苹果新研究：AI 可从 Apple Watch 光学传感器中挖掘更深入的心脏健康数据

IT之家2025-12-05

在 watchOS 26 系统中，苹果为其 Apple Watch 引入了“高血压提醒”功能。据该公司解释：Apple Watch 的高血压提醒功能利用光学心率传感器的数据，分析用户血管对心跳的反应情况。该算法在后台被动运行，持续回顾 30 天内的数据，若检测到持续性的高血压迹象，便会向用户发出通知。尽管这一功能远非医疗级诊断工具，苹果也明确表示：“高血压提醒无法检测所有高血压病例”，但公司预计，...

网页链接

免责声明：本文观点仅代表作者个人观点，不构成本平台的投资建议，本平台不对文章信息准确性、完整性和及时性做出任何保证，亦不对因使用或信赖文章信息引发的任何损失承担责任。

精彩评论

我们需要你的真知灼见来填补这片空白

发表看法

{"i18n":{"language":"zh_CN"},"isChannel":false,"data":{"share":"https://www.laohu8.com/m/news/2589989895?lang=zh_CN&edition=full","thumbnail":"","is_english":false,"pubTime":"2025-12-05 17:12","share_image_url":"https://static.laohu8.com/9a95c1376e76363c1401fee7d3717173","id":"2589989895","market":"us","top_or_hot":-1,"title":"苹果新研究：AI 可从 Apple Watch 光学传感器中挖掘更深入的心脏健康数据","media":"IT之家","content":"<div>\n<p>在 watchOS 26 系统中，苹果为其 Apple Watch 引入了“高血压提醒”功能。据该公司解释：Apple Watch 的高血压提醒功能利用光学心率传感器的数据，分析用户血管对心跳的反应情况。该算法在后台被动运行，持续回顾 30 天内的数据，若检测到持续性的高血压迹象，便会向用户发出通知。尽管这一功能远非医疗级诊断工具，苹果也明确表示：“高血压提醒无法检测所有高血压病例”，但公司预计，...</p>\n\n<a href=\"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20251205171220a7259f74&s=b\">网页链接</a>\n\n</div>\n","source":"tencent","html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>苹果新研究：AI 可从 Apple Watch 光学传感器中挖掘更深入的心脏健康数据</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n苹果新研究：AI 可从 Apple Watch 光学传感器中挖掘更深入的心脏健康数据\n</h2>\n\n<h4 class=\"meta\">\n\n\n2025-12-05 17:12 北京时间&nbsp;&nbsp;&nbsp;<a href=http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20251205171220a7259f74&s=b><strong>IT之家</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>在 watchOS 26 系统中，苹果为其 Apple Watch 引入了“高血压提醒”功能。据该公司解释：Apple Watch 的高血压提醒功能利用光学心率传感器的数据，分析用户血管对心跳的反应情况。该算法在后台被动运行，持续回顾 30 天内的数据，若检测到持续性的高血压迹象，便会向用户发出通知。尽管这一功能远非医疗级诊断工具，苹果也明确表示：“高血压提醒无法检测所有高血压病例”，但公司预计，...</p>\n\n<a href=\"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20251205171220a7259f74&s=b\">网页链接</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":"SG9999000418.SGD","symbol_name":"Aberdeen Standard Global Technology SGD","start_time":0,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20251205171220a7259f74&s=b","article_id":"2589989895","we_media_id":null,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20251205171220a7259f74&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"url":"https://stock-news.laohu8.com/highlight/detail?id=2589989895","pubTimestamp":1764925935,"columns":[],"sourceInfo":{"source_id":"tencent","name":"腾讯"},"weMediaInfo":null,"summary":"在 watchOS 26 系统中，苹果为其 Apple Watch 引入了“高血压提醒”功能。虽然目前尚无法确定苹果是否会将这些技术整合进未来的 Apple Watch 产品中，但令人鼓舞的是，该公司研究人员正积极探索创新方法，力求从现有传感器中提取更具价值、甚至可能挽救生命的心血管健康数据。","collect":0,"end_time":0,"defaultTopTitle":"qq.com","property":[],"viewcount":null,"language":"zh","relate_stocks":{"SG9999000418.SGD":"Aberdeen Standard Global Technology SGD","LU1804176565.USD":"EASTSPRING INV GLOBAL GROWTH EQUITY \"A\" (USD) ACC","LU1791710582.SGD":"Fidelity Global Demographics A-ACC-SGD (SGD/USD hedged)","LU1548497426.USD":"安联环球人工智能AT Acc","IE00B4YYXB79.USD":"PIMCO