Engineering materials, Journal Year: 2025, Volume and Issue: unknown, P. 169 - 188
Published: Jan. 1, 2025
Language: Английский
Engineering materials, Journal Year: 2025, Volume and Issue: unknown, P. 169 - 188
Published: Jan. 1, 2025
Language: Английский
Biosensors, Journal Year: 2024, Volume and Issue: 14(2), P. 90 - 90
Published: Feb. 6, 2024
This article explores the importance of wearable and remote technologies in healthcare. The focus highlights its potential continuous monitoring, examines specificity issue, offers a view proactive Our research describes wide range device types scientific methodologies, starting from traditional chest belts to their modern alternatives cutting-edge bioamplifiers that distinguish breathing impedance variations. We also investigated innovative such as monitoring thorax micromovements based on principles seismocardiography, ballistocardiography, camera recordings, deployment integrated optical fibers, or extraction respiration cardiovascular variables. review is extended include acoustic methods breath blood gas analysis, providing comprehensive overview different approaches respiratory monitoring. topic with electronics currently center attention researchers, which reflected by growing number publications. In our manuscript, we offer an most interesting ones.
Language: Английский
Citations
35Open Access Research Journal of Multidisciplinary Studies, Journal Year: 2024, Volume and Issue: 7(1), P. 142 - 148
Published: March 19, 2024
Wearable technology has emerged as a transformative force in the healthcare landscape, reshaping way patient health is monitored and outcomes are enhanced. The paper delves into various types of wearables, including fitness trackers, smartwatches, medical elucidating their functionalities applications domain. review emphasizes profound influence wearable on monitoring, encompassing continuous tracking, remote chronic disease management. Through real-time data collection analysis, wearables enable early detection abnormalities empower providers to offer timely interventions, thereby reducing hospital readmissions. role management examined, showcasing potential tailoring personalized treatment plans facilitating proactive Furthermore, explores broader implications enhancing outcomes. Wearables contribute improved engagement by providing individuals with access data, fostering sense empowerment accountability. underscores shift towards healthcare, where play pivotal based individual leveraging predictive analytics for prevention. Despite promising advancements, challenges such security, privacy concerns, integration existing systems discussed. Strategies address these enhance user adoption adherence explored, recognizing importance holistic approach realizing full healthcare. This serves comprehensive guide researchers, providers, policymakers, offering insights evolving landscape its impact monitoring improving
Language: Английский
Citations
23Materials Science and Engineering R Reports, Journal Year: 2024, Volume and Issue: 159, P. 100804 - 100804
Published: May 21, 2024
Language: Английский
Citations
17Nature Reviews Cardiology, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 18, 2025
Language: Английский
Citations
2Soft Science, Journal Year: 2024, Volume and Issue: 4(3)
Published: June 12, 2024
The lack of infrastructure and accessibility in medical treatments has been considered as a global chronic issue since the concept treatment prevention was presented. After COVID-19 pandemic, reaction capability for epidemic outbreak/spread spotlighted critical to fore worldwide. To reduce burden on system from simultaneous disease emergence, personalized wearable electronic systems have arisen next-generation biomedical monitoring/treating equipment infectious diseases at initial stage. In particular, skin (e-skin) with its potential multifunctional extendibility enabled be applied long-term healthcare devices real-time biosignal sensing. Here, we introduce recent enhancements various e-skin applications terms material types device structures, including sensor components, biological signal sensing mechanisms, applicable technological advancements, utilization.
Language: Английский
Citations
11Clinical Hypertension, Journal Year: 2024, Volume and Issue: 30(1)
Published: April 1, 2024
Abstract Hypertension is the leading cause of morbidity and mortality worldwide. mostly accompanies no symptoms, therefore blood pressure (BP) measurement only way for early recognition timely treatment. Methods BP have a long history development improvement. Invasive method via arterial cannulation was first proven possible in 1800’s. Subsequent scientific progress led to auscultatory method, also known as Korotkoff’ sound, oscillometric which enabled clinically available measurement. However, hypertension management status still poor. Globally, less than half adults are aware their diagnosis, one-third them being treated under control. Novel methods actively investigated thanks technological advances such sensors machine learning addition clinical needs easier more convenient Each adopts different technologies with its own specific advantages disadvantages. Promises novel include comprehensive information on out-of-office capturing dynamic short-term long-term fluctuations. there pitfalls need regular calibration since most capture relative changes rather an absolute value. In addition, growing concern accuracy precision conventional validation protocols inappropriate cuffless continuous methods. this article, we provide overview past present emerging introduced respect potential applications limitations. Graphical
Language: Английский
Citations
6Health and Technology, Journal Year: 2023, Volume and Issue: 14(1), P. 15 - 34
Published: Dec. 6, 2023
Language: Английский
Citations
14Biosensors, Journal Year: 2024, Volume and Issue: 14(4), P. 205 - 205
Published: April 20, 2024
Wearable health devices (WHDs) are rapidly gaining ground in the biomedical field due to their ability monitor individual physiological state everyday life scenarios, while providing a comfortable wear experience. This study introduces novel wearable device capable of synchronously acquiring electrocardiographic (ECG), photoplethysmographic (PPG), galvanic skin response (GSR) and motion signals. The has been specifically designed be worn on finger, enabling acquisition all biosignals directly fingertips, offering significant advantage being very easy employed by users. simultaneous different allows extraction important indices, such as heart rate (HR) its variability (HRV), pulse arrival time (PAT), GSR level, blood oxygenation level (SpO2), respiratory rate, well detection, assessment states, together with detection potential physical mental stress conditions. Preliminary measurements have conducted healthy subjects using measurement protocol consisting resting states (i.e., SUPINE SIT) alternated conditions STAND WALK). Statistical analyses carried out among distributions indices extracted time, frequency, information domains, evaluated under results our demonstrate capability detect changes between rest conditions, thereby encouraging use for assessing individuals’ state. Furthermore, possibility performing synchronous acquisitions PPG ECG signals allowed us compare HRV (PRV) so corroborate reliability PRV analysis stationary Finally, confirms already known limitations during activities, suggesting algorithms artifact correction.
Language: Английский
Citations
4Harvard data science review, Journal Year: 2024, Volume and Issue: 6(3)
Published: July 1, 2024
Smartwatches and other wearable devices are equipped with photoplethysmography (PPG) sensors for monitoring heart rate aspects of cardiovascular health. However, PPG signals collected from such susceptible to corruption noise motion artifacts, resulting in inaccuracies during estimation. Conventional denoising methods filter or reconstruct ways that eliminate morphological information, even the clean segments signal should ideally be preserved. In this work, we develop an algorithm reconstructs corrupted parts signal, while preserving signal. Our novel framework relies on self-supervised training, where leverage a large database train autoencoder. As show, our reconstructed provide better estimates than leading estimation methods. Further experiments show improvement variability (HRV) using algorithm. We conclude denoises way can improve downstream analysis health metrics devices.
Language: Английский
Citations
4Nano Today, Journal Year: 2024, Volume and Issue: 59, P. 102544 - 102544
Published: Nov. 8, 2024
Language: Английский
Citations
4