4.8
431 条评分
★★★★★
2022年7月18日
2021年10月12日
更新内容
v1.1.3Bug fixes and improvements
应用信息
- 开发者
- 鋆 张
- 分类
- Health & Fitness
- 价格
- 免费
- 版本
- 1.1.3
- App ID
- 1589659897
简介
Study music and binaural beats app. Brain wave with binaural beats, alpha waves, delta waves for study, work, focus, sleep, etc. It also includes a binaural beat generator. With it you can easily generate brain waves that will stimulate your concentration, meditation or relaxation. Main features: - Create your own Beta, Alpha, Theta, Delta or Gamma brainwaves to study, learn or focus. - Music for studying, reading and concentration. - Change the focus music to improve your experience. - Change the volumes of background music and wave. - Play the study music in the background. - Schedule timer to automatically stop the music. - High quality meditation music. - Beautiful and simple design. - No network required. IMPORTANT: Use headphones for a better sound experience. Binaural waves are just entertainment and should not replace your medicine treatments. If you have any disease you should visit a doctor. Terms and pricing: Binaural Beats offers an auto-renewing yearly subscription at $0.99 USD/month and $5.99 USD/year to provide you with unlimited access to the premium features while you maintain an active subscription. Payment will be charged to the payment method connected to your iTunes Account when you confirm the initial subscription purchase. Subscriptions automatically renew unless auto-renew is turned off at least 24-hours before the end of the current subscription period. Your account will be charged for renewal within 24-hours prior to the end of the current period. You may manage your subscription and auto-renewal may be turned off by going to your Account Settings after purchase. Terms of service: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy policy: http://htmlpreview.github.io/?https://github.com/CraftsmanSpirit/docs/blob/master/Privacy%20Policy.md
下载量预测
预估总下载量
513
低 / 月
700
预估 / 月
1K
高 / 月
基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。
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