安徽心之声医疗科技有限公司

AI 心血管健康 · 家庭健康档案

让 AI 读懂身体信号,并为每个家庭记住它。

心之声致力于把院内医疗级生理信号检查带进家庭日常场景,用专业模型、医疗器械和长期档案,构建可持续的家庭健康 Agent。

国家高新技术企业 5 张 NMPA 注册证 10 万+ 家庭

身体在说话,
我们帮你听;
每一次测量,
都沉淀为档案。

Why02

真正稀缺的不是“健康建议”,而是连续、可信、可被机器理解的一手身体信号

院内快照

检查太短

很多心血管风险是阵发性的,单次检查很难捕捉长期变化。

院外盲区

家庭缺入口

用户每天都在生活场景里产生身体信号,但缺少低门槛、可持续的采集方式。

AI 短板

通用模型不懂原始信号

大语言模型擅长文本表达,但不天然具备生命体征原始信号的解析能力。

我们的起点很朴素:嘴会说谎,身体不会。先读懂信号,再把它记成档案。

What We Build03

三层架构:传感器写入,档案沉淀,Agent服务。

医疗级传感入口

便携、贴片、医院平板,以及未来连续监测设备。

家庭健康档案

把每次测量变成长期、连续、个性化的健康上下文。

健康 Agent 服务

异常提示、解释、随访、导诊和长期健康管理。

DeepLife® 专业模型听懂身体信号(ECG / PPG / 血压等多模态),通用大模型讲给人听——LLM 可换,长期档案与专业信号模型不可复制;切入规模最大的 3.3 亿心血管人群

Data Moat04

真正的护城河,是合法、连续、带标注的生命体征数据。

5张 NMPA 医疗器械注册证
10万+家庭服务和设备激活口径
650万+人群规模数据底座
27亿约 10 秒信号片段训练语料

9 模态 · 自有设备 + 三甲合作 + 体检队列,在授权、脱敏、安全治理框架下持续沉淀的“活资产”。

Business05

硬件是入口,AI 是能力,服务是长期价值

Hardware

硬件强制建档

设备采集真实心电信号,用户激活即开始沉淀个人和家庭健康档案。

AI

专业模型解读

把原始身体信号转成可解释、可追踪、可被 Agent 使用的结构化健康事实。

Service

服务持续变现

读图、会员、耗材、复购和未来家庭健康 Agent 服务,构成长期复利。

10万+硬件入口 · 家庭激活规模
3平台拼多多、京东、天猫渠道级盈利
HASHardware + AI + Service

增长路径:触达 → 建立信任 → 激活建档 → 长期复利——不是一次性器械销售,而是从单次测量走向一生的家庭健康关系。

Endorsement06

最硬的背书,来自最挑剔的几道关——大厂、顶刊、三甲、监管与国家目录

荣耀 · 鱼跃 · 讯飞医疗等,采用心之声 ECG 算法

其中荣耀通过技术尽调、签署多年算法框架协议并已交付落地——心之声的生命体征算法,经得起头部大厂的工程检验。

NEJM AI团队心电基础模型(ECG foundation model)登上《NEJM AI》;累计 100+ 篇同行评审论文、9000+ 引用。
三甲 · 学术与国内外数十家顶尖三甲医院、学术机构共研健康医疗 AI。
5 张 NMPA五张 NMPA 医疗器械注册证,监管换来的资质壁垒、第三方可查。
国家目录入选工信部 · 民政部 · 国家卫健委《智慧健康养老产品及服务推广目录》。
Team07

中科大 × 北大,攒了十几年的一支班底。

俞杰 首席软件官 中国科大 · 前瀚云 CTO 周荣博 首席硬件官 中国科大 · 前华为 10 年 鄂雁祺 首席市场官 中国科大 · 郭沫若奖 · 校学生会主席 洪申达 首席科学家 北京大学 · 博导 · AI 研究院院长助理 健康医疗大数据国家研究院 傅兆吉 Geo 创始人 · CEO 中国科大 · 全国学联副主席 · 博士创业 本科同窗 学生会接棒 论文结缘千里相会 医学世家
傅兆吉 Geo · 创始人 / CEO中国科大 · 全国学联副主席 · 博士创业
周荣博 · 首席硬件官中国科大 · 前华为 10 年
俞杰 · 首席软件官中国科大 · 前瀚云 CTO
鄂雁祺 · 首席市场官中国科大 · 郭沫若奖 · 校学生会主席
洪申达 · 首席科学家北京大学 · 博导 · 健康医疗大数据国家研究院

五位联合创始人,把科研、算法、医疗器械、消费硬件、电商与私域服务拧成一套闭环——不是单点算法公司,而是能把身体信号真正落进家庭的组织。

Open Capability08

我们愿意把医疗级身体信号能力,变成生态伙伴的健康服务底座。

从“识别用户”到“理解身体”

未来的健康服务,不只需要账号和身份,也需要连续、可信、合规的一手生理信号。心之声提供这块拼图。

设备入口便携心电、贴片、平板筛查与连续监测设备。
模型能力ECG / PPG 等生命体征解析与结构化健康事实写入。
档案系统长期个人与家庭健康上下文,支持 Agent 个性化服务。
场景共建养老、保险、基层、平台健康服务、智能硬件和企业健康。

已落到家庭、养老、基层与平台:日常生理信号检查、慢病连续管理、筛查转诊、模型与档案 API 接入。

09

听懂身体,从心开始。

心之声希望用可及、可负担、可持续的 AI 生理信号采集与分析,把院内能力带到每个家庭,并把每一次心跳,记成一份长期健康档案,为用户提供千人千面、长期服务的 AI 家庭医生 Agent 服务。

附录:学术论文
附录 1/2
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  9. Self-supervised time series representation learning via cross reconstruction transformer. IEEE Transactions on Neural Networks and Learning Systems, 2023.
  10. HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020.
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附录 2/2
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  61. 基于纸质版心电图应用深度学习算法定位流出道室性心律失常起源部位的研究. 中华心律失常学杂志, 2022.
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  65. B-PO02-170 IDENTIFYING THE ORIGIN OF OUTFLOW TRACT VENTRICULAR ARRHYTHMIAS BASED ON PRINTED ELECTROCARDIOGRAPHIC RECORDS WITH AN ARTIFICIAL INTELLIGENCE ALGORITHM. Heart Rhythm, 2021.
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