Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Jan 25:2022:1924232.
doi: 10.1155/2022/1924232. eCollection 2022.

The Effects of Yoga Exercise on Pelvic Floor Rehabilitation of Postpartum Women

Affiliations

The Effects of Yoga Exercise on Pelvic Floor Rehabilitation of Postpartum Women

Qunfeng Li. J Healthc Eng. .

Retraction in

Abstract

Rehabilitation of the pelvic floor after delivery is very important for women. Pelvic floor rehabilitation can speed up the recovery of the postpartum vagina and pelvic floor muscle tension and elasticity and have a good effect on the prevention and treatment of postpartum vaginal prolapse and relaxation, urinary incontinence and other pelvic floor disorders. Thus, this article focuses on yoga exercise to explore its impact on postpartum pelvic floor rehabilitation. This article uses electrical stimulation and the treatment of pelvic floor muscles combined with the posture recognition algorithm, the yoga rehabilitation training program that has the best effect on the parturient is obtained, and the yoga myoelectric stimulation combined method and the traditional myoelectric stimulation method are designed for comparison experiments. The experimental results show that the parturients who have undergone the combined method of yoga myoelectric stimulation, in the resting state, contraction state, and Valsalva state, the position of the bladder meridian, the position of the uterus, and the position of the rectal ampulla of the parturient have a significant recovery compared those who have undergone the traditional electromyography treatment. In addition, the average area of hiatus in the pelvic floor ultrasound examination in the control group 42 days postpartum was 12.2605 cm2, while the average area of the hiatus in the pelvic floor ultrasound examination in the experimental group 42 days postpartum was 10.788 cm2; the average area of hiatus in the pelvic floor ultrasound examination in the control group at 3 months postpartum was 11.4805 cm2, and the average area of hiatus in the pelvic floor ultrasound examination in the experimental group at 3 months postpartum was 8.9475 cm2. To sum up, yoga had a very significant improvement on the physical indicators and mental health of postpartum women.

PubMed Disclaimer

Conflict of interest statement

The author declares that there are no conflicts of interest with any financial organizations regarding the material reported in this manuscript.

Figures

Figure 1
Figure 1
Female pelvic floor muscle structure.
Figure 2
Figure 2
Several common yoga exercises to rehabilitate the pelvic floor muscles.
Figure 3
Figure 3
The process of pelvic floor imaging examination.
Figure 4
Figure 4
Basic structure principle of ultrasound imaging.
Figure 5
Figure 5
Comparison of experimental results at rest. (a) Results of pelvic floor ultrasound examination in the control group. (b) Bottom ultrasound examination results of the experimental group.
Figure 6
Figure 6
Comparative experimental results in Valsalva state. (a) Results of pelvic floor ultrasound examination in the control group. (b) Results of pelvic floor ultrasound examination in the experimental group.
Figure 7
Figure 7
Numerical ratio of mental health indicators of parturients before and after the experiment. (a) Before the experiment. (b) After the experiment.
Figure 8
Figure 8
Comparison of mental health indicators of parturients before and after the experiment and the national norm. (a) Before the experiment. (b) After the experiment.

Similar articles

Cited by

References

    1. Meng X., Feng L., Chen H., et al. Just-in-Time human gesture recognition using WiFi signals. Chinese Journal of Electronics . 2021;30(6):1111–1119.
    1. Zhou F., Li X., Wang Z. Efficient high cross-user recognition rate ultrasonic hand gesture recognition system. IEEE Sensors Journal . 2020;20(22) doi: 10.1109/jsen.2020.3004252.13501 - DOI
    1. Modanwal G., Sarawadekar K. A robust wrist point detection algorithm using geometric features. Pattern Recognition Letters . 2018;110:72–78. doi: 10.1016/j.patrec.2018.03.025. - DOI
    1. Zadghorban M., Nahvi M. An algorithm on sign words extraction and recognition of continuous Persian sign language based on motion and shape features of hands. Pattern Analysis & Applications . 2018;21(2):323–335. doi: 10.1007/s10044-016-0579-2. - DOI
    1. Bhattacharyya S. . Optimization of a HMM-Based Hand Gesture Recognition System Using a Hybrid Cuckoo Search Algorithm. Hybrid metaheuristics for image analysis . 2018:87–114. doi: 10.1007/978-3-319-77625-5. - DOI

Publication types