Literature DB >> 33430220

Soft Wireless Bioelectronics and Differential Electrodermal Activity for Home Sleep Monitoring.

Hojoong Kim1, Shinjae Kwon1, Young-Tae Kwon2, Woon-Hong Yeo1,3,4.   

Abstract

Sleep is an essential element to human life, restoring the brain and body from accumulated fatigue from daily activities. Quantitative monitoring of daily sleep quality can provide critical feedback to evaluate human health and life patterns. However, the existing sleep assessment system using polysomnography is not available for a home sleep evaluation, while it requires multiple sensors, tabletop electronics, and sleep specialists. More importantly, the mandatory sleep in a designated lab facility disrupts a subject's regular sleep pattern, which does not capture one's everyday sleep behaviors. Recent studies report that galvanic skin response (GSR) measured on the skin can be one indicator to evaluate the sleep quality daily at home. However, the available GSR detection devices require rigid sensors wrapped on fingers along with separate electronic components for data acquisition, which can interrupt the normal sleep conditions. Here, we report a new class of materials, sensors, electronics, and packaging technologies to develop a wireless, soft electronic system that can measure GSR on the wrist. The single device platform that avoids wires, rigid sensors, and straps offers the maximum comfort to wear on the skin and minimize disruption of a subject's sleep. A nanomaterial GSR sensor, printed on a soft elastomeric membrane, can have intimate contact with the skin to reduce motion artifact during sleep. A multi-layered flexible circuit mounted on top of the sensor provides a wireless, continuous, real-time recording of GSR to classify sleep stages, validated by the direct comparison with the standard method that measures other physiological signals. Collectively, the soft bioelectronic system shows great potential to be working as a portable, at-home sensor system for assessing sleep quality before a hospital visit.

Entities:  

Keywords:  galvanic skin response; graphene electrode; sleep monitoring; soft wireless sensor system

Mesh:

Year:  2021        PMID: 33430220      PMCID: PMC7825679          DOI: 10.3390/s21020354

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  30 in total

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Authors:  Rei Kobayashi; Yasuo Koike; Masaaki Hirayama; Hiroki Ito; Gen Sobue
Journal:  Auton Neurosci       Date:  2003-01-31       Impact factor: 3.145

2.  AASM Scoring Manual Updates for 2017 (Version 2.4).

Authors:  Richard B Berry; Rita Brooks; Charlene Gamaldo; Susan M Harding; Robin M Lloyd; Stuart F Quan; Matthew T Troester; Bradley V Vaughn
Journal:  J Clin Sleep Med       Date:  2017-05-15       Impact factor: 4.062

Review 3.  Sleep Neurophysiological Dynamics Through the Lens of Multitaper Spectral Analysis.

Authors:  Michael J Prerau; Ritchie E Brown; Matt T Bianchi; Jeffrey M Ellenbogen; Patrick L Purdon
Journal:  Physiology (Bethesda)       Date:  2017-01

4.  Sleep Period Time Estimation Based on Electrodermal Activity.

Authors:  Su Hwan Hwang; Sangwon Seo; Hee Nam Yoon; Da Woon Jung; Hyun Jae Baek; Jaegeol Cho; Jae Won Choi; Yu Jin Lee; Do-Un Jeong; Kwang Suk Park
Journal:  IEEE J Biomed Health Inform       Date:  2015-10-13       Impact factor: 5.772

Review 5.  Practice parameters for the indications for polysomnography and related procedures: an update for 2005.

Authors:  Clete A Kushida; Michael R Littner; Timothy Morgenthaler; Cathy A Alessi; Dennis Bailey; Jack Coleman; Leah Friedman; Max Hirshkowitz; Sheldon Kapen; Milton Kramer; Teofilo Lee-Chiong; Daniel L Loube; Judith Owens; Jeffrey P Pancer; Merrill Wise
Journal:  Sleep       Date:  2005-04       Impact factor: 5.849

6.  Skin-conformal, soft material-enabled bioelectronic system with minimized motion artifacts for reliable health and performance monitoring of athletes.

Authors:  Shinjae Kwon; Young-Tae Kwon; Yun-Soung Kim; Hyo-Ryoung Lim; Musa Mahmood; Woon-Hong Yeo
Journal:  Biosens Bioelectron       Date:  2019-12-23       Impact factor: 10.618

7.  Multilevel analysis exploring the links between stress, depression, and sleep problems among two-year college students.

Authors:  Deshira D Wallace; Marcella H Boynton; Leslie A Lytle
Journal:  J Am Coll Health       Date:  2016-12-12

8.  Electrodermal activity patterns in sleep stages and their utility for sleep versus wake classification.

Authors:  Anne Herlan; Jörg Ottenbacher; Johannes Schneider; Dieter Riemann; Bernd Feige
Journal:  J Sleep Res       Date:  2018-05-02       Impact factor: 3.981

9.  Toward Sensor-Based Sleep Monitoring with Electrodermal Activity Measures.

Authors:  William Romine; Tanvi Banerjee; Garrett Goodman
Journal:  Sensors (Basel)       Date:  2019-03-22       Impact factor: 3.576

10.  Visualization of Whole-Night Sleep EEG From 2-Channel Mobile Recording Device Reveals Distinct Deep Sleep Stages with Differential Electrodermal Activity.

Authors:  Julie A Onton; Dae Y Kang; Todd P Coleman
Journal:  Front Hum Neurosci       Date:  2016-11-29       Impact factor: 3.169

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  3 in total

Review 1.  Recent Advances in Materials for Wearable Thermoelectric Generators and Biosensing Devices.

Authors:  Maria Sattar; Woon-Hong Yeo
Journal:  Materials (Basel)       Date:  2022-06-18       Impact factor: 3.748

Review 2.  The Concept of Advanced Multi-Sensor Monitoring of Human Stress.

Authors:  Erik Vavrinsky; Viera Stopjakova; Martin Kopani; Helena Kosnacova
Journal:  Sensors (Basel)       Date:  2021-05-17       Impact factor: 3.576

3.  Automatic and Accurate Sleep Stage Classification via a Convolutional Deep Neural Network and Nanomembrane Electrodes.

Authors:  Kangkyu Kwon; Shinjae Kwon; Woon-Hong Yeo
Journal:  Biosensors (Basel)       Date:  2022-03-02
  3 in total

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