A SmartBed for Non-obtrusive Physiological Monitoring During Sleep: The LAID Project

Laurino, Marco; Carbonaro, Nicola; Menicucci, Danilo; Alfì, Gaspare; Gemignani, Angelo; Tognetti, Alessandro

doi:10.1007/978-3-030-49289-2_12

Cited by 4 publications

(4 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As described in [ 7 , 8 ] and as shown in Figure 1 a, the Smart-Bed prototype includes a Docking station (DS), a physiological data collector (PDC) and an environmental data collector (EDC). The PDC and EDC are wired to DS via USB serial communication.…”

Section: Methodsmentioning

confidence: 99%

“…The possible approaches are the development of wearable technologies or the integration of sensors in daily-life objects [ 6 ]. As described in our previous works reported in [ 7 , 8 , 9 ], for non-invasive sleep quality and cardio-respiratory assessment, we developed the Smart-Bed prototype in the L.A.I.D project (Linking Automation to artificial Intelligence for revealing sleep Dysfunctions [ 10 ]). The Smart-Bed is based on a single mattress made by Materassificio Montalese (Pistoia, Italy) and was designed to detect the subject’s motion and position, physiological signals (heart rate and breathing rate) and environmental parameters (sound intensity, relative humidity, room temperature and luminosity).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Moving Auto-Correlation Window Approach for Heart Rate Estimation in Ballistocardiography Extracted by Mattress-Integrated Accelerometers

Laurino

Menicucci

Gemignani

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

Continuous heart monitoring is essential for early detection and diagnosis of cardiovascular diseases, which are key factors for the evaluation of health status in the general population. Therefore, in the future, it will be increasingly important to develop unobtrusive and transparent cardiac monitoring technologies for the population. The possible approaches are the development of wearable technologies or the integration of sensors in daily-life objects. We developed a smart bed for monitoring cardiorespiratory functions during the night or in the case of continuous monitoring of bedridden patients. The mattress includes three accelerometers for the estimation of the ballistocardiogram (BCG). BCG signal is generated due to the vibrational activity of the body in response to the cardiac ejection of blood. BCG is a promising technique but is usually replaced by electrocardiogram due to the difficulty involved in detecting and processing the BCG signals. In this work, we describe a new algorithm for heart parameter extraction from the BCG signal, based on a moving auto-correlation sliding-window. We tested our method on a group of volunteers with the simultaneous co-registration of electrocardiogram (ECG) using a single-lead configuration. Comparisons with ECG reference signals indicated that the algorithm performed satisfactorily. The results presented demonstrate that valuable cardiac information can be obtained from the BCG signal extracted by low cost sensors integrated in the mattress. Thus, a continuous unobtrusive heart-monitoring through a smart bed is now feasible.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Moving Auto-Correlation Window Approach for Heart Rate Estimation in Ballistocardiography Extracted by Mattress-Integrated Accelerometers

Laurino

Menicucci

Gemignani

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Most sensor arrays are a sandwich of three layers: a middle piezoresistive pressure-sensitive layer is sandwiched between two outer layers with embedded parallel conductive tracks (hereinafter the outer layers are referred to as conductive layers). Such completely textile-based arrays have been developed and successively tested in a number of applications: a sitting posture control device [8], a sports mat [9], a smart bed [10] and others.…”

Section: Introductionmentioning

confidence: 99%

Functional fabrics for multilayered textile pressure sensors: comparison of structures and sensitivity characteristics

Okss

Vališevskis

Briedis

et al. 2023

22nd International Scientific Conference Engineering for Rural Development Proceedings

View full text Add to dashboard Cite

In the field of protective smart clothing, such topics as monitoring of wearer’s vital signs and spatial position are thoroughly studied in the literature. On the other hand, solutions for monitoring of hazardous events, such as high-energy impacts with foreign objects are studied to less extent. Such protective clothing is intended both for operators, working in environments with a risk of injury due to impact with moving parts or falling objects, e.g. operators of heavy agricultural machinery, first responders etc. Such a sensor would enable to detect the location of the impact, its force and would allow to develop a system that sends appropriate emergency signals. The proposed paper focuses on the development of such a sensor, giving a special attention to its structure and usable materials. The proposed matrix array sensor consists of three layers: upper and lower layers with electrically conductive traces and the intermediate piezoresistive layer. Due to the intended application, a textile piezoresistive layer is chosen and after studying the commercially available materials, EeonTex LTT-SLPA 60 kOhm conductive polymer-coated knitted fabric and Sefar Carbotex 03-120CF, 03-160CF and 03-205CF carbon/polyester woven fabrics were selected as the most suitable candidates for further testing. The testing was accomplished using Zwick/Roell Z2.5 compression/strain testing column and Agilent A34970A ohmmeter. The testing focused on changes in fabrics’ conductivity under cyclic stress, sensitivity, measurement hysteresis and repeatability. Different technologies for connecting the piezoresistive and the outside layers were tested as well: direct connection and connection using conductive adhesive textile tapes. Based on the results obtained during testing, recommendations are given for the usage of the studied materials, based on their performance under various levels of stress. During the experiments the best metrological results were demonstrated by piezoresistive fabrics with conductive polymer coating. Besides that, it was concluded that while hot-melt adhesive conductive tapes substantially degrade the sensors’ properties, the use of self-adhesive conductive tapes ensure constant and stable contact between the sandwich layers and thus improve the measuring stability.

show abstract

“…The smart bed described in our previous works and reported in [4,5] was developed in the frame of the L.A.I.D project (Linking Automation to artificial Intelligence for revealing sleep Dysfunctions [6]) and was designed for sleep analysis and extraction of physiological signals.…”

Section: Introductionmentioning

confidence: 99%

Textile-Based Pressure Sensing Matrix for In-Bed Monitoring of Subject Sleeping Posture and Breathing Activity

et al. 2021

View full text Add to dashboard Cite

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.

show abstract

A SmartBed for Non-obtrusive Physiological Monitoring During Sleep: The LAID Project

Cited by 4 publications

References 16 publications

Moving Auto-Correlation Window Approach for Heart Rate Estimation in Ballistocardiography Extracted by Mattress-Integrated Accelerometers

Moving Auto-Correlation Window Approach for Heart Rate Estimation in Ballistocardiography Extracted by Mattress-Integrated Accelerometers

Functional fabrics for multilayered textile pressure sensors: comparison of structures and sensitivity characteristics

Textile-Based Pressure Sensing Matrix for In-Bed Monitoring of Subject Sleeping Posture and Breathing Activity

Contact Info

Product

Resources

About