applied Mechanics and Biomedical Engineering, Indian Institute of Technology Madras, Chennai, India.
Department of Engineering Design, Indian Institute of Technology Madras, Chennai, India.
J Ayurveda Integr Med. 2025 Mar-Apr;16(2):101094. doi: 10.1016/j.jaim.2024.101094. Epub 2025 Mar 17.
Shirodhara is a brain relaxation therapy. The treatment induces a relaxed state with awareness that results in treating neurological conditions like mental stress (depression/anxiety/hypertension) and some of its beneficial side effects are soothing the central nervous system.
In the present study, the investigation aimed to analyze the ratios of brain waves, particularly focusing on the frontal region.
In this study, Shirodhara with "Ksheerabala thailam" medicinal oil was conducted on 16 participants and pre-post treatment brain signals were collected using an EEG acquisition tool and it was found that treatment induced relaxation aspects were observed among participants.
Welch's Fast Fourier transform (FFT) was used to analyze the EEG signals in order to obtain power spectral density (PSD) features, which indicated a signal's power dispersed across a range of frequencies. The effectiveness of treatment has been evaluated by examining the spectral power ratios of alpha/beta, theta/beta in the frontal region of the brain and physiological and psychological parameters.
希罗达拉是一种脑部放松疗法。该治疗诱导出一种有意识的放松状态，可用于治疗诸如精神压力（抑郁/焦虑/高血压）等神经系统疾病，其一些有益的副作用是舒缓中枢神经系统。
在本研究中，调查旨在分析脑电波的比率，尤其关注额叶区域。
在本研究中，对16名参与者进行了使用“克希拉巴拉油”的希罗达拉治疗，并使用脑电图采集工具收集治疗前后的脑信号，结果发现参与者中观察到了治疗诱导的放松方面。
使用韦尔奇快速傅里叶变换（FFT）来分析脑电图信号，以获得功率谱密度（PSD）特征，该特征表明信号的功率分布在一系列频率上。通过检查大脑额叶区域的α/β、θ/β频谱功率比以及生理和心理参数来评估治疗效果。
