Human detection using biomedical signals has gained interest in recent years. Biomedical signals such as respiratory rate (RR), heart rate (HR), electrocardiogram (ECG) and photo plethysmography (PPG) are fundamental vital signs for human detection. Many researchers have proposed the use of Ultra- Wideband (UWB) radar as a tool for sensing heart and respiratory biomedical signals. This has led to the development of several real- world applications including contactless health monitoring as well as human motion tracking and detection when hidden behind walls.

This research investigates the use of human biomedical signals for biometric recognition of human beings and presents a novel algorithm for estimating heart rate, respiratory rate and blood pressure of a human being using a hybrid approach. The algorithm utilises a combination of signal filtering techniques including Fractional Fourier, Moving Average filters and Saviztky-Golay together with the Stockwell Transformations to perform data acquisition, signal preprocessing and filtering, signal shape transformation for the detection of the R-peak, the heart rate estimation, signal segmentation and the ventricular depolarisation (QRS complex). The research analyses data derived primarily from the Capnobase medical signal repository which is comprised of international benchmark datasets often used to validate and compare algorithms in the scientific literature. The experimentation focused on three human datasets and processed raw noisy ECG signal data containing several artifacts and good signal quality to generate results for estimating heart rate of the electrocardiogram (ECG) and blood pressure Photoplethysmogram (PPG). The results of the experimentation clearly show distinct signals extracted from the noisy data which can be used to represent a biometric signal signature for each individual.

Mr. FITZROY SAUNDERS Jr. was born in Trinidad and Tobago and received his Bachelor of Science degree in Electrical Engineering from New Jersey Institute of Technology (NJIT). In 1993, he joined Dialogic/Intel as an engineering student and in 1998 joined the Intel Research & Development (R&D) department. In 2004, during his final year at NJIT he designed a wireless communication Low Complexity Fast Fourier Transformation (FFT) hardware/algorithm for a digital signaling processor (DSP), which allowed people to shop without using money.

In 2010, Fitzroy worked as a Senior Electrical Engineer for Kimberly Clark LTD where he was lead engineer for strategic company projects and held responsibility for reducing overall production operating costs and maintaining technological operation processes.

In 2015, Fitzroy worked as an IP/MPLS Network Solution Manager for Huawei Technologies – T&T where he specialized in designing and implementing Carrier & Enterprise Solutions, as well as, Network Designs and Wireless Solutions for corporate clients locally and regionally.

Fitzroy became the Head Partner and Managing Director of ISITEC Technology Engineering Co. LTD in 2018, where he provided technical leadership of the business activities of the company and was responsible for operational infrastructure services, strategic development, telecommunication as well as commercial and industrial electrical engineering services.

He became Senior Electrical Engineer at the SoundView Holdings LLC in Vermont USA in 2023, where he holds responsibility for overseeing company technical operations and electrical, electronic and telecommunication asset management.

Fitzroy’s professional experience includes: IP. Network Solution Manager; Chief Operations Officer; Asset/Process Leader; Senior Electrical Plant Engineer; Hardware Designer; and Adjunct ICT Lecturer at The University of Trinidad and Tobago (UTT).

Saunders’ current R&D research interests are in the field of power electronics, Ultra-Wideband Radar Technology, Biometric/Biomedical Signal Processing, Wireless Communications, and Fractional Fourier Transformation (FrFT)