BALANCED INCOME AND GROWTH \"E\" (USD) ACC","BK4507":"流媒体概念","LU0912757837.SGD":"JPMorgan Investment Funds - Global Income A (mth) SGD-H","LU2242650005.HKD":"FIDELITY FUNDS GLOBAL MULTI ASSET DYNAMIC \"A\" (HKD) ACC","LU0661504455.SGD":"Blackrock Global Equity Income A5 SGD-H","LU1718418525.SGD":"JPMorgan Investment Funds - Global Select Equity A (acc) SGD","LU1127390331.HKD":"AB SICAV I - ALL MARKET INCOME PORTFOLIO \"A\" (HKD) ACC","LU2361044949.HKD":"WELLINGTON US QUALITY GROWTH \"A\" (HKD) ACC","LU2286300806.USD":"Allianz Cyber Security AT Acc USD","LU1235294995.USD":"FIDELITY GLOBAL TECHNOLOGY \"A\" (USDHDG) ACC","LU0011850046.USD":"贝莱德全球长线股票 A2 USD","MACW.SI":"APPLE 3xLongSG261006","LU2471134879.HKD":"INVESCO GLOBAL EQUITY INCOME ADVANTAGE \"A\" (HKD) INC","LU2347655156.SGD":"JPMorgan Investment Funds - Global Income A (icdiv) SGD-H","IE00BK4W5M84.HKD":"HSBC GLOBAL FUNDS ICAV US EQUITY INDEX \"HC\" (HKD) ACC","LU0689626769.HKD":"AB SICAV I - SUSTAINABLE US THEMATIC PORTFOLIO \"A\" (HKD) ACC","LU0949170426.SGD":"Blackrock Global Multi-Asset Income A6 SGD-H","BK4573":"虚拟现实","LU1242518857.USD":"FULLERTON LUX FUNDS - ASIA ABSOLUTE ALPHA \"I\" (USD) ACC","LU0784385170.HKD":"BGF GLOBAL MULTI ASSET INCOME \"A6\" (HKDHGD) INC","LU1852331112.SGD":"Blackrock World Technology Fund A2 SGD-H","BK4532":"文艺复兴科技持仓","LU0345769128.USD":"NINETY ONE GSF GLOBAL EQUITY \"A\" (USD) ACC","IE00BFSS7M15.SGD":"Janus Henderson Balanced A Acc SGD-H","LU0861579265.USD":"联博低波幅策略股票基金A","LU2089284900.SGD":"Allianz Global Sustainability Cl AM Dis H2-SGD","BK4553":"喜马拉雅资本持仓","IE00BSNM7G36.USD":"NEUBERGER BERMAN SYSTEMATIC GLOBAL SUSTAINABLE VALUE \"A\" (USD) ACC","LU0820562030.AUD":"ALLIANZ INCOME AND GROWTH \"AMH2\" (AUDHDG) H2 INC","LU2168564149.EUR":"AZ ALLOCATION - TREND \"BAZ\" (EUR) ACC","IE0004445239.USD":"JANUS HENDERSON US FORTY \"A2\" (USD) ACC","LU0456855351.SGD":"JPMorgan Funds - Global Equity A (acc) SGD","LU2111349929.HKD":"ALLIANZ GLOBAL SUSTAINABILITY \"AM\" (HKD) INC","LU0642271901.SGD":"Janus Henderson Horizon Global Technology Leaders A2 SGD-H","LU0203202063.USD":"AB SICAV I - ALL MARKET INCOME PORTFOLIO \"A2X\" (USD) ACC","IE00BZ1G4Q59.USD":"LEGG MASON CLEARBRIDGE US EQUITY SUSTAINABILITY LEADER \"A\"(USD) INC (A)","LU2191332357.HKD":"SCHRODER ISF SUSTAINABLE MULTI-ASSET INCOME \"A\" (HKDHDG) INC","LU1935043536.SGD":"MANULIFE GF GLOBAL MULTI-ASSET DIVERSIFIED INCOME \"AA\" (SGDHDG) INC A","LU1989772840.SGD":"CPR Invest - Climate Action A2 Acc SGD-H","LU1551013425.SGD":"Allianz Income and Growth Cl AMg2 DIS H2-SGD","LU1066051225.USD":"HSBC GIF GLOBAL EQUITY VOLATILITY FOCUSED \"AC\" (USD) ACC","LU0784383803.USD":"BGF GLOBAL MULTI-ASSET INCOME FUND \"A\" (USD) INC A","SG9999014567.USD":"UOB UNITED INCOME FOCUS TRUST FUND (USD) ACC","AAPL":"苹果","BK4592":"伊斯兰概念","LU1084165304.USD":"FIDELITY WORLD \"A\" (USD) ACC"},"translate_title":"New Apple research: AI can mine deeper heart health data from Apple Watch optical sensors","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"AAPL":1.5,"MACW.SI":0.6},"content_text":"在 watchOS 26 系统中，苹果为其 Apple Watch 引入了“高血压提醒”功能。