An Improved Model for the Assessment of Cutaneous Microcirculation in Type 1 Diabetes

COVID-19 detection using a model of photoplethysmography (PPG) signals

“…Several models have been proposed to this purpose [19] . The model presented in this study is based on the same structure we used in our recent studies focused on the effect of type 2 diabetes [20] and ageing [21] on microcirculation. In brief, the model assumes that the pulse waveform is generated by a linear system; this assumption helps to simplify the mathematical description of the system response, as the response of any linear system to an ideal pulse can be expressed as a sum of decreasing exponential functions.…”

Detecting sepsis from photoplethysmography: strategies for dataset preparation

“…The present work is part of a project aiming at the development of a screening system that is suitable for monitoring patients during their stay in ICU, requiring the minimum amount of data collection, for reducing invasiveness and costs. In particular, we focused on the creation of a screening system having a single input, the photoplethysmogram (PPG) waveform obtained from pulse oximetry, as similar systems were successfully used in detecting ageing and diabetes [2], [3], [4]. This system could have large impact, as it can be adopted as early warning sign for suggesting to start a specific diagnostic procedure, aiming at reducing the time to diagnosis.…”