With the ongoing evolution of intelligent sensors and artificial intelligence, wearable devices have achieved remarkable breakthroughs. Smart clothing, encompassing a diverse array of types, has found widespread applications across various life domains, particularly in the healthcare sector. However, despite these advancements, current smart clothing still faces limitations such as limited interaction capabilities, significant application constraints, and inadequate monitoring functionalities. To overcome these challenges and further enhance the user experience, this paper proposes a new smart clothing system. The system has the capability to monitor multiple physiological parameters of the human body. Furthermore, it incorporates a new algorithm called ARDN specifically designed for initial arrhythmia detection. To validate the effectiveness of the arrhythmia detection algorithm, an experimental analysis was conducted using the MIT-BIH arrhythmia database. Furthermore, to facilitate real-time monitoring and effective human-computer interaction, the system incorporates digital twin (DT) technology. This integration of intelligent sensors and terminal equipment through DT technology enables the system to conduct a comprehensive analysis of the users’ physical condition, thereby providing an initial health diagnosis. The system presents novel opportunities for advancing the development of personalized healthcare, facilitating seamless integration into everyday life, and enhancing users’ well-being.