Publications by authors named "Alicja Kwasniewska"
Article Synopsis
- As healthcare costs rise, affordable and non-invasive monitoring of vital signs, like respiratory rate (RR), is becoming crucial.
- Existing methods for RR assessment are complex and often challenging to implement on less powerful edge devices due to their dependence on multiple processing steps.
- The study proposes a single neural network that performs RR estimation in one step, utilizing advanced video recognition techniques for effective data processing while being robust enough for low-resolution thermal videos suitable for embedded systems.
Evaluation of Facial Pulse Signals using Deep Neural Net Models.
Annu Int Conf IEEE Eng Med Biol Soc
July 2019
The reliable measurement of the pulse rate using remote photoplethysmography (PPG) is very important for many medical applications. In this paper we present how deep neural networks (DNNs) models can be used in the problem of PPG signal classification and pulse rate estimation. In particular, we show that the DNN-based classification results correspond to parameters describing the PPG signals (e.
View Article and Find Full Text PDFEvaluating Accuracy of Respiratory Rate Estimation from Super Resolved Thermal Imagery.
Annu Int Conf IEEE Eng Med Biol Soc
July 2019
Non-contact estimation of Respiratory Rate (RR) has revolutionized the process of establishing the measurement by surpassing some issues related to attaching sensors to a body, e.g. epidermal stripping, skin disruption and pain.
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