TY - JOUR
T1 - 5G-Based user-centric sensing at C-band
AU - Yang, Xiaodong
AU - Fan, Dou
AU - Ren, Aifeng
AU - Zhao, Nan
AU - Alam, Muhammad
N1 - Funding Information:
Manuscript received December 1, 2018; accepted January 2, 2019. Date of publication January 9, 2019; date of current version May 2, 2019. This work was supported in part by the National Natural Science Foundation of China under Grant 61671349 and Grant 61301175, in part by the China Postdoctoral Science Foundation Funded Project under Grant 2018T111023, in part by the International Scientific and Technological Cooperation and Exchange Projects in Shaanxi Province under Grant 2017KW-005, in part by the Fundamental Research Funds for the Central Universities under Grant JB180205. Paper no. TII-18-3245. (Corresponding author: Xiaodong Yang.) X. Yang, D. Fan, A. Ren, and N. Zhao are with the School of Electronic Engineering, Xidian University, Xi’an 710071, China (e-mail:, xdyang@xidian.edu.cn; 1156807520@qq.com; afren@mail.xidian.edu. cn; 1215443379@qq.com).
Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - Tactile Internet can be seen as the next wave of innovation, which has the characteristics of low latency, high reliability, availability, and security. Tactile Internet promises its application in various fields ranging from industry automation and transport systems to healthcare, education, and gaming. Therefore, in this paper, we present the application of tactile Internet in healthcare by considering the diabetic ketoacidosis (DKA) as a use case, which is a potentially life-threatening complication of diabetes mellitus. Severe DKA causes Kussmaul breathing, which is a life-threatening condition that usually requires hospitalization. However, to date, no real-time monitoring system exists for DKA. In this paper, we propose a nonintrusive breathing monitoring system using the C-Band sensing technique. The system exploits a microwave sensing platform to capture breathing-induced chest movements in diabetic patients. A peak detection algorithm is used to acquire the respiratory rate and extent, identified as normal breathing or Kussmaul breathing. The real-time respiratory rate and extent could be used to diagnose DKA in diabetic patients. The accuracy for all the subjects are 99.76%, 98.69%, 97.82%, 99.06%, and 98.42%, respectively; therefore, the reliability of the system is demonstrated.
AB - Tactile Internet can be seen as the next wave of innovation, which has the characteristics of low latency, high reliability, availability, and security. Tactile Internet promises its application in various fields ranging from industry automation and transport systems to healthcare, education, and gaming. Therefore, in this paper, we present the application of tactile Internet in healthcare by considering the diabetic ketoacidosis (DKA) as a use case, which is a potentially life-threatening complication of diabetes mellitus. Severe DKA causes Kussmaul breathing, which is a life-threatening condition that usually requires hospitalization. However, to date, no real-time monitoring system exists for DKA. In this paper, we propose a nonintrusive breathing monitoring system using the C-Band sensing technique. The system exploits a microwave sensing platform to capture breathing-induced chest movements in diabetic patients. A peak detection algorithm is used to acquire the respiratory rate and extent, identified as normal breathing or Kussmaul breathing. The real-time respiratory rate and extent could be used to diagnose DKA in diabetic patients. The accuracy for all the subjects are 99.76%, 98.69%, 97.82%, 99.06%, and 98.42%, respectively; therefore, the reliability of the system is demonstrated.
KW - C-Band
KW - Kussmaul breathing
KW - diabetic ketoacidosis (DKA)
KW - peak detection algorithm
KW - tactile Internet
UR - http://www.scopus.com/inward/record.url?scp=85065409326&partnerID=8YFLogxK
U2 - 10.1109/TII.2019.2891738
DO - 10.1109/TII.2019.2891738
M3 - Article
AN - SCOPUS:85065409326
SN - 1551-3203
VL - 15
SP - 3040
EP - 3047
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 5
M1 - 8606140
ER -