A 65-nm CMOS Low-Power Impulse Radar System for Human Respiratory Feature Extraction and Diagnosis on Respiratory Diseases PROJECT TITLE :A 65-nm CMOS Low-Power Impulse Radar System for Human Respiratory Feature Extraction and Diagnosis on Respiratory DiseasesABSTRACT:This paper presents a radar system for extracting human respiratory options. The proposed radar chip comprises 3 major parts: a digital-to-time converter (DTC), a transmitter, and a receiver. The all-digital standard cell-based mostly DTC achieves a timing resolution of ten ps on a one hundred-ns time scale, supporting a range-gated sensing process. The transmitter is composed of a digital pulse generator. The receiver contains a right away-sampling passive frontend for achieving high linearity, an integrator for enhancing the signal-to-noise ratio, and a successive approximation register analog-to-digital converter for signal quantization. A absolutely integrated CMOS impulse radar chip was fabricated using sixty five-nm CMOS technology, and the whole power consumption is twenty one mW. In the backend, a true-time digital signal-processing platform captures human respiratory waveforms via the radar chip and processes the waveforms by applying somebody's respiratory feature extraction algorithm. Furthermore, a clinical trial was conducted for establishing a brand new diagnosis workflow for identifying respiratory diseases by the proposed wireless sensor system. The proposed system was validated by applying an adaptive network-primarily based fuzzy inference system and support vector machine algorithm to the clinical trial results. These algorithms confirmed the effectiveness of the proposed system in diagnosing respiratory diseases. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Relaxed Linearized Algorithms for Faster X-Ray CT Image Reconstruction TCP Performance over Wi-Fi: Joint Impact of Buffer and Channel Losses