七麦数据

BaMai - 用科技感受传统养生智慧
BaMai - Experience Traditional Wellness Guided by Technology

将传统中医养生理念融入数字时代，BaMai 通过 Apple Watch 帮助您更好地了解身体的微妙模式。
Bringing traditional Chinese wellness concepts into the digital age, BaMai empowers you to understand your body's subtle patterns using your Apple Watch.

我们结合先进的传感器数据与传统中医原理，提供独特的个性化健康洞察。
We combine advanced sensor data with principles from Traditional Chinese Medicine (TCM) to offer unique, personalized wellness insights.

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主要功能 | Key Features:

自适应模式记录：
Adaptive Pattern Recording:
通过 Apple Watch 传感器，在 15-60 秒内记录您独特的身体韵律模式。
Utilize your Apple Watch sensors to record your unique body rhythm patterns in just 15-60 seconds.

个性化养生洞察：
Personalized Wellness Insights:
根据您的记录模式和生活习惯数据，提供定制化的非医疗健康建议。
Receive tailored, non-medical health recommendations based on your recorded patterns and lifestyle data.

整体趋势分析：
Holistic Trend Analysis:
从中医视角理解您身体的倾向性和生活习惯的影响。
Understand your body's tendencies and lifestyle impacts from a TCM perspective.

直观的健康数据管理：
Intuitive Health Data Management:
轻松跟踪和整理您的个人健康旅程。
Easily track and organize your personal wellness journey.

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适合人群 | Perfect for:

希望通过科技进行整体自我了解的现代人。
Modern individuals curious about holistic self-understanding through technology.

对东方养生智慧的丰富传承感兴趣的探索者。
Explorers interested in the rich heritage of Eastern wellness wisdom.

寻求通过个性化洞察提升生活品质的健康爱好者。
Health enthusiasts seeking to enhance their quality of life through personalized insights.

重视数据记录自己健康旅程的朋友。
Data-driven individuals who value tracking their wellness journey.

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社区特色 | Community:

加入我们的全球社区，分享经验并深入探讨东方养生智慧。
Join our global community to share experiences and delve deeper into the wisdom of Eastern wellness.

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重要提示 | Important Notes:

BaMai 专为个人养生观察和教育目的而设计。
BaMai is designed exclusively for personal wellness observation and educational purposes.

它不是医疗设备，不提供医疗诊断、治疗或建议。
It is not a medical device and does not provide medical diagnoses, treatment, or advice.

所有洞察和建议均基于传统中医原理，不应替代专业的医疗咨询。
All insights and recommendations are based on Traditional Chinese Medicine principles and should not be used as a substitute for professional medical consultation.

如有任何健康问题，请咨询合格的医疗专业人员。
For any health concerns, please consult a qualified healthcare professional.

信息来源：
Information Sources:
BaMai 中的建议和洞察来源于既定的传统中医（TCM）原理，包括《黄帝内经》等经典著作以及当代中医教育框架。
Recommendations and insights within BaMai are derived from established Traditional Chinese Medicine (TCM) principles, including classical texts such as Huangdi Neijing (The Yellow Emperor's Classic of Internal Medicine) and contemporary TCM educational frameworks.

在适用情况下，一般的养生建议可能与公认的公共卫生指南一致。
Where applicable, general wellness advice may align with widely recognized public health guidelines.

您的信任和健康至关重要。
Your trust and well-being are paramount.

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社交媒体 | Social Media:
Red: INTHEPOND
Instagram: INTHEPONDAU
X: INTHEPOND

BaMai - 用科技感受传统把脉智慧
BaMai - Experience Traditional Pulse Reading Through Modern Technology

将传统中医把脉带入数字时代，BaMai通过Apple Watch帮助您更好地了解自己的身体状态。结合先进传感器和数据分析，让养生变得简单而优雅。
Bringing traditional Chinese pulse diagnosis into the digital age, BaMai helps you better understand your body through Apple Watch. By combining advanced sensors with data analytics, we make wellness tracking simple and elegant.

主要功能 | Key Features:
• 自适应脉象测试
通过Apple Watch传感器，15-60秒记录脉象数据
Adaptive pulse recording with Apple Watch sensors in 15 to 60 seconds

• 数据分析
分析您的健康趋势和生活习惯
Analysis of health trends

• 个性化洞察
根据您的数据提供定制化的健康建议
Personalised wellness insights

• 健康数据管理
便捷的记录整理，让健康管理更轻松
Efficient health data management

适合人群 | Perfect for:
• 希望通过科技了解自己身体的现代人
Modern individuals interested in self-wellness

• 对东方养生文化感兴趣的探索者
Those curious about Eastern wellness wisdom

• 注重生活品质的健康爱好者
Health-conscious lifestyle enthusiasts

• 喜欢用数据记录生活的朋友
Data-driven wellness trackers

社区特色 | Community:
加入全球用户社区，分享经验，探讨东方养生智慧
Join our global community to share experiences and explore Eastern wellness

Rednote: INTHEPOND
Instagram: INTHEPONDAU
X: INTHEPOND

注意：BaMai是个人健康观察工具，不可作为医疗诊断依据。如有健康问题请咨询专业医生。
Note: For personal wellness tracking only. Not for medical diagnosis. Always consult healthcare professionals.