Conceptual design of a machine learning-based wearable soft sensor for non-invasive cardiovascular risk assessment

Arpaïa, Pasquale; Cuocolo, Renato; Rigoli, Francesco; Espósito, Antonio; Moccaldi, Nicola; Natalizio, Angela; Prevete, Roberto

doi:10.1016/j.measurement.2020.108551

Cited by 24 publications

(4 citation statements)

References 33 publications

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“…Frontiers in Sensors frontiersin.org interest due to the population ageing shift that is currently observed worldwide. Present biosensors of cardiovascular ageing focus on noninvasive procedures that uses physical function (such as blood pressure, body mass index, and electrocardiogram analysis) (De Cannière et al, 2020;Zhu et al, 2022) or physiological fluids (mostly blood-based) (Falk et al, 2020;Ouyang et al, 2021) that are coupled to a machine learning algorithm for predictive cardiovascular risk assessment (Arpaia et al, 2021). Blood-based biomarkers for biosensors of cardiovascular diseases that are currently available have recently been extensively reviewed by Ouyang et al (2021) and are therefore not further elaborated here.…”

Section: Collagenmentioning

confidence: 99%

Biomarkers for biosensors to monitor space-induced cardiovascular ageing

Rehnberg

Quaghebeur²,

Baselet³

et al. 2023

Front. Sens.

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Human presence in space has uncovered several health concerns related to the space environment that need to be addressed for future space missions. The hostile space environment includes radiation and microgravity that cause various pathophysiological effects. Among them are conditions related to the cardiovascular system. The cardiovascular system shows a dysfunctional and deconditioning state, similar to ageing on Earth, once exposed to the space environment. As we aim for longer space missions to the Moon, Mars, and thus into deep space, better understanding, monitoring, and development of countermeasures for these accelerated ageing processes are necessary. Biomarkers and their integration into biosensors therefore become important tools to understand the underlying mechanisms, develop countermeasures and monitor accelerated cardiovascular ageing. In this review, we will provide a brief overview of the space environment and its effects on the human cardiovascular system. We list the known potential cardiovascular ageing biomarkers relevant to space along with our current knowledge of the underlying mechanisms of cardiovascular ageing. We also explore in more details about the various biosensors used, their specifications, and how lab-on-a-chip systems are crucial to the development of these biosensors for tracking cardiovascular ageing during upcoming space missions.

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Section: Collagenmentioning

confidence: 99%

Biomarkers for biosensors to monitor space-induced cardiovascular ageing

Rehnberg

Quaghebeur²,

Baselet³

et al. 2023

Front. Sens.

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“…Therefore, the score developed in this work could be used at each visit of health surveillance as a clinical tool to predict the 10-year risk of unsuitability for work using the personal information and medical history of the worker. Considering that high cardiovascular risk is also associated with a higher risk of unsuitability for work and that an occupational medicine doctor might have limited knowledge of the worker's medical history, it might be useful to have a tool with which to conduct an accurate assessment of the risk of unsuitability for work due to cardiovascular factors and to adopt non-pharmaceutical and pharmaceutical interventions to reduce it [37].…”

Section: Public Health and Occupational Medicine Implicationsmentioning

confidence: 99%

A Cardiovascular Risk Score for Use in Occupational Medicine

Affinito

Arpaïa

Barone-Adesi

et al. 2021

JCM

Self Cite

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Cardiovascular disease is one of the most frequent causes of long-term sickness absence from work. The study aims to develop and validate a score to assess the 10-year risk of unsuitability for work accounting for the cardiovascular risk. The score can be considered as a prevention tool that would improve the cardiovascular risk assessment during health surveillance visits under the assumption that a high cardiovascular risk might also translate into high risk of unsuitability for work. A total of 11,079 Italian workers were examined, as part of their scheduled occupational health surveillance. Cox proportional hazards regression models were employed to derive risk equations for assessing the 10-year risk of a diagnosis of unsuitability for work. Two scores were developed: the CROMA score (Cardiovascular Risk in Occupational Medicine) included age, sex, smoking status, blood pressure (systolic and diastolic), body mass index, height, diagnosis of hypertension, diabetes, ischemic heart disease, mental disorders and prescription of antidiabetic and antihypertensive medications. The CROMB score was the same as CROMA score except for the inclusion of only variables statistically significant at the 0.05 level. For both scores, the expected risk of unsuitability for work was higher for workers in the highest risk class, as compared with the lowest. Moreover results showed a positive association between most of cardiovascular risk factors and the risk of unsuitability for work. The CROMA score demonstrated better calibration than the CROMB score (11.624 (p-value: 0.235)). Moreover, the CROMA score, in comparison with existing CVD risk scores, showed the best goodness of fit and discrimination.

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“…Wearable and implantable sensors can monitor various human health indicators and offer insight into kidney, cardiovascular, and respiratory system diseases. These technologies help facilitate early prevention and proper treatment [ 14 , 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Applications of Transistor-Based Biochemical Sensors

Gao

Ming

2023

Biosensors

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Transistor-based biochemical sensors feature easy integration with electronic circuits and non-invasive real-time detection. They have been widely used in intelligent wearable devices, electronic skins, and biological analyses and have shown broad application prospects in intelligent medical detection. Field-effect transistor (FET) sensors have high sensitivity, reasonable specificity, rapid response, and portability and provide unique signal amplification during biochemical detection. Organic field-effect transistor (OFET) sensors are lightweight, flexible, foldable, and biocompatible with wearable devices. Organic electrochemical transistor (OECT) sensors convert biological signals in body fluids into electrical signals for artificial intelligence analysis. In addition to biochemical markers in body fluids, electrophysiology indicators such as electrocardiogram (ECG) signals and body temperature can also cause changes in the current or voltage of transistor-based biochemical sensors. When modified with sensitive substances, sensors can detect specific analytes, improve sensitivity, broaden the detection range, and reduce the limit of detection (LoD). In this review, we introduce three kinds of transistor-based biochemical sensors: FET, OFET, and OECT. We also discuss the fabrication processes for transistor sources, drains, and gates. Furthermore, we demonstrated three sensor types for body fluid biomarkers, electrophysiology signals, and development trends. Transistor-based biochemical sensors exhibit excellent potential in multi-mode intelligent analysis and are good candidates for the next generation of intelligent point-of-care testing (iPOCT).

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Conceptual design of a machine learning-based wearable soft sensor for non-invasive cardiovascular risk assessment

Cited by 24 publications

References 33 publications

Biomarkers for biosensors to monitor space-induced cardiovascular ageing

Biomarkers for biosensors to monitor space-induced cardiovascular ageing

A Cardiovascular Risk Score for Use in Occupational Medicine

Applications of Transistor-Based Biochemical Sensors

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