A highly accurate flexible sensor system for human blood pressure and heart rate monitoring based on graphene/sponge

Zhang, Fan; Yang, Kun; Pei, Zhen; Wu, Yue; Sang, Shengbo; Zhang, Qiang; Jiao, Huameng

doi:10.1039/d1ra08608a

Cited by 32 publications

(26 citation statements)

References 40 publications

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“…Thus, it is very important to develop new pressure sensors of high sensitivity, short response time, and wide linearity in the sensitive range (>10 kPa) to achieve accurate acquisition of human signals. Some of the promising strategies such as transformation in microstructural geometries (development of 3D porous conductive structures, pyramidal structure, prisms, hemispheres, and epidermis microstructure) and improvement in data processing techniques could be employed to solve the previously described problem. − …”

Section: Criteria and Challenges To Design Flexible Pressure Sensors ...mentioning

confidence: 99%

Functionality of Flexible Pressure Sensors in Cardiovascular Health Monitoring: A Review

Mishra

Mohanty

2022

ACS Sens.

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As the highest percentage of global mortality is caused by several cardiovascular diseases (CVD), maintenance and monitoring of a healthy cardiovascular condition have become the primary concern of each and every individual. Simultaneously, recent progress and advances in wearable pressure sensor technology have provided many pathways to monitor and detect underlying cardiovascular illness in terms of irregularities in heart rate, blood pressure, and blood oxygen saturation. These pressure sensors can be comfortably attached onto human skin or can be implanted on the surface of vascular grafts for uninterrupted monitoring of arterial blood pressure. While the traditional monitoring systems are timeconsuming, expensive, and not user-friendly, flexible sensor technology has emerged as a promising and dynamic practice to collect important health information at a comparatively low cost in a reliable and user-friendly way. This Review explores the importance and necessity of cardiovascular health monitoring while emphasizing the role of flexible pressure sensors in monitoring patients' health conditions to avoid adverse effects. A comprehensive discussion on the current research progress along with the real-time impact and accessibility of pressure sensors developed for cardiovascular health monitoring applications has been provided.

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Section: Criteria and Challenges To Design Flexible Pressure Sensors ...mentioning

confidence: 99%

Functionality of Flexible Pressure Sensors in Cardiovascular Health Monitoring: A Review

Mishra

Mohanty

2022

ACS Sens.

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“…The electrocardiogram is a type of electrical signal that provides information related to the functioning of the human heart. This is made up of several different waveforms, including P, Q, R, S, and T, with the R waveform being the component that has the highest amplitude value [11,12]. Refer to Figure 7, R waveform is the component of the ECG signal that is most notorious in terms of magnitude.…”

Section: Ecg Signal R Wave Detectionmentioning

confidence: 99%

Heart rate monitoring of physical fitness training load based on wavelet transform

Zhang¹,

Sharma

Samori

2022

The Journal of Engineering

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The detection of fluctuations is a crucial step in the process of isolating heart rate oscillation signals. This is necessary to circumvent the issue wherein a variety of auditory signals will invariably interfere with the collection of centre velocity signals during physical activity, which has a significant impact on the detection efficiency of automated testing. To obtain heart rate fluctuation signals that are more precise, the paper proposes a method of R‐wave identification that is based on heartbeat conversion while the athlete is exercising. The proposed model relies heavily on the technique of wave analysis to filter out the background noise of the heartbeat when the athlete exercises and isolates the R‐wave signal of the heartbeat from the background noise. The proposed algorithm is evaluated in terms of noise interference that removes approximately 90% of noise, the heart rate data which is obtained after the noise is normally distributed, the average detection rate of the R‐wave algorithm is 98.65%. It has been demonstrated that the detection accuracy of the proposed algorithm is sufficient to meet the requirements of generating heart rate oscillatory signals.

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“…13,14 Graphene-based aerogels have demonstrated unique properties including, high strength, low density and three-dimensional (3D) interconnected structures with macroscale dimensions, 15 which have been exploited for various applications e.g. , wearable sensors, 13,14 electrodes 16,17 and adsorbents. 18,19 Recently a robust method of fabricating graphene-based aerogels has been demonstrated through the self-assembly of graphene oxide (GO) and M13 bacteriophage, 20 a filamentous virus with a diameter of 6.6 nm and length of 880 nm.…”

Section: Introductionmentioning

confidence: 99%

Optimisation of GraPhage13 macro-dispersibility via understanding the pH-dependent ionisation during self-assembly: towards the manufacture of graphene-based nanodevices

et al. 2023

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A highly accurate flexible sensor system for human blood pressure and heart rate monitoring based on graphene/sponge

Abstract: We fabricated a flexible sensing system, including the preparation of sensors and construction of the signal processing computing platform, which enabled human health monitoring by collecting pulse signals.

Cited by 32 publications

References 40 publications

Functionality of Flexible Pressure Sensors in Cardiovascular Health Monitoring: A Review

Functionality of Flexible Pressure Sensors in Cardiovascular Health Monitoring: A Review

Heart rate monitoring of physical fitness training load based on wavelet transform

Optimisation of GraPhage13 macro-dispersibility via understanding the pH-dependent ionisation during self-assembly: towards the manufacture of graphene-based nanodevices

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