Journal
APPLIED SCIENCES-BASEL
Volume 11, Issue 6, Pages -Publisher
MDPI
DOI: 10.3390/app11062552
Keywords
smart textiles; sleeping posture classification; physiological signals; breathing signal elaboration
Categories
Funding
- Regione Toscana through the L.A.I.D. Project [POR FESR 2014-2020-DD3383389/2014-call 1]
Ask authors/readers for more resources
This research introduces a textile-based pressure sensing matrix that can be integrated into a smart mattress to analyze sleeping posture and breathing activity. The system consists of multiple sensors for sleep analysis and respiratory rate evaluation, with validation of classification and statistical accuracy.
According to current trends in healthcare sensing technologies, we describe a textile-based pressure sensing matrix that can be integrated in the mattress of a smart bed to characterize sleeping posture/movement of a subject and to extract breathing activity. The pressure mapping layer is developed as a matrix of 195 piezoresistive sensors, it is entirely made of textile materials, and it is the basic component of a smart bed that can perform sleep analysis, can extract physiological parameters, and can detect environmental data related to subject's health. In this paper, we show the principle of the pressure mapping layer and the architecture of the dedicated electronic system that we developed for signal acquisition. In addition, we describe the algorithms for posture/movement classification (dedicated artificial neural network) and for extraction of the breathing rate (frequency domain analysis). We also perform validation of the system to quantify the accuracy/precision of the posture classification and the statistical analysis to compare our breathing rate estimation with the gold standard.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available