Invited Speakers


Invited Speakers 1

Prof. Nguyen Van Hieu
VNU-Ho Chi Minh University of Science, Vietnam

Title of Invited Talk
The equipment for measuring ozone concentration using the ultraviolet sensor

Abstract of Invited Talk
Ozone (O3) is a polymorphic form of oxygen, its molecule contains 3 oxygen atoms and has very strong oxidizing properties. Ozone absorbs ultraviolet rays in sunlight, helping to reduce UV exposure. Due to its strong oxidizing properties, ozone is currently known as one of the most efficient and fastest microbicides. Thus, it is commonly used in various fields such as bacteria and viruses removal for agriculture or seafood products, cleaning medical instruments, and air purification technology. In this work, UVLED sensor is used to measure the intensity of UV rays in a closed chamber for two cases: in near-vacuum condition, and with the existence of ozone. Applying the theory of Lambert Beer's law, the ozone concentration can be calculated by embedding the equation into a microcontroller AVR. The measurement data will be analyzed by monitoring the graphs shows on a PC program interface. The recorded average value of ozone concentration by this equipment depends on the various input speed of air: 0.10g/m3 for 2.6 l/minute; 0.20g/m3 for 1.0 l/minute and, 0.25g/m3 for 0.6 l/minute, which indicated that the lower the air input the more accurate the value of measuring ozone concentration. Data will be stored, transfered and analyzed serving for our other experimental works in the controlling quality of environments. The developed ozone concentration measuring system with its controlling computer program has a compatible interface, capable of handling big data with IoTs intergrated, will be useful for multi-purpose measuring systems at urban air quality photolithography stations, UV exposure control and ozone safety in production in the near future.
Invited Speakers 2

Prof. Asnida Abdul Wahab
Universiti Teknologi Malaysia, Malaysia

Title of Invited Talk
Thermography as a promising non-invasive imaging technique for biomedical applications

Abstract of Invited Talk
Thermography is a non-invasive, non-ionizing modality for monitoring skin surface temperature distribution, providing valuable physiological information about peripheral blood flow, vasoconstriction/vasodilation, inflammation, transpiration or other processes that can contribute to changes in skin temperature. This imaging technique has been applied in the biomedical field and has demonstrated its utility as an adjunct tool in a variety of applications, including breast cancer detection, breathing monitoring, vascular disease detection, and muscle fatigue analysis.

In our research, we have utilized this technique to explore thermography's capability for detecting breast tumours. Based on various case studies, both preclinical experiments and computational approaches have been performed to better understand the behaviour of tumorous tissue and the accuracy of detection in multi breast composition. Additionally, we have also utilized this technique to provide a non-obstructive method of tracking breathing patterns by measuring the inspiration and expiration times for normal, prolonged, and rapid breathing using thermal images. Our findings revealed that the readings obtained from thermography and the traditional approach used in the clinical setting were not significantly different. We have further extended our research towards understanding athletes' performance by analyzing muscle fatigue using thermal images captured during exercise. Since early detection of fatigue could help in reducing the risk of muscle injury among athletes, thermography has shown to provide comparable result to conventional sEMG method.

Despite the fact that thermography has been shown to be a promising imaging technique for detecting pathological anomalies, further research is necessary to ensure that high-accuracy results can be achieved in order to improve current medical care and service. Leveraging on the advancement of intelligent analysis techniques such as machine and deep learning would be the future of thermography in the biomedical field.
Invited Speakers 3

Prof. Winson Chiu Chun Lee
University of Wollongong, Australia

Title of Invited Talk
Wearable Technologies for Improving Human Movements technique for biomedical applications

Abstract of Invited Talk
Physical inactivity is the fourth leading risk factor for early mortality (Kohl et al., 2012). Low levels of physical activity are associated with a higher risk of cognitive decline (Blondell et al., 2014), cardiovascular conditions (Lee et al., 2012) and other non-communicable diseases (Lee et al., 2012). For this reason the WHO recommends adults, including those who are over 65 years, should perform at least 150 minutes of moderate-intensity physical activity every week (WHO, 2010). Meanwhile, older adults who are inactive are recommended to move from the category of ‘no activity’ to ‘some activity’. Walking is one of the easiest form of physical activity. A systematic review specifically indicates that walking reduces the risk of all-cause mortality, adjusted for other physical activities (Kelly et al., 2014).

Despite the importance of being physically active approximately three out of ten adults—about 1.5 billion people worldwide—are physically inactive, with much higher rates of inactivity among older adults (Hallal et al., 2012). The lack of walking among older adults could be explained by decline in their walking ability (Sergi et al., 2011), as aging-related loss of skeletal muscle mass reduces walking performance (Abellan van Kan, 2009). In addition, lower shock absorption ability of the plantar soft tissues among older adults (Hsu et al., 2005) can lead to higher chance of pain and discomfort upon walking long distances. Muscle weakening and fatigue can in turn reduce walking stability among older adults (Elhadi et al., 2017, Helbostad et al., 2010), which predisposes them to a heightened risk of falls (Sherrington et al., 2011).

To motivate people to walk more steps, regularly scheduled health talks, physical activity programs, phone calls reminding elderly people to keep up walking together with the use of pedometers are used. To reduce risk of fall especially among older adults, home adaptations (e.g. installing handrails), physical exercises such as Tai-chi are commonly used. However, all these approaches require a considerable amount of human resources. Increasing the level of physical activity and improving walking stability are what many previous studies have attempted to achieve but are still very challenging. An innovative approach to motivate older adults to walk more, that considers and addresses their reduced walking ability and stability, is required.

Dr Lee has led his team in developing mobile technologies to improve physical movements of various populations. His team has incorporated a biofeedback device into an instrumented prosthesis, which allows lower-limb amputees to sense different terrains and gain feedback relative to postural changes. Meanwhile, his team found that when the biofeedback device was embedded in the shoe sole, which gave vibration feedback to healthy older non-amputee participants regarding the direction and magnitude of body sway, the standing stability of the participants improved significantly. Similar balance improvements were noted in young adults who wore the instrumented shoe when they were standing on a floor that unexpectedly moved. Dr Lee’s team also developed a device which provided biofeedback regarding the weight-bearing characteristics of the feet of people with stroke, whereby the device was shown to significantly improve the walking patterns and foot loading characteristics of these individuals. He has comprehensively reviewed and found key design principles for biofeedback devices that give positive effects on static and dynamic balance among older adults. More recently, his team has successfully developed innovative prototypes of smart shoes, which have detected changes in symmetry in plantar forces, stance time and step length between two legs during prolonged walking among healthy older adults. In addition to developing innovative hardware for gait improvement, Dr Lee’s team also documented consistent changes in specific gait parameters displayed by older adults while they walked for up to one hour and who reported increased levels of perceived exertion. These changes suggest that specific gait parameters are likely to play an important role in enabling healthy older adults to walk safely for prolonged periods.

Dr Lee is currently the Academic Program Director for Biomedical Engineering at University of Wollongong. He also serves as the Associate Editor for the journal Physical and Engineering Sciences in Medicine as well as Topic and Guest Editor for the journal Sensors.