Personalised and Adjustable Interval Type-2 Fuzzy-Based PPG Quality Assessment for the Edge

TL;DR

This paper introduces a personalised, adjustable Interval Type-2 Fuzzy Logic System for real-time PPG signal quality assessment, enhancing reliability in wearable health monitoring by adapting to individual signal characteristics.

Contribution

It presents a novel personalised and adjustable IT2FLS approach for PPG quality assessment, addressing motion artefacts and individual variability in wearable health devices.

Findings

Achieved up to 93.72% average accuracy in validation

Enables ultra-low complexity, real-time PPG quality assessment

Improves reliability of PPG-based health monitoring systems

Abstract

Most of today's wearable technology provides seamless cardiac activity monitoring. Specifically, the vast majority employ Photoplethysmography (PPG) sensors to acquire blood volume pulse information, which is further analysed to extract useful and physiologically related features. Nevertheless, PPG-based signal reliability presents different challenges that strongly affect such data processing. This is mainly related to the fact of PPG morphological wave distortion due to motion artefacts, which can lead to erroneous interpretation of the extracted cardiac-related features. On this basis, in this paper, we propose a novel personalised and adjustable Interval Type-2 Fuzzy Logic System (IT2FLS) for assessing the quality of PPG signals. The proposed system employs a personalised approach to adapt the IT2FLS parameters to the unique characteristics of each individual's PPG signals.Additionally, the system provides adjustable levels of personalisation, allowing healthcare providers to adjust the system to meet specific requirements for different applications. The proposed system obtained up to 93.72\% for average accuracy during validation. The presented system has the potential to enable ultra-low complexity and real-time PPG quality assessment, improving the accuracy and reliability of PPG-based health monitoring systems at the edge.