Internet of Medical Things (IMoT)

ASEAN countries face ongoing concerns about infectious diseases due to their tropical climate. ASEAN countries have a humid climate, and epidemics, especially Dengue fever, cause serious health problems for people. UNICEF notes a rise in Dengue fever infections across extensive parts of ASEAN due to climate changes. Vietnam’s Ministry of Health recently reported an increase in Dengue fever cases. As of mid-2025, Vietnam has reported 28,787 dengue cases with five deaths, while Singapore recorded 13,655 dengue fever cases in 2024, representing an increase from the previous year, representing a concerning public health challenge across the ASEAN region. Cambodia reported 7,058 dengue fever cases in the first half of 2024, marking a 10% year-on-year increase, while the first six months of 2025 saw this trend worsen with 8,803 total dengue cases, an increase of nearly 30% compared to the same period in 2024. This highlights the urgent need for innovative monitoring and prevention systems across the region. In recent years infections have been confirmed in a wide range of areas, including Japan, amid climate change. Strict monitoring of vital signs is crucial for Dengue patients. This requires joint efforts from different countries in the region.

This project aims to develop an Internet-of-Medical-Things (IoMT) system for contactless monitoring of Dengue fever via vital sign data acquisition and analysis based on signal processing and deep learning techniques.

Selected Publications

Vuong Tri Tiep, Hoang Thi Yen, Nguyen Trong Tuyen, Masaki Takeo, Nguyen Linh Trung, and Guanghao Sun. Non-contact beat-to-beat pulse interval estimation from radial artery micro-movements using mmWave radar. REV Journal on Electronics and Communications, 2026. [early access].

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.

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.