Biocompatible and Flexible Piezoelectric Thin Film Materials and Devices for Skin Compliant Transducers DOI
Vincenzo Mastronardi, Gaia de Marzo, Luca Fachechi

et al.

Published: Oct. 22, 2023

Skin electronics for health monitoring require materials and devices with unique properties such as biocompatibility, flexibility, high sensitivity. In this work, we describe our recent work in exploiting piezoelectric thin films, based on either aluminum nitride (A1N) or chitosan biopolymers, skin-compliant transducers to record biomechanical signals skin.

Language: Английский

Advances in triboelectric nanogenerators for self‐powered wearable respiratory monitoring DOI Creative Commons

William Kwak,

Junyi Yin, Shaolei Wang

et al.

FlexMat., Journal Year: 2024, Volume and Issue: 1(1), P. 5 - 22

Published: April 1, 2024

Abstract Triboelectric nanogenerators (TENGs) have recently gained attention as a compelling platform technology for building wearable bioelectronics. Aside from being self‐powered, TENGs are lightweight, low in cost, rich material choice, comfortable to wear, and increasingly versatile with advances sensitivity efficiency. Due these features, become appealing biomedical sensing applications, especially human respiration monitoring. A wealth of information can be collected by breath‐induced electrical signals, which crucial the analysis patient's respiratory condition early detection harmful respiratory‐linked diseases. thus been used continuously collect important data, breathing patterns, flow rate, intensity an individual's cycle chemicals that may present their breath. This review paper provides overview recent developments TENG‐based monitoring well future opportunities challenges healthcare.

Language: Английский

Citations

21
Hybrid Integration of Wearable Devices for Physiological Monitoring DOI
Yu Zhang, Xin Ting Zheng, Xiangyu Zhang

et al.

Chemical Reviews, Journal Year: 2024, Volume and Issue: 124(18), P. 10386 - 10434

Published: Aug. 27, 2024

Wearable devices can provide timely, user-friendly, non- or minimally invasive, and continuous monitoring of human health. Recently, multidisciplinary scientific communities have made significant progress regarding fully integrated wearable such as sweat sensors, saliva wound sensors. However, the translation these wearables into markets has been slow due to several reasons associated with poor system-level performance wearables. The wearability consideration for compromises many properties Besides, limited power capacity hinders extended duration. Furthermore, peak-power operations intensive computations quickly create thermal issues in compact form factor that interfere sensor operations. Moreover, are constantly subjected environmental, mechanical, chemical, electrical interferences variables invalidate collected data. This generates need sophisticated data analytics contextually identify, include, exclude points per multisensor fusion enable accurate interpretation. review synthesizes challenges surrounding device integration from three aspects terms hardware, energy, data, focuses on a discussion about hybrid devices, seeks comprehensive guidance designing functional stable devices.

Language: Английский

Citations

14
Heartbeat and respiration monitoring based on FBG sensor network DOI
Zhichao Liu, Xi Zhang,

taoping shao

et al.

Optical Fiber Technology, Journal Year: 2023, Volume and Issue: 81, P. 103561 - 103561

Published: Oct. 21, 2023

Language: Английский

Citations

10
Cardiorespiratory Sensors and Their Implications for Out-of-Hospital Cardiac Arrest Detection: A Systematic Review DOI
Saud Lingawi, Jacob Hutton, Mahsa Khalili

et al.

Annals of Biomedical Engineering, Journal Year: 2024, Volume and Issue: 52(5), P. 1136 - 1158

Published: Feb. 15, 2024

Language: Английский

Citations

3
An Inertial-Based Wearable System for Monitoring Vital Signs during Sleep DOI Creative Commons
Spyridon Kontaxis, Foivos S. Kanellos, Adamantios Ntanis

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(13), P. 4139 - 4139

Published: June 26, 2024

This study explores the feasibility of a wearable system to monitor vital signs during sleep. The incorporates five inertial measurement units (IMUs) located on waist, arms, and legs. To evaluate performance novel framework, twenty-three participants underwent sleep study, signs, including respiratory rate (RR) heart (HR), were monitored via polysomnography (PSG). dataset comprises individuals with varying severity sleep-disordered breathing (SDB). Using single IMU sensor positioned at strong correlations more than 0.95 PSG-derived obtained. Low inter-participant mean absolute errors about 0.66 breaths/min 1.32 beats/min achieved, for RR HR, respectively. percentage data available analysis, representing time coverage, was 98.3% estimation 78.3% HR estimation. Nevertheless, fusion from IMUs arms legs enhanced coverage by over 15%. These findings imply that proposed methodology can be used sign monitoring sleep, paving way comprehensive understanding quality in SDB.

Language: Английский

Citations

2
A New Smartphone-Based Method for Remote Health Monitoring: Assessment of Respiratory Kinematics DOI Open Access
Emanuele Vignali, Emanuele Gasparotti, Luca Miglior

et al.

Electronics, Journal Year: 2024, Volume and Issue: 13(6), P. 1132 - 1132

Published: March 20, 2024

The remote monitoring of clinical parameters plays a fundamental role in different situations, like pandemic health emergencies and post-surgery conditions. In these the patients might be impeded their movements, it could difficult to have specific monitoring. recent years, technological advances smartphones opened up new possibilities this landscape. present work aims propose method for respiratory kinematics via smartphone sensors. particular, application was developed register inertial measurement unit (IMU) sensor data from guide user through acquisition session. session defined allow movement five prescribed positions. sequence were successfully tested on given population 77 healthy volunteers. resulting accelerometers gyroscope signals processed evaluate significance differences according participants’ sex, vector components, positioning and, finally, estimate rate. statistical that emerged revealed information

Language: Английский

Citations

0
Acquisition and Processing of ECG and PPG Signals Using Face-Worn Sensors for Extracting the Cardio-Respiratory Parameters DOI
Roberto De Fazio, Lorenzo Spongano, Paolo Visconti

et al.

2022 7th International Conference on Smart and Sustainable Technologies (SpliTech), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 6

Published: June 25, 2024

Language: Английский

Citations

0
PCG Signal Acquisition and Classification for Heart Failure Detection: Recent Advances and Implementation of Memory-Efficient Classifiers for Edge Computing-Based Wearable Devices DOI
Lorenzo Spongano, Roberto De Fazio, Massimo De Vittorio

et al.

2022 7th International Conference on Smart and Sustainable Technologies (SpliTech), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 6

Published: June 25, 2024

Language: Английский

Citations

0
A Sensorized Face Mask to Monitor Sleep and Health of the Astronauts: Architecture Definition, Sensing Section Development and Biosignals’ Acquisition DOI
Roberto De Fazio, Vincenzo Mastronardi, Massimo De Vittorio

et al.

2022 7th International Conference on Smart and Sustainable Technologies (SpliTech), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 6

Published: June 25, 2024

Language: Английский

Citations

0
Biocompatible and Flexible Piezoelectric Thin Film Materials and Devices for Skin Compliant Transducers DOI
Vincenzo Mastronardi, Gaia de Marzo, Luca Fachechi

et al.

Published: Oct. 22, 2023

Skin electronics for health monitoring require materials and devices with unique properties such as biocompatibility, flexibility, high sensitivity. In this work, we describe our recent work in exploiting piezoelectric thin films, based on either aluminum nitride (A1N) or chitosan biopolymers, skin-compliant transducers to record biomechanical signals skin.

Language: Английский

Citations

0