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Dilpreet Buxi

Researcher at Monash University

Publications -  20
Citations -  452

Dilpreet Buxi is an academic researcher from Monash University. The author has contributed to research in topics: Signal & Continuous-wave radar. The author has an hindex of 10, co-authored 20 publications receiving 392 citations. Previous affiliations of Dilpreet Buxi include IMEC & Monash University, Clayton campus.

Papers
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Journal ArticleDOI

A survey on signals and systems in ambulatory blood pressure monitoring using pulse transit time

TL;DR: A literature survey covering recent developments is presented in order to identify gaps in the literature regarding the calibration of pulse transit/arrival times to blood pressure, acquisition and processing of physiological signals and the design of fully integrated blood pressure measurement systems.
Journal ArticleDOI

Blood Pressure Estimation Using Pulse Transit Time From Bioimpedance and Continuous Wave Radar

TL;DR: The proposed system architecture is promising in estimating cuffless arterial blood pressure at the central, proximal arteries, which obey the Moens–Korteweg equation more closely when compared to peripheral arteries.
Journal ArticleDOI

Correlation Between Electrode-Tissue Impedance and Motion Artifact in Biopotential Recordings

TL;DR: The results show that the electrode-tissue impedance can correlate with the motion artifacts for local disturbance of the electrodes and that the impedance signals can be used in motion artifact removal techniques such as adaptive filtering.
Proceedings ArticleDOI

Motion artifact reduction in ambulatory ECG monitoring: an integrated system approach

TL;DR: A system approach to motion artifact reduction in ambulatory recordings and a wireless patch for the monitoring of 3-lead ECG, electrode electrical artifact and 3D-acceleration is presented.
Proceedings ArticleDOI

Ultra low power wireless ECG system with beat detection and real time impedance measurement

TL;DR: A wireless ECG monitoring system is presented that is able to perform high-quality ECG signal acquisition, beat detection, and real time monitoring of skin-electrode impedance which can be used to monitor the presence of motion artefacts.