Blink-sensing glasses: A flexible iontronic sensing wearable for continuous blink monitoring

Chen, Rui; Zhang, Zhichao; Ka, Deng; Wang, Dahu; Ke, Hongmin; Cai, Li; Chang, Chi-Wei; Pan, Tingrui

doi:10.1016/j.isci.2021.102399

Cited by 13 publications

(8 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, flexible, stretchable and multi-functional wearable systems are urgently needed. The front-end components of the system involve all kinds of sensors that detect physiological signals and human movements, such as body temperature [1,2], heart rate [3,4], blood glucose [5,6], blinking [7,8], acceleration [9,10], etc. According to the working mechanism, these sensors can be divided into resistive sensors, capacitive sensors, triboelectric sensors, piezoelectric sensors, thermo-electric sensors, pyroelectric sensors and others fabricated by hybrid mechanisms, as shown in Figure 1 [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Wearable Multi-Functional Sensing Technology for Healthcare Smart Detection

Deng

Wen

et al. 2022

Micromachines

View full text Add to dashboard Cite

In recent years, considerable research efforts have been devoted to the development of wearable multi-functional sensing technology to fulfill the requirements of healthcare smart detection, and much progress has been achieved. Due to the appealing characteristics of flexibility, stretchability and long-term stability, the sensors have been used in a wide range of applications, such as respiration monitoring, pulse wave detection, gait pattern analysis, etc. Wearable sensors based on single mechanisms are usually capable of sensing only one physiological or motion signal. In order to measure, record and analyze comprehensive physical conditions, it is indispensable to explore the wearable sensors based on hybrid mechanisms and realize the integration of multiple smart functions. Herein, we have summarized various working mechanisms (resistive, capacitive, triboelectric, piezoelectric, thermo-electric, pyroelectric) and hybrid mechanisms that are incorporated into wearable sensors. More importantly, to make wearable sensors work persistently, it is meaningful to combine flexible power units and wearable sensors and form a self-powered system. This article also emphasizes the utility of self-powered wearable sensors from the perspective of mechanisms, and gives applications. Furthermore, we discuss the emerging materials and structures that are applied to achieve high sensitivity. In the end, we present perspectives on the outlooks of wearable multi-functional sensing technology.

show abstract

Section: Introductionmentioning

confidence: 99%

Wearable Multi-Functional Sensing Technology for Healthcare Smart Detection

Deng

Wen

et al. 2022

Micromachines

View full text Add to dashboard Cite

show abstract

“…In addition, Chen et al ( 2021 ) recently developed a blink-sensing glasses to detect the blinking pattern between DED subjects and health controls. It has been recognized in the recent years that increased digital screen use (either for occupational, recreational or educational purpose) is a significant predisposing risk factor for DED (Mehra and Galor, 2020 ).…”

Section: Future Directionsmentioning

confidence: 99%

Big data in corneal diseases and cataract: Current applications and future directions

et al. 2023

View full text Add to dashboard Cite

The accelerated growth in electronic health records (EHR), Internet-of-Things, mHealth, telemedicine, and artificial intelligence (AI) in the recent years have significantly fuelled the interest and development in big data research. Big data refer to complex datasets that are characterized by the attributes of “5 Vs”—variety, volume, velocity, veracity, and value. Big data analytics research has so far benefitted many fields of medicine, including ophthalmology. The availability of these big data not only allow for comprehensive and timely examinations of the epidemiology, trends, characteristics, outcomes, and prognostic factors of many diseases, but also enable the development of highly accurate AI algorithms in diagnosing a wide range of medical diseases as well as discovering new patterns or associations of diseases that are previously unknown to clinicians and researchers. Within the field of ophthalmology, there is a rapidly expanding pool of large clinical registries, epidemiological studies, omics studies, and biobanks through which big data can be accessed. National corneal transplant registries, genome-wide association studies, national cataract databases, and large ophthalmology-related EHR-based registries (e.g., AAO IRIS Registry) are some of the key resources. In this review, we aim to provide a succinct overview of the availability and clinical applicability of big data in ophthalmology, particularly from the perspective of corneal diseases and cataract, the synergistic potential of big data, AI technologies, internet of things, mHealth, and wearable smart devices, and the potential barriers for realizing the clinical and research potential of big data in this field.

show abstract

“…Notably, the distinct pulse waveform features can still be extracted from the high‐fidelity recording using a simple bandpass filter, as illustrated in Figure 5f. [ 57 ] Consequently, the heart rate has been obtained with a slight increase to 120 BPM, implying the alteration of the physiological status. Overall, with its unprecedented high sensitivity and high fidelity, the aquatic skin can offer continuous monitoring of the arterial pulse waveforms with important physiological information detected, despite the motion artifacts.…”

Section: Applicationsmentioning

confidence: 99%

Aquatic Skin Enabled by Multi‐Modality Iontronic Sensing

Cheng

Guo

et al. 2022

Adv Funct Materials

Self Cite

View full text Add to dashboard Cite

Perception of information is of critical importance for aquatic activities; however, the complex underwater situation faces unique technical challenges to address. Thus, an underwater environment-incorporated sensing strategy, referred to as aquatic skin, has been introduced with multi-modality sensing capacities of contact pressure, tactile mapping, depth, temperature, and salinity in a flexible architecture. Remarkably, this has been all achieved by a multi-modality iontronic sensing principle in an all-in-one structural configuration, simplifying the sensor design, material preparation, device fabrication, and signal processing. Particularly, an inverse iontronic sensing mechanism, utilizing complementary elastomeric-electrode and environmental-electrode interfaces, is developed for contact pressure detection with exceptional resolution and hydraulic balance. Moreover, a hydrophobic ionic gel with adjustable surface morphologies has been developed as the functional sensing layer for all the units with long-term stability. Consequently, the aquatic skin can achieve sub-Pascal resolution of contact pressure detection (0.59 Pa), and sub-millimeter spatial resolution of tactile mapping (522 pts cm −2 ) over an extended range of depths (0-40 m), while the environmental influences can be spontaneously eliminated through a self-compensation process. The aquatic skin is applied toward several representative underwater scenes, including real-time monitoring of vital/environmental signals, tactile recognition of creatures, and biomechanical analysis of fish swimming.

show abstract

Blink-sensing glasses: A flexible iontronic sensing wearable for continuous blink monitoring

Cited by 13 publications

References 44 publications

Wearable Multi-Functional Sensing Technology for Healthcare Smart Detection

Wearable Multi-Functional Sensing Technology for Healthcare Smart Detection

Big data in corneal diseases and cataract: Current applications and future directions

Aquatic Skin Enabled by Multi‐Modality Iontronic Sensing

Contact Info

Product

Resources

About