• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.13 no.1
• /
• pp.9-18
• /
• 2013

In this paper, we have developed the intellectual kegel trainer with the biofeedback. The pelvic muscles of female are composed of a slow twitch fiber and a fast twitch fiber. If two twitch fiber be not well done, then the urine be frequently called by nature. In order to recover the function of pelvic muscles, we use the kegel trainer with biofeedback training. Such a trainer make strengthen the weakness pelvic muscles by biofeedback training and get exercise the pelvic muscles in physical suppress of 10 kg. The biofeedback training against the physical suppress can have strengthen the pelvic muscles and can display the operation graph of strengthen movement in monitor.

• Journal of IKEEE
• /
• v.22 no.1
• /
• pp.21-28
• /
• 2018

In this paper, we have developed the intellectual kegel trainer with the bio-feedback. The one is smart health care system that can treat an evacuation impediment and urination polyuria with the low frequency stimulation module. Then this detects the shrinkage power of the pelvis muscles and correlates an smart phone entertainment application program for the users. In order to recover the function of pelvic muscles, we use the intellectual smart health care trainer with several biofeedback function. Such a trainer makes to strength the weakness pelvic muscles by biofeedback training and get exercise the pelvic muscles in physical suppress. The biofeedback training against the physical suppress can have strengthen the pelvic muscles and can display the operation graph of strengthen movement in monitor. Finally, It can be ensured the safety through EMI and performance test.

• Journal of The Korean Society of Integrative Medicine
• /
• v.11 no.3
• /
• pp.1-10
• /
• 2023

Purpose : This study was conducted to determine the effect of intervention using a smartphone application on abdominal muscle thickness and maximum voluntary ventilation when conducting pelvic floor muscle exercise (PFME). Methods : This study was performed on 14 subjects. They were divided into two groups; PFME using smartphone application (n=7), common PFME (n=7). Both of group executed the exercise 5 times a week for 1 weeks. Abdominal muscle thickness was measured using ultrasound. Maximum voluntary ventilation was measured using a spirometer. The smartphone application used the paid version of Kegel trainer. This material was analyzed by the paired t-test to compare differences on each group and the independent t-test to compare between the two groups. Results : The PFME group using the smartphone application showed a significant increase in the transverse abdominis and internal oblique muscles (p<.05). The common PFME group showed a significant increase in the internal oblique muscle (p<.05). There was no significant difference in variation of the muscle thickness between the two groups (p>.05). The PFME group using the smartphone application showed a significant increase in the maximal voluntary ventilation (p<.05). There was no significant difference in variation of the maximal voluntary ventilation between the two groups (p>.05). Conclusion : As a results of this study, PFME using a smartphone application seems to induce voluntary participation of subjects and maintain continuity against time constraints. As a result, it is thought that using a smartphone application when performing PFME is efficient and convenient in terms of research method. However, this study is difficult to generalize due to the small number of subjects and short intervention period. Therefore, additional research should be conducted by modifying and supplementing these limitations.