穿戴式裝置已經悄悄地走進你我的生活之中，應用也是越加地廣泛，結合智慧醫療的穿戴式裝置如雨後春筍般的出現。然而民眾對醫療產品的基本要求是正確地量測生理訊號，但今日多數的穿戴式裝置並沒有考量到要如何正確地量測生理信號，這就容易造成穿戴式裝置在量測生理訊號時容易有量測偏差。而本次研究想要探討施壓所造成的量測偏差對脈波波形品質的影響，觀察施壓波形與非施壓波形的差異於頻域參數上的表現。
肌少症是近年來較受討論的議題，過往由於肌少症並不會導致立即的疾病產生以及檢測需仰賴大型儀器，使得肌少症不易被民眾察覺。肌肉的存在與循環系統具關連性，好的循環供血表示養份的充份供應，有了充足的養份供應，肌肉量就不容易往下掉。過往實驗室曾經應用自行開發的穿戴式裝置於部份疾病早期偵測上，並且有著不錯的結果，本次研究是將穿戴式裝置應用於肌少症早期偵測上，希望能夠達成肌少症早期偵測的目的。

Wearable devices are ubiquitous and widely used in our lives. Wearable devices that combine Smart Healthcare are released profusely. The basic requirement of the public for medical devices is to measure physiological signals correctly. However, most wearable devices nowadays do not consider how to measure physiological signals correctly, which easy to cause measurement errors. In this study, we want to explore the influence of the measurement deviation caused by pressure on the quality of the pulse waveform, and observe the performance of the difference between the pressure waveform and the non-pressure waveform on the frequency domain parameters.
Sarcopenia has been a trending topic in recent years. In the past, sarcopenia did not lead to immediate disease and large-scale equipments was required for detection, making it difficult for the public to detect sarcopenia. The existence of muscle is related to the circulatory system. A good circulating blood supply means a sufficient supply of nutrients. With a sufficient supply of nutrients, muscle mass is not easy to decrease. The laboratory uses self-developed devices productive for early detection of some diseases previously. In this study, we apply it to the early detection of sarcopenia and hope to achieve the goal of early detection of sarcopenia.

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