Research Projects

Signal and data processing for vital sign data

The outbreak of infectious diseases is threatening global health. Especially, in the South-East Asia region have been at serious risk. At mass gathering places, such as, airport quarantine facilities, public health centers, and hospital out patients units, rapid and highly reliable screening methods of infection are urgently needed during the epidemic season for preventing the spread of infection.

To meet this need, the University of Electronics and Communications (UEC) of Japan and partner institutions of UEC, National Hospital of Tropical Diseases, Hanoi (NHTD), and Tokyo Metropolitan University (TMU), have been developing multiple vital-signs based infection screening systems. This screening system monitors not only body temperature but also heart and respiration rates. However, accuracy of the data processing is not sufficient for the screening of the diseases for short time. This project is carried out in cooperation between the VNU University of Engineering and Technology (VNU-UET), Vietnam National University, Hanoi (VNU) and UEC.

The goal of this project is to develop signal and data processing method of the data from the multiple vital-sign-based infections screening system to improve the screening rate. To develop hazard map generating system, which predicts the area of infection diseases is the next target. The data will be provided by UEC to VNU-UET. The data processing methods include not only analog and digital signal processing methods but also the data processing by AI (Artificial Intelligence). Moreover, VNU-UET and UEC will collect the vital-sign data with the infection screening system and the ground-truth devices for Healthy subjects at VNU-UET, Vietnam.

The heartbeat and respiratory signal acquired using Dopler radar

Selected publications

Yuki Iwata, Koichiro Ishibashi, Guanghao Sun, Manh Ha Luu, Thanh Han Trong, Nguyen Linh-Trung, and Tuan Do Trong. Contactless heartbeat detection from cw-doppler radar using windowed-singular spectrum analysis. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, Quebec, Canada, July 2020.

Nguyen Dinh Chinh, Luu Manh Ha, Guanghao Sun, Le Quoc Anh, Pham Viet Huong, Tran Anh Vu, Tran Trong Hieu, Tran Duc Tan, Nguyen Vu Trung, Koichiro Ishibashi, and Nguyen Linh Trung. Short time cardio-vascular pulses estimation for Dengue fever screening via continuous-wave Doppler radar using empirical mode decomposition and continuous wavelet transform. Biomedical Signal Processing and Control, 65:102361, March 2021.

Other information

PI: Prof. Koichiro Ishibashi, Assoc.Prof. Guanghao Sun
Co-PI: Dr. Luu Manh Ha, Dr. Dinh Tran Hiep

SAME CATEGORY

EEG signal processing from the computer vision perspective

In this work, we study the processing of EEG signals in the image domain, i.e., visualizing the signal in the binary image and applying computer vision techniques for signal smoothing and classification. Some research questions are being investigated: 1. How well can we smooth the signal in the image domain? Here, we plot the interested […]

Vision-based crack detection with crack propagation modeling

In this work, the propagation of cracks on some materials, such as concrete, is analyzed, the best-fit model of which is employed for vision-based crack detection. Some research questions are being investigated: 1. What is the correlation between simulated crack propagation and real-world crack? Here, we measure the fitting errors between best-fit regression models of […]

Machine learning based beacon placement optimization for indoor robots localization

Indoor localization systems usually consist of transceiver with fixed positions, which are called beacons. These beacons act as landmarks for localizing objects that need to be positioned. One can easily see that the positions of beacons have a great impact on the performance of the localization system. The problem of beacon placement optimization is to […]