A Lightweight and Affordable Sleep Quality Monitoring and Visualization System with a GSR Sensor for Users in Rural Areas to Facilitate Tele-Health

Having quality sleeping is very critical for individuals to maintain a healthy life. Over the years, thanks to the big advances in wearable and sensing technologies, a wide variety of wearable devices had been pushed to the market. However, for rural users including those in China, these devices are still largely inaccessible. In this paper, we describe the development of a lightweight and affordable real-time sleep monitoring system to serve such purpose. To significantly reduce its cost, a galvanic skin response sensor (GSR) was adopted. GSR sensor can be used to measure the conductivity of the skin and has been widely adopted in physiological assessment. In order to study the feasibility of our system, we performed two small pilot tests and obtained promising results.

[1]  Bradford D. Allen,et al.  Methodology for the Analysis of Emotion Experiences during Mathematical Problem Solving. , 1995 .

[2]  Nico Surantha,et al.  Internet of things for sleep quality monitoring system: A survey , 2016, 2016 11th International Conference on Knowledge, Information and Creativity Support Systems (KICSS).

[3]  K ASAHINA,et al.  PHENOMENOLOGICAL STUDY OF PARADOXICAL PHASE AND REVERSE PARADOXICAL PHASE OF SLEEP. , 1964, The Japanese journal of physiology.

[4]  R. Strecker,et al.  Recent Developments in Home Sleep-Monitoring Devices , 2012, ISRN neurology.

[5]  Ara Darzi,et al.  A lightweight sensing platform for monitoring sleep quality and posture: a simulated validation study , 2018, European Journal of Medical Research.

[6]  J. Funke,et al.  The role of emotions in complex problem solving , 2005 .

[7]  Albrecht Fortenbacher,et al.  Detecting Academic Emotions from Learners' Skin Conductance and Heart Rate: Data-Driven Aproach using Fuzzy Logic , 2018, DeLFI Workshops.

[8]  Ryan Spaulding,et al.  Experience with telehealth for sleep monitoring and sleep laboratory management , 2011, Journal of telemedicine and telecare.

[9]  Shusaku Nomura,et al.  Evaluation of Student's Physiological Response Towards E-Learning Courses Material by Using GSR Sensor , 2010, 2010 IEEE/ACIS 9th International Conference on Computer and Information Science.

[10]  Fang Chen,et al.  Galvanic skin response (GSR) as an index of cognitive load , 2007, CHI Extended Abstracts.

[11]  J. Parish Sleep-related problems in common medical conditions. , 2009, Chest.

[12]  Rosalind W. Picard,et al.  Quantitative analysis of wrist electrodermal activity during sleep. , 2014, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[13]  Y Shiihara,et al.  Continuous recordings of skin conductance change during sleep , 2000, Psychiatry and clinical neurosciences.

[14]  N R Burch,et al.  Nocturnal EEG-GSR profiles: the influence of presleep states. , 2008, Psychophysiology.

[15]  Tracy L. Westeyn,et al.  ActionGSR: A Combination Galvanic Skin Response-Accelerometer for Physiological Measurements in Active Environments , 2006, 2006 10th IEEE International Symposium on Wearable Computers.

[16]  Guoliang Xing,et al.  iSleep: unobtrusive sleep quality monitoring using smartphones , 2013, SenSys '13.

[17]  J. Gutrecht,et al.  Sympathetic skin response. , 1994, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[18]  S. Ancoli-Israel,et al.  Sleep disturbances and chronic disease in older adults: results of the 2003 National Sleep Foundation Sleep in America Survey. , 2004, Journal of psychosomatic research.

[19]  Hippokratis Apostolidis,et al.  USING SENSORS TO DETECT STUDENT’S EMOTION IN ADAPTIVE LEARNING ENVIRONMENT , 2018 .