A flexible proximity sensor formed by duplex screen/screen-offset printing and its application to non-contact detection of human breathing

Nomura, Kohji; Kaji, R.; Iwata, Shiro; Otao, Shinobu; Imawaka, Naoto; Yoshino, Katsumi; Mitsui, Ryosuke; Sato, Junya; Takahashi, Seiya; Nakajima, Satoshi; Ushijima, Hirobumi

doi:10.1038/srep19947

Cited by 34 publications

(22 citation statements)

References 34 publications

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“…Previous studies highlight non-inferiority of at-home PSG in the management of OSA patients regarding both feasibility and repeatability, leading to shorter waiting times and substantial cost savings 31,32 . Nevertheless, simplified alternatives to complete PSG are needed to further decrease complexity and intrusiveness 33 . In this way, recent studies aimed at assessing abbreviated protocols at home against domiciliary PSG focus on single-channel approaches, mainly oximetry 25,34,35 In addition, several studies focused on the validation of single-channel airflow monitoring against in-laboratory PSG [36][37][38][39][40] .…”

Section: Discussionmentioning

confidence: 99%

A machine learning-based test for adult sleep apnoea screening at home using oximetry and airflow

Álvarez

Cerezo-Hernández

Crespo

et al. 2020

Sci Rep

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The most appropriate physiological signals to develop simplified as well as accurate screening tests for obstructive sleep apnoea (OSA) remain unknown. This study aimed at assessing whether joint analysis of at-home oximetry and airflow recordings by means of machine-learning algorithms leads to a significant diagnostic performance increase compared to single-channel approaches. Consecutive patients showing moderate-to-high clinical suspicion of OSA were involved. The apnoea-hypopnoea index (AHI) from unsupervised polysomnography was the gold standard. Oximetry and airflow from at-home polysomnography were parameterised by means of 38 time, frequency, and non-linear variables. Complementarity between both signals was exhaustively inspected via automated feature selection. Regression support vector machines were used to estimate the AHI from single-channel and dual-channel approaches. A total of 239 patients successfully completed at-home polysomnography. The optimum joint model reached 0.93 (95%CI 0.90-0.95) intra-class correlation coefficient between estimated and actual AHI. Overall performance of the dual-channel approach (kappa: 0.71; 4-class accuracy: 81.3%) significantly outperformed individual oximetry (kappa: 0.61; 4-class accuracy: 75.0%) and airflow (kappa: 0.42; 4-class accuracy: 61.5%). According to our findings, oximetry alone was able to reach notably high accuracy, particularly to confirm severe cases of the disease. Nevertheless, oximetry and airflow showed high complementarity leading to a remarkable performance increase compared to single-channel approaches. Consequently, their joint analysis via machine learning enables accurate abbreviated screening of OSA at home.

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Section: Discussionmentioning

confidence: 99%

A machine learning-based test for adult sleep apnoea screening at home using oximetry and airflow

Álvarez

Cerezo-Hernández

Crespo

et al. 2020

Sci Rep

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“…Screen printing can be used for wiring a connecting device to another device, coils, or devices that do not require high‐resolution such as sensing materials . Recently, screen‐offset printing has been developed to address the low resolution, faint prints, and non‐uniform thickness of printed patterns given by screen printing . Screen‐offset printing enables flat patterns of silver electrodes with line widths/spaces of 30/30 µm.…”

Section: High‐resolution Printing Technologiesmentioning

confidence: 99%

Recent Progress in the Development of Printed Thin‐Film Transistors and Circuits with High‐Resolution Printing Technology

2016

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Printed electronics enable the fabrication of large‐scale, low‐cost electronic devices and systems, and thus offer significant possibilities in terms of developing new electronics/optics applications in various fields. Almost all electronic applications require information processing using logic circuits. Hence, realizing the high‐speed operation of logic circuits is also important for printed devices. This report summarizes recent progress in the development of printed thin‐film transistors (TFTs) and integrated circuits in terms of materials, printing technologies, and applications. The first part of this report gives an overview of the development of functional inks such as semiconductors, electrodes, and dielectrics. The second part discusses high‐resolution printing technologies and strategies to enable high‐resolution patterning. The main focus of this report is on obtaining printed electrodes with high‐resolution patterning and the electrical performance of printed TFTs using such printed electrodes. In the final part, some applications of printed electronics are introduced to exemplify their potential.

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“…To overcome these problems, we applied a screen-offset printing method (7)(8)(9)(10)(11)(12)(13) that we previously developed to fabricate patterns on an adhesive material. Figure 1 shows a schematic image of the screen-offset printing method.…”

Section: Experimental Procedures 21 Fabrication Of Sensor Electrodes mentioning

confidence: 99%

Adhesive-bandage-type Blood-leakage Sensor Fabricated by Screen-offset Printing

Nomura¹,

Horii²,

Ushijima³

2019

Sensors and Materials

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We developed a new blood-leakage sensor for hemodialysis therapy. In this sensor, medical gauze is arranged on medical adhesive tape, which contains detection electrodes formed by screen-offset printing. This sensor can be used similarly to an adhesive bandage. We proved that the sensor can distinguish between blood and phosphate-buffered saline (substitute for sweat) on the basis of the dielectric relaxation property of blood. The limit of detection of the sensor is as low as 6 μL, and hence, its performance is considerably better than that of other sensors reported previously.

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A flexible proximity sensor formed by duplex screen/screen-offset printing and its application to non-contact detection of human breathing

Cited by 34 publications

References 34 publications

A machine learning-based test for adult sleep apnoea screening at home using oximetry and airflow

A machine learning-based test for adult sleep apnoea screening at home using oximetry and airflow

Recent Progress in the Development of Printed Thin‐Film Transistors and Circuits with High‐Resolution Printing Technology

Adhesive-bandage-type Blood-leakage Sensor Fabricated by Screen-offset Printing

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