⚡ 本页包含 AI 生成的分析内容，仅供参考
该论文提出了一种基于超声波的集成系统用于精确测量体脂成分，解决了传统阻抗测量法受皮肤湿度、代谢活动等因素影响而精度不足的问题。通过超声波直接测量脂肪和肌肉层厚度，实现了更准确的体脂评估。
solution for accurate assessment of body fat is presented that addresses a growing consumer interest in economical and easy-to-use solutions for monitoring personal health and fitness. Unlike the prevalent present solution that estimates body fat percentage from an impedance measurement integrated in a weight scale and gives only a global index with accuracy compromised by a host of factors including skin moisture and metabolic activity, the reported approach uses ultrasound for an accurate measure of the actual thickness of the fat and muscle layers [1]. Figure 11.8.1 shows a block diagram the system comprising an ASIC and custom MEMS transducer. The latter consists of an array of AlN piezoelectric micromachined ultrasonic transducer (PMUT) array with 50μm diameter, 70μm
Hao-Yen Tang1, Yipeng Lu2, Stephanie Fung2, David A. Horsley2, Bernhard E. Boser1
University of California, Berkeley, CA, 2University of California, Davis, CA 1 An accurate, low-power, and highly integrated