TY - GEN
T1 - Internet of Things (IoT) for Healthcare Application
T2 - 2020 International Conference on Computing, Networks and Internet of Things, CNIOT 2020
AU - Hu, Xinying
AU - Abdulghani, Amir M.
AU - Imran, Muhammad
AU - Abbasi, Qammer H.
N1 - Funding Information:
Authors would like to acknowledge Sultan Qaboos University (Government of the Sultanate of Oman) for supporting Dr. Amir M. Abdulghani, and would like to acknowledge Glasgow College, University of Electronic Science and Technology of China for supporting this paper.
Publisher Copyright:
© 2020 ACM.
PY - 2020/4/24
Y1 - 2020/4/24
N2 - People with health conditions such as dementia often face problems sleeping, experience wake-rest routine changes and suffer from emotional disturbances amid sleep disorders. Caregivers, such as family members, of dementia sufferers face great challenge in taking care of such patients at night as it takes a toll on their own sleep quality resulting in sleep deprivation and other issues. The goal of this work, presented in this paper, is to develop a wearable body position monitor that can detect user's body position and keep online records during sleep; provide light when data shows the user is not asleep, aid user to fall asleep with audio assist feature, and if necessary, activate emergency alert call to caregivers when the patient remains seated or stands for longer durations (e.g. more than 20 minutes) at night. Main system components of the developed prototype include MySignals HW Complete Kit (e-health medical development platform), Arduino Uno microcontroller, LEDs, speakers, micro SD card, micro SD card reader, SPI interface and esp8266 module. Real-time transmission, data analysis and visualization and remote data storage has been realized. The plan for the next phase of this work will include application of sleep pattern recognition and machine learning techniques on large datasets and real biometric measurements.
AB - People with health conditions such as dementia often face problems sleeping, experience wake-rest routine changes and suffer from emotional disturbances amid sleep disorders. Caregivers, such as family members, of dementia sufferers face great challenge in taking care of such patients at night as it takes a toll on their own sleep quality resulting in sleep deprivation and other issues. The goal of this work, presented in this paper, is to develop a wearable body position monitor that can detect user's body position and keep online records during sleep; provide light when data shows the user is not asleep, aid user to fall asleep with audio assist feature, and if necessary, activate emergency alert call to caregivers when the patient remains seated or stands for longer durations (e.g. more than 20 minutes) at night. Main system components of the developed prototype include MySignals HW Complete Kit (e-health medical development platform), Arduino Uno microcontroller, LEDs, speakers, micro SD card, micro SD card reader, SPI interface and esp8266 module. Real-time transmission, data analysis and visualization and remote data storage has been realized. The plan for the next phase of this work will include application of sleep pattern recognition and machine learning techniques on large datasets and real biometric measurements.
KW - Arduino
KW - e-health
KW - Internet of Things for Healthcare
KW - Sleep disorder
KW - Wearable
KW - Wireless network
UR - http://www.scopus.com/inward/record.url?scp=85086272996&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85086272996&partnerID=8YFLogxK
U2 - 10.1145/3398329.3398340
DO - 10.1145/3398329.3398340
M3 - Conference contribution
AN - SCOPUS:85086272996
T3 - PervasiveHealth: Pervasive Computing Technologies for Healthcare
SP - 76
EP - 81
BT - Proceedings of the 2020 International Conference on Computing, Networks and Internet of Things, CNIOT 2020
PB - Institute for Color Science and Technology (ICST)
Y2 - 24 April 2020 through 26 April 2020
ER -