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English(EN) The Athlete as a Scientist of One: Agentic Bayesian Experimental Design for Individualized Physiology from Consumer Wearables

新的代理系统使用可穿戴设备进行可审计的N=1运动员生理学实验

研究人员开发了EpiCoach,这是一个旨在利用消费者可穿戴设备数据的个体生理监测和实验设计代理系统。该系统将运动员视为N=1科学的受试者,其生理学主张记录在可审计的假设注册表中。EpiCoach从心率、GPS和气压高度数据中推断出数字孪生,对未来的训练课程做出概率性预测,并规定每周的实验以最大化信息增益,同时遵守负荷和安全限制。为期十八个月的评估显示了该系统的预测能力及其在数字健康中进行可审计、可证伪个性化的潜力。 AI

影响 引入了一个新颖的框架,利用LLM代理和可穿戴设备数据在数字健康中实现可审计和可证伪的个性化。

排序理由 学术论文,详细介绍了一种新颖的生理监测和实验设计系统。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新的代理系统使用可穿戴设备进行可审计的N=1运动员生理学实验

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学术论文,详细介绍了一种新颖的生理监测和实验设计系统。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Behnam Moradi ·

    运动员作为个体科学家:基于消费级可穿戴设备的个体生理学智能贝叶斯实验设计

    arXiv:2610.40370v1 Announce Type: cross Abstract: Large language model (LLM) agents for personal health read wearable data and recommend, but do not learn about the individual in a way that can be audited or falsified. We present EpiCoach, an agentic system that treats one athlet…