AIQUAN AI-ECG platform

We integrate heart patch sensor with AI diagnosis for early detetion of irregular heartbeat to reduce the chance of stroke in older seniors. Artrial fibrillation(AF) is the mostly-common seen irregular heartbeat in clinical. The prevalance rate is about 2 % for general public. In epidemiological surveys, it shows that the patients with AF has 4 times higher chance to get stroke than normal people. Therefore, we leverage AI for early detection of AF , and patients can go to hospital for treatment to reduce the stroke in seniors.
我們整合了心臟貼片ECG感應器和利用AI判讀心律不整來降低中風在高齡醫療的發生機率。心房顫動(Artrial fibrillation)是臨床上最常見的一種心律不整,依盛行率調查,估計約2%的民眾曾經有過。根據流行病學的調查發現,心房顫動的病人發生腦中風的機會是正常人的四倍以上,所以我們透過AI來早期偵測出心房顫動,來引導病患就醫,以減少高齡老人的中風發生。

AIQUAN AI model

We work with clients to develop the best AI model in terms of large AUROC( Area Under ROC curve), reduced false positive, good sensitivity(true positive), goog specificity(true negative).
我們有能力設計開發AI模型來符合客戶需求的目標函數,並將AI模型透過系統整合用到現實應用場景中。
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Example#1: Single lead ECG recording to predict normal sinus rhythm, atrial fibrillation (AF), an alternative rhythm, or is too noisy to be classified.
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AIQUAN Real-time monitoring and alert system

AIQUAN is brought by 艾泉資訊股份有限公司