Academician Zhang Yuanting: Five major trends in wearable devices in the medical field
On November 12-13, the “OFweek2018 (3rd) China High-Tech Industry Conference†hosted by OFweek China Hi-Tech Industry Portal and the High-Tech Association was successfully held in Shenzhen. On the 13th "OFweek2018 (3rd) China Medical Technology Conference", Zhang Yuanting, a member of the International Academy of Medical and Biological Engineering and a lecturer in biomedical engineering at the City University of Hong Kong, brought the theme "From Smart Wearable Technology to Human-Machine Integration System". The speech, based on the smart wearable device, further explored the human-machine fusion system (CYBORG bio-human) technology, leading us into a new world of artificial intelligence and human intelligence.
Academician of the International Academy of Medical and Biological Engineering, Professor Zhang Yuanting, Professor of Biomedical Engineering, City University of Hong Kong
Blood pressure monitoring needs pose a huge challenge to traditional blood pressure measurement technology
Hypertension is the leading risk factor for stroke and a major risk factor for cardiovascular disease. The major cardiovascular and cerebrovascular diseases are the first killers of human beings. Accurate measurement of blood pressure is essential for the diagnosis of cardiovascular and cerebrovascular diseases, the assessment of risk, the prediction of acute cardiac events, the tracking of treatment effects, the prevention and control of diseases, and the guidance of patient management. There is increasing evidence that home blood pressure measurements, especially 24-hour ambulatory blood pressure monitoring, can better predict disease risk and monitor treatment outcomes compared to hospital-measured blood pressure. There is also increasing evidence that elevated nighttime blood pressure is associated with an increased risk of cardiovascular and cerebrovascular disease. The need for these nighttime blood pressure monitoring poses a major challenge to traditional blood pressure measurement techniques based on cuff filling and deflation.
Wearable technology needs further research and innovation
Advances in wearable mobile medical , cardiovascular physiology modeling and non-disturbing sensing technologies in recent years, especially the development of flexible, stretchable, printable sensing technologies, making high-precision and convenient bumpless strapless Continuous blood pressure measurement has become possible. Academician Zhang Yuanting said: At present, wearable health care technology is gradually miniaturized, and wearable devices are mainly concerned with continuous blood pressure monitoring. Blood pressure parameters play an important role in disease prediction, early warning and prevention. The sensing technology of wearable devices is still to be further researched and innovated.
In 2017, wearable device pioneers such as Fitbit and Jawbone were laid off, and manufacturers such as Motorola and Pebble stopped marketing. Previously, a report by Gartner showed that the depreciation rate of smart watches was greater than the popularity rate, while the limited functionality, fragile equipment, and high selling prices caused the wearable device market to stagnate. Zhang Yuanting believes that the bottleneck of wearable technology is mainly manifested in three aspects: low technical level, insufficient functionality and poor user experience. At present, wearable devices have limited functions, and they are only used in heart rate measurement, counting steps, etc. If the new smart sensors can be added and the functions needed for health and life are realized, the wearable devices will be more widely used.
Wearable technology needs to be combined with artificial intelligence technology
At present, integrating multi-dimensional information such as genes, images, and wearable devices for disease prediction, the basic theory is still not perfect, and it is necessary to integrate these data, that is, the combination of artificial intelligence technologies such as deep learning. At present, artificial intelligence has two main applications in the field of health informatics: classification and prediction. In this regard, Zhang Yuanting appealed that wearable technology in the industrial, energy, health and medical industry, research and research market demand, breakthrough wearable is the public understanding of the smart watch bracelet.
Wearable technology is a means to enhance human ability. For example, disabled people can enhance their walking ability with the help of a walking robot, and they can take care of themselves. Wearable data acquisition devices enhance human perception and judge surrounding threats in a noisy environment at night, reducing risk. Academician Zhang Yuanting put forward the theory of "health health care", which can promote the development of new health and large industries. He also said that wearable technology will have an irreplaceable role in future medical health, Internet of Things, and smart cities. It is necessary for industry professionals to jointly promote the development of core technologies and timely transform new products and new industries.
Academician Zhang Yuanting pointed out that the development trend of wearable devices - "Super-MINDS" five-fifth system: miniaturization, intelligence, networking, digitization and standardization, in the confidentiality, non-interference, accuracy, energy saving The room for improvement in terms of sex and robustness is promising.
In the future, wearable products will develop into five major trends: miniaturization, intelligence, networking, digitization and standardization. The value of wearable sensing technology is as important and inseparable as artificial intelligence. It will have an irreplaceable role in future medical health, Internet of Things, smart city, etc. It is necessary for everyone to jointly promote the development of core technologies and timely transform new products and industries. And new services.
For more details, please pay attention to the follow-up feature report of OFweek Artificial Intelligence Network.
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