WomFIT: Health & Kegel Trainer vs Kegel Trainer PFM Exercises Usage & Stats

WomFit Kegel Training is your personal science-based fitness trainer that offers effective exercises to strengthen your pelvic floor muscles (PF muscles). The app is super easy to use, making it simple to get results fast. Strengthening your Pelvic Floor (PF) muscles in an essential part of postpartum recovery, healing pelvic organ prolapse, vaginal gas ("queefing") and urinary incontinence. PF exercises are also a part of Diastasis Recti protocol. No matter your stage of life, Kegels fit prenatal and postpartum (C-section and natural birth recovery both). They're also known as a part of pregnancy fitness preparing your organs for giving a birth. Kegels are the best way to boost your libido, intimate sensation, confidence and at the end harmonised your self esteem. The WomFit app provides 2 exceptional regimes to help you to achieve your goals. AI FITNESS TRAINER *Get a personalized training plan based on your individual needs and goals. The AI technology takes into account factors such as your age, fitness level, and specific issues such as urinary incontinence, muscle weakness, or pelvic organ prolapse. *Keep seeing progress. AI Trainer adjusts the training plan as needed to ensure that you continue to see results. This means that you don't have to worry about whether you're doing the right exercises or whether you're pushing yourself hard enough — the AI trainer does all of the work for you. SELF TRAINING MODE This option is perfect for those who prefer to have more control over their workout or who want to incorporate their own exercises into their routine. * Choose from a range of kegel exercises; * Create your own workout by selecting the exercises and setting the duration that you want to dedicate it; * Work out at your own pace and convenience; * Set your own schedule; * Exercise descretely. No one will notice you're doing your Kegels. Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy policy: https://vibe0508.github.io/privacy_policy_oi.html