Introduction The purpose of this study is to propose a treatment method and the effect on the nervous system of digital therapeutics, which is a new treatment method to replace surgery and drug prescription for the treatment and prevention of diseases. Methods The 20 subjects who participated in the experiment, including men and women, had an average age of 26 ± 2.40 years. The proposed treatment method used three types of sound stimulation and air or bone conduction sound transmission methods to induce total of 6‐time EEG electroencephalogram(EEG) changes. EEG was measured with 200 sampling rate each in the P4, Cz, F8 and T7 channel located in the parietal, central, frontal and temporal lobes, respectively, according to the 10/10 system. A total of 2 min of data were created by extracting EEG signals with less noise from the measured data and the extracted data were applied with a 1–40 Hz Butterworth filter and a 50 Hz notch filter with a quality factor of 30. After that, EEG are subdivided into delta (0.5–4 Hz), theta (4–8 Hz), alpha (8–13 Hz), beta (13–30 Hz), and gamma (30–45 Hz) bands. Finally, EEG changes in response to sound stimuli were analyzed using power spectral density and T‐test validation in the frequency band. Results When a sound stimulus of less than 1 KHz was stimulated by air conduction, brainstem activation was induced and the reticular activation system was activated. In addition, a great potential for replacing drugs was confirmed by inducing changes in the nervous system similar to drugs used for sedation. Conclusion These results will be able to expand the concept of digital therapeutics, and it is expected that it will be developed as a safer treatment method that can replace surgery and drugs.

Objectives: In this study, we explain the role of respiratory support by proposing aHRSR, a sound stimulation to prevent imbalance of ANS due to dynamic movement. The function and role of aHRSR was analyzed through the time and frequency domain of HRV using PPG data of 22 participants (DUIRB-202109-12). Method: Changes in the ANS were confirmed using SDNN and LF, which represent total ANS activity, and the correlation between the stimulation effect of aHRSR and respiration was analyzed using RMSSD and HF, which included parasympathetic nervous system and respiratory frequency. Results : As an effect of aHRSR on dynamic movement, the recovery time of RR interval was advanced by about 15 seconds, SDNN increased from 44.16 to 47.85 ms, and RMSSD increased from 23.73 to 31.89 ms, increasing the stability of the ANS and reducing instability. Also, by reducing the change rate of LF from -13.83 to -8.83 % and the rate of change of HF from 10.59% to 3.27%, the effect of homeostasis of the ANS according to aHRSR is also shown. In other words, aHRSR decreased HF including respiratory energy and increased RMSSD generated during stimulation of the parasympathetic nervous system. Conclusions : These results suggest that aHRSR can stimulate the parasympathetic nervous system with minimal changes in breathing by assisting breathing that occurs during dynamic movement.