在醫學上心音是一項用來判斷病人病情輕重的重要指標，我們可以從心音上得到許多資訊，而且偵測心音相對於其他的診斷也更為簡單且方便，在中醫也是利用把脈來透過脈搏得知病人身體狀況。從1819年公布至今，聽診器的運用遍及整個醫療界，讓心音的偵測小果提升到新的境界，從心臟傳出來的訊息如果能夠被正確解讀，許多病症將能夠被提早醫治，或是提早發現。心音包含了心跳、波形等，諸多心臟相關的疾病都會有些微的變化，能夠掌握這些變化，便能提高診斷效率。
隨著穿戴式產品如雨後春筍般湧現，相關應用也不斷地推陳出新，創意及實用性的提升在這些應用中就更顯重要。隨著近年來現代人健康意識增長，許多的健康用品也在增加，其中量測脈搏更是基本功能，如小米手環、APPLE手錶等，各家的量測手段也不盡相同，在手腕上的大多是利用光線反射來量測，如紅外線、綠光等；另外置於胸口的則是ECG和聽診器為主。
在心音處理方面，從time-frequency analysis、WT、ICA等都有做研究，但是都是利用聲音或是ECG作為來源，但卻很少使用壓電式材料來分析，本篇便是利用壓電式材料當作傳感器，透過藍芽傳輸心音資料到手機端，並且記錄心音。經過放大電路後的訊號，到MCU經藍芽傳送到APP，並且利用分析出各個演算法的優異，以及計算心跳的準確性。

SUMMARY
In this paper, we use PVDF(Polyvinylidene fluoride) sensor to get heart sound. It’s different form ECG(Electrocardiography) and heart sound. It collect chest tremor by heart beat. This sensor can collect your breathing, too. The Development board we use is Arduino because it’s easy to coding and it has a lot of module to use. And then we use BLE module to send raw data to smart phone, including heart wave data, heart rate, user’s location, and user’s temperature. We made a wearable device and app for our system. The app will show the heart sound wave and user ID, location, temperature and heart rate. The raw data will be recorded for use algorithm to analysis wave on PC by MATLAB, and compare heart rate’s correct rate.

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