据该公司解释：Apple Watch 的高血压提醒功能利用光学心率传感器的数据，分析用户血管对心跳的反应情况。该算法在后台被动运行，持续回顾 30 天内的数据，若检测到持续性的高血压迹象，便会向用户发出通知。尽管这一功能远非医疗级诊断工具，苹果也明确表示：“高血压提醒无法检测所有高血压病例”，但公司预计，该功能在推出首年内有望提醒超过 100 万名尚未确诊的高血压患者。值得注意的是，该功能并非基于瞬时测量，而是依托于长达 30 天的数据趋势分析。这意味着其算法关注的是长期变化趋势，而非提供实时血流动力学读数或估算具体的心血管参数。而这正是这项新研究的切入点。需要首先明确一点：在这项研究中，Apple Watch 从未被提及，文中也未对任何即将推出的产品或功能作出承诺。与苹果机器学习研究博客发布的大多数(甚至全部)论文一样，本研究聚焦于基础性科研及底层技术本身。据IT之家了解，这篇题为《用于无创心血管参数监测的光电容积描记法混合建模》(Hybrid Modeling of Photoplethysmography for Non-Invasive Monitoring of Cardiovascular Parameters)的论文提出了一种“混合方法”，即“结合血流动力学仿真与未标注的临床数据，直接从 PPG 信号中估算心血管生物标志物”。简言之，研究人员证明：仅凭一个简单的指端脉搏传感器(即光电容积描记仪，Photoplethysmograph，简称 PPG)—— 这正是 Apple Watch 所采用的光学传感技术(尽管信号特征有所不同)，即可估算出更深层次的心脏指标。具体而言，苹果研究人员首先获取了一个大规模的、带有标签的模拟动脉压波形(Arterial Pressure Waveforms, APW)数据集，以及另一个包含同步采集的真实世界 APW 与 PPG 信号的数据集。随后，他们训练了一个生成式模型，使其学会将 PPG 信号映射到同时发生的 APW 上。通过这一过程，他们得以从 PPG 测量中以足够精度推断出 APW 数据。接着，他们将这些推断出的 APW 输入第二个模型。该模型经过训练，可从 APW 中进一步推导出如每搏输出量(stroke volume)和心输出量(cardiac output)等心脏生物标志物。第二模型的训练依赖于模拟的 APW 数据，并配以已知的心血管参数值(包括每搏输出量、心输出量等)。最终，研究人员为每个 PPG 片段生成多个合理的 APW 波形，分别推断对应的心血管参数，并对结果取平均值，从而得出最终估计值及其不确定性度量。在完成整个训练流程与模型构建后，研究团队选取了一个全新的数据集进行验证，该数据集包含 128 名接受非心脏手术患者的 APW 与 PPG 信号，并附有相应的心血管生物标志物标签。将该数据输入模型后，结果显示：该方法能够准确追踪每搏输出量和心输出量的变化趋势，尽管尚无法精确预测其绝对数值。即便如此，其表现仍优于传统技术，表明借助 AI 辅助建模，可以从简单的光学传感器中提取出更具临床意义的心脏健康信息。研究人员在论文中总结道：“本研究采用一种混合建模方法，从体内 PPG 信号中推断心血管参数。相较于因标注数据有限而受限的纯数据驱动方法，我们的方法通过引入仿真数据，规避了侵入性且昂贵的标注需求，取得了颇具前景的结果。现有其他心血管混合建模方法，或是在神经网络结构中嵌入物理约束，或是将传统生理模型与数据驱动组件结合;而我们的方法则通过模拟贝叶斯推断(SBI)将物理知识融入模型。(……)我们的成果有助于阐明 PPG 信号在预测心脏生物标志物方面的信息潜力，且其应用范围可能超出本实验所涵盖的指标。尽管我们在监测时间趋势方面取得积极进展，但复杂生物标志物的绝对值预测仍具挑战性，这也是未来研究的关键方向。后续工作还可探索 PPG 到 APW 映射的其他生成式方法，或尝试不同的模型架构。此外，本研究中针对指端 PPG 所采用的学习策略，亦可拓展至其他模态，包括可穿戴 PPG 设备，从而为实现被动、长期的心脏生物标志物监测打开大门。”虽然目前尚无法确定苹果是否会将这些技术整合进未来的 Apple Watch 产品中，但令人鼓舞的是，该公司研究人员正积极探索创新方法，力求从现有传感器中提取更具价值、甚至可能挽救生命的心血管健康数据。","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":false,"editions":null,"column":"","sentiment":"1","news_tag":"dataReport","news_rank":0,"isVideo":false,"video":null,"symbols":[],"gpt_button":0,"need_auth":false,"need_login_tip":false,"code":"91000000","status":"200"},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":2,"commentSize":0,"repostSize":0,"favoriteSize":1,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)","isDev":false,"isTTM":false,"isLaohu8Offline":false,"tenantId":"TBCN","deviceId":"web-server-community-laohu8-v3","version":"4.44.1","shortVersion":"4.44.1","platform":"web","vendor":"web","appName":"laohu8","isIOS":false,"isAndroid":false,"isTiger":false,"isTHS":false,"isWeiXin":false,"isWeiXinMini":false,"isWeiBo":false,"isQQ":false,"isBaiduSwan":false,"isBaiduBox":false,"isDingTalk":false,"isToutiao":false,"isOnePlus":false,"isHuaWei":false,"isXiaomi":false,"isXiaomiWebView":false,"isOppo":false,"isVivo":false,"isSamsung":false,"isMobile":false},"href":"/m/news/2589989895","isCrawlerRequest":true}