Great news
Recently, Sunyue, a lecturer at the school of Applied Sciences at the Macau Polytechnic University, led the research team (doctoral students kevinyang and chenzhengxuan) to make breakthroughs in the field of remote physiological signal extraction and physiological monitoring technology. Three high-level academic papers were published in the internationally renowned journals IEEE Journal of biomedical and health informatics (j-bhi) (impact factor 7.1) and IEEE Transactions on consumer electronics (TCE) (impact factor 4.3), respectively, marking that the team's research achievements in this field have been highly recognized by the international academic community, injecting strong impetus into the development of remote biological monitoring technology.
Overcome the core problems of rPPG and unlock the possibility of multi scene monitoring
The research of the team focuses on the RPPG (remote photoplethysmography) technology. As a key technology in the field of computer video imaging and medical physiological monitoring, RPPG technology can realize remote contactless monitoring of physiological parameters such as heart rate and respiration by capturing small changes reflected on the skin surface through ordinary cameras, without wearing any sensors, which greatly improves the convenience and comfort of physiological monitoring, and has irreplaceable application potential in the fields of medical health, public safety, smart home and so on.
However, the popularization and application of rPPG technology has long faced three core challenges: noise interference in complex lighting environment, monitoring failure caused by human skin shielding, and the adaptability of all-weather non-invasive monitoring in different age groups (especially in special groups such as newborns).
The three papers published by the team are innovative solutions to these "neck sticking" problems:
Three core breakthroughs
Solve the lighting problem
Published in j-bhi's "hrmamba: fusing luminance information for remote physical measurement in varied lighting conditions", the team innovatively proposed a technical framework for fusing luminance information, which effectively overcame the interference of different lighting conditions (such as strong light, weak light and dynamic light shadow) on physiological signal extraction, greatly improved the prediction accuracy of remote heart rate and other indicators in complex lighting scenes, and solved the limitations of traditional RPPG technology "sky monitoring".
Break through the occlusion limit
Also published in j-bhi's "brpdnet: a bioregion prompt disintegration network for physical monitoring", a distillable physiological region prompt module (BRP) is designed, which can accurately locate the effective physiological signal region and realize reliable physiological monitoring even if the monitoring object is blocked by multiple parts such as face and wrist. This breakthrough makes it possible for the application of RPPG technology in daily activities (such as wearing masks, hand movement blocking) or special medical scenes (such as patients' bodies covering medical equipment).
Suitable for special groups
The research on "self adaptive illumination enhancement for neonatal remote physical measurement in NICUs" published in TCE focuses on the scene of neonatal intensive care unit (NICUs), proposes adaptive light enhancement technology, specifically aiming at the characteristics of delicate newborn skin, sensitive to light and complex monitoring environment. On the premise of ensuring the safety of newborns, it realizes high-precision remote physiological measurement, and provides a safer and more convenient monitoring scheme for neonatal intensive care.
Future work
The research results of Sun Yue's team from the school of Applied Sciences, Macao Polytechnic University, are another important breakthrough in the intersection of artificial intelligence and biomedical engineering. They not only enhance the academic influence of the University in relevant international fields, but also lay a solid foundation for the industrial application of remote physiological monitoring technology. In the future, the team will continue to work in this field, promote more innovative technologies from laboratories to practical applications, and contribute Macao's wisdom and strength to improving the level of human health monitoring!