2017
DOI: 10.1021/acssensors.7b00230
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A Wearable and Highly Sensitive Graphene Strain Sensor for Precise Home-Based Pulse Wave Monitoring

Abstract: Profuse medical information about cardiovascular properties can be gathered from pulse waveforms. Therefore, it is desirable to design a smart pulse monitoring device to achieve noninvasive and real-time acquisition of cardiovascular parameters. The majority of current pulse sensors are usually bulky or insufficient in sensitivity. In this work, a graphene-based skin-like sensor is explored for pulse wave sensing with features of easy use and wearing comfort. Moreover, the adjustment of the substrate stiffness… Show more

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Cited by 268 publications
(196 citation statements)
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“…[26,30] Increased arterial stiffness could decrease diastolic pressure, increase central systolic pressure, and cause the early return of reflected waves from the lower body to the aorta, [31] leading to alterations in the arterial pulse waveforms. First, the beat-to-beat arterial pulse waveforms of three asymptomatic males (28,43, and 56 years old) are detected, as shown in Figure 5b-d (i), demonstrating that arterial pulse waveforms exhibit age-related characteristics including the amplitude, shape, and feature point variations. First, the beat-to-beat arterial pulse waveforms of three asymptomatic males (28,43, and 56 years old) are detected, as shown in Figure 5b-d (i), demonstrating that arterial pulse waveforms exhibit age-related characteristics including the amplitude, shape, and feature point variations.…”
Section: Assessment Of Arterial Stiffness and Vascular Agingmentioning
confidence: 93%
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“…[26,30] Increased arterial stiffness could decrease diastolic pressure, increase central systolic pressure, and cause the early return of reflected waves from the lower body to the aorta, [31] leading to alterations in the arterial pulse waveforms. First, the beat-to-beat arterial pulse waveforms of three asymptomatic males (28,43, and 56 years old) are detected, as shown in Figure 5b-d (i), demonstrating that arterial pulse waveforms exhibit age-related characteristics including the amplitude, shape, and feature point variations. First, the beat-to-beat arterial pulse waveforms of three asymptomatic males (28,43, and 56 years old) are detected, as shown in Figure 5b-d (i), demonstrating that arterial pulse waveforms exhibit age-related characteristics including the amplitude, shape, and feature point variations.…”
Section: Assessment Of Arterial Stiffness and Vascular Agingmentioning
confidence: 93%
“…As depicted in Figure 4b, the typical points including the starting point (S), percussion wave (P), tidal wave (T), incisura wave (C), and diastolic wave (D) are clearly discernable and reproducible. [28] A 28-year-old asymptomatic male volunteer was recruited for pulse wave monitoring after exercise. Meanwhile, the time delay (Δt) between the P wave (c point) and C wave (e point) as well as the aging index (AI) can be calculated and utilized to estimate arterial elasticity and monitor health conditions.…”
Section: Monitoring Of Arterial Pulse Waveformsmentioning
confidence: 99%
“…Interlocked e‐skins successfully monitored such trends from decrease in AI r and DAI r , and increase in Δ T DVP with increasing body temperature. Effects of age on artery stiffness were also studied using graphene‐based wearable sensors . The sensor outputs show the increase of stiffness with age.…”
Section: Wearable‐device Applicationsmentioning
confidence: 99%
“…The heartbeat reflects the heart function of pumping oxygen into human blood over the whole body and removing carbon dioxide out of the lung. The heartbeat is the frequency of cardiac cycles, and the wave detail varies for different ages, body states, and even mental states . Recently, our group has reported rGO‐based pressure sensor with high sensitivity and wearable properties for subtle signals detection .…”
Section: Human Physical Signals Detectionmentioning
confidence: 99%