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Body Temperature & Fever Check

Body Temperature & Fever Check

Ketty Fuglsang Laursen

Utilities免费v1.2
App Store
评分

3.9

54 条评分

星级

★★★★☆

最近更新

2025年8月28日

发布日期

2025年8月15日

更新内容

v1.2

Minor Bug Fixes

应用信息

开发者
Ketty Fuglsang Laursen
分类
Utilities
价格
免费
版本
1.2
App ID
6749229318

简介

Body Temperature Master – Estimate & Log Your Temperature (Not for Medical Use) Effortlessly estimate and save your body temperature using biometric inputs — no extra device needed. Body Temperature Master analyzes your pulse (via the rear camera), respiration rate, and self‑reported wellness (Bad, Normal, Good) to calculate an approximate temperature. Please note: this app is not for medical use. Free Features: – Manually enter and save temperature readings – View, edit, rename, and delete entries on the History screen – Full Settings suite: 1) Rate the app 2) Share with friends 3) Contact us by email 4) View Privacy Policy & Terms of Use 5) Link to Apple Health Premium Features (subscription required): – Measure your temperature directly in‑app (pulse + breaths + wellness) – Save or discard each in‑app measurement Subscription Plans: – Weekly: $6.99 – Monthly: $17.99 – Yearly: $49.99 Measuring temperature requires an active subscription. All other features (manual entry, history, settings) are always free. Payment is charged to your iTunes account at confirmation. Subscriptions auto‑renew unless canceled at least 24 hours before the end of the current period. You can manage or cancel your subscription anytime in your iTunes Account Settings. "This app provides estimations based on iOS sensor data. We do not claim to provide accurate medical measurements. The app includes clear disclaimers stating that this is not a health device, and the temperature display is only a simulation for wellness estimation purposes. No diagnostic use is intended." Privacy Policy: https://telegra.ph/Privacy-Policy--Body-Temperature-Master-07-28 Terms of Use: https://telegra.ph/Body-Temperature-Master--Terms-of-Use-07-28

下载量预测

专业 · 预览

预估总下载量

5K4K11K
保守估计乐观估计

400

低 / 月

600

预估 / 月

1K

高 / 月

基于54 条评分
假设评分率1.0%
应用年龄9 个月

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。