實驗等級的肌電圖研究儀器受限於受試者與環境要求，難以實際應用於運動場域，結合肌電圖與穿戴式科技的「肌電智慧服飾」，透過簡便操作、便攜性與低環境要求等優點，或許能成為監控運動時肌肉工作狀態的選項。本研究目的針對具肌電圖功能之智慧服飾進行範域界定回顧，探討肌電智慧服飾之開發設計、研究統整與信效度驗證。分析符合主題的13篇文獻後，發現肌電智慧服飾研究的受試者，多以非運動員的健康受試者為主；研究流程與肌電智慧服飾設計多以人體下肢為主，檢測流程可進階分為靜態測試與動態測試；多數肌電智慧服飾皆獲得中度以上的信效度。結論顯示肌電智慧服飾可應用於偵測各項身體活動和運動過程中肌肉工作狀態，但在更快速和更複雜的競技運動，仍需更多的研究驗證。

The surface electromyography (sEMG) is difficult to monitor athletes’ performance in the field condition because of complex pretreatment. Thus, the sEMG combined with the intelligent garment (sEMG garment) may be one of the best strategies to monitor athlete’s performance. The aim of this article was to review kinds of literature of the sEMG garment in design, research methodology, and reliability and validity respectively throughout a scoping review method. There are 13 studies met the criteria in the present article. The results showed that a few previous studies involved athlete participants. Most studies were tested sEMG garment on lower limb muscle groups and conducted static and dynamic strength movements. The reliability and validity of the sEMG garment were good in the previous study. The findings suggested that sEMG garments are a highly applied product for monitoring athletes’ performance; however, more studies that examine full-body muscle groups with high-velocity muscle contraction in athlete participants are required.