Abstract: A magnetoresistive random access memory (MRAM) structure, including a substrate and multiple MRAM cells on the substrate, wherein the MRAM cells are arranged in a memory region adjacent to a logic region. An ultra low-k (ULK) layer covers the MRAM cells, wherein the surface portion of ultra low-k layer is doped with fluorine, and dents are formed on the surface of ultra low-k layer at the boundaries between the memory region and the logic region.

Abstract: A real-time monitoring device for human body is disclosed. The real-time monitoring device includes a sensor module and a processor module, wherein the sensor module is adopted for contacting a human body like a baby's, so as to conduct a sensing work. The processor module is coupled to the sensor module for receiving a body temperature sensing signal, a first sound signal and a body activity sensing signal, and is configured for generating a second sound signal by collecting a sound emitted from the body. According to the present invention, the processor module is configured for determining whether the baby has a physical condition after applying processing and analyzing the body temperature sensing signal, the first sound signal, the second sound signal, and the body activity sensing signal. Moreover, the processor is also configured for to estimating physiological parameters of the baby.

Abstract: A maternal and fetal monitoring device using multiple sensing units is disclosed. The maternal and fetal monitoring device comprises: a processor module and a plurality of sensor modules, wherein each said sensor module comprises: an inertial sensor, a temperature sensor and a first acoustic sensor. After being attached onto a maternal body, each said sensor module collects a body temperature signal, an inertia signal and a sound signal. Subsequently, the processor module determines a maternal body posture by analyzing the inertia signal, determines a maternal physical condition and a fetal physical condition by analyzing the inertial signal, the plurality of first sound signals and the second sound signal, and estimates physiological parameters of the maternal body and a fetus by analyzing the body temperature sensing signal, the plurality of first sound signals, and the second sound signals.