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- 저자 : Toshiyo Tamura (검색결과 3 건)
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Current progress of photoplethysmography and SPO2 for health monitoring
Toshiyo Tamura 대한의용생체공학회 2019 Biomedical Engineering Letters (BMEL) Vol.9 No.1
A photoplethysmograph (PPG) is a simple medical device for monitoring blood fl ow and transportation of substances in theblood. It consists of a light source and a photodetector for measuring transmitted and refl ected light signals. Clinically, PPGsare used to monitor the pulse rate, oxygen saturation, blood pressure, and blood vessel stiff ness. Wearable unobtrusive PPGmonitors are commercially available. Here, we review the principle issues and clinical applications of PPG for monitoringoxygen saturation.
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Toshiyo Tamura,Yutaka Kimura 대한의용생체공학회 2015 Biomedical Engineering Letters (BMEL) Vol.5 No.1
The forthcoming very elderly society threatens to render thehealth insurance system of Japan dysfunctional. To solve thisissue, a new screening and interventional program specificallytargeting metabolic syndrome commenced in April 2008. This program targeted individuals in the age group 40-74years. The program sought to prevent the risk of developmentof lifestyle-related diseases. In this review, we analyze 5-yearstatistical data, discuss the efficiency of the screeningprogram, and offer a brief explanation of the applicability ofinformation communication technology (ICT). Interventionwas effective to prevent metabolic syndrome based onphysiological parameters. Using ICT, a database has beencreated to collect both health checkup records and receipts. Computer- and Web-based health guidance has beenattempted but no reports thereon have yet been published. Further efforts should be made to improve the design, cost,and handling characteristics of both the software and hardware.
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Ubiquitous healthcare monitoring
Kwang Suk Park,Toshiyo Tamura 대한의용생체공학회 2019 Biomedical Engineering Letters (BMEL) Vol.9 No.1
Technologies for healthcare are rapidly progressing. Recent years, we are facing surprisingly successful application of artifi cial intelligence (AI) in medicine and healthcare as well as in many other areas. In addition to AI, big data, internet of medical things (IoMT), telemedicine, predictive analytics, augmented/virtual reality (AR/VR), 5G wireless communication, Chatbot, and smart biosensor technologies are technologies mostly focused as key technologies for future healthcare [ 1 ]. These technologies are closely related each other and basically based on intelligent computing technology for massive data and fast communication technologies without noticeable delay. To be successful with this technology, we should be able to collect large amount of healthcare data so that the fi nal decisions can be provided with accurate enough results. Sporadically collected healthcare data within hospitals or medical clinics are not much enough for this applications. This requirement has smoothly extends the realm of healthcare data monitoring from hospitals into our ordinary living and working environments. To predictively analyze and make treatment in the earliest time, we need routine data collected before subjects notice any symptoms of their diseases. This requirement need the extension of healthcare monitoring time through our whole lives of days and nights [ 2 ]. So, the ubiquitous healthcare monitoring, which makes monitoring of healthcare data without constraints of time of place, are required for seamless healthcare data collection and following applications of AI and progressed healthcare technologies [ 3 ].
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