Prospect and application of Internet of Things technology for prevention of SARIs

Abstract The Internet of Things (IoT) includes three core procedures: full spectrum perception, reliable transmission, and intelligent processing. It can be applied for the prevention and control of SARI (severe acute respiratory infection). By combining sensors, information technology, artificial intelligence, and available dynamic networking devices, IoT could realize long-distance communication between hospitals, patients, and medical devices, which could ultimately improve current medical conditions.

[1]  Richard P Miller.  Virtua Health's CEO, Richard P. Miller, works well with doctors. Major issues include professional liability crisis, charity care, taxation of physician practices. , 2004, New Jersey medicine : the journal of the Medical Society of New Jersey.

[2]  Myeong-Chan Cho,et al.  Wireless Biomedical Signal Monitoring Device on Wheelchair using Noncontact Electro-mechanical Film Sensor , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[3]  P.M. Oliveira,et al.  Wireless Hydrotherapy Smart-Suit Network for Posture Monitoring , 2007, 2007 IEEE International Symposium on Industrial Electronics.

[4]  A Huch,et al.  [Patient monitoring by transcutaneous PCO2-measurement and simultaneous control of the relative local perfusion (author's transl)]. , 1973, Der Anaesthesist.

[5]  E.J. Cha,et al.  Wearable transducer to monitor respiration in a wireless way , 2007, 2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine.

[6]  A Gandsas,et al.  Wireless vital sign telemetry to hand held computers. , 2001, Studies in health technology and informatics.

[7]  H P Steffens,et al.  [Possibilities of radio recording of biosignals using digital memories]. , 1985, Biomedizinische Technik. Biomedical engineering.

[8]  B. Hök,et al.  Development of a wireless stethoscope for auscultatory monitoring during anaesthesia , 1988, Medical and Biological Engineering and Computing.

[9]  Yu Zhu,et al.  Quantitative CT analysis of pulmonary nodules for lung adenocarcinoma risk classification based on an exponential weighted grey scale angular density distribution feature , 2018, Comput. Methods Programs Biomed..

[10]  John Dimeff,et al.  A wireless respiration failure detection system , 1974, Medical and biological engineering.

[11]  W H Ko,et al.  Taped on heart rate and electrocardiogram telemetry transmitters. , 1971, JAAMI : journal of the Association for the Advancement of Medical Instrumentation.

[12]  Chunxue Bai,et al.  Letter from China , 2018, Respirology.

[13]  A. Juels,et al.  The security implications of VeriChip cloning. , 2006, Journal of the American Medical Informatics Association : JAMIA.

[14]  Sung-Joon Ye,et al.  Monitoring Patient's Setup and Motion With a Wireless CCTV System in Semi Beam's Eye View , 2007 .

[15]  Y. Zhu,et al.  Automated Classification of Pulmonary Nodules for Lung Adenocarcinomas Risk Evaluation: An Effective CT Analysis by Clustering Density Distribution Algorithm , 2017 .

[16]  P. M. Mendes,et al.  2.4 GHz wireless sensor network for smart electronic shirts , 2005, SPIE Microtechnologies.

[17]  J. Pandolfino,et al.  Ambulatory Esophageal pH Monitoring Using a Wireless System , 2003, American Journal of Gastroenterology.

[18]  D. Andrews,et al.  A Comparative Study of a New Wireless Continuous Cardiorespiratory Monitor for the Diagnosis and Management of Patients with Congestive Heart Failure at Home , 2002, Journal of telemedicine and telecare.

[19]  Thomas F Budinger,et al.  Biomonitoring with wireless communications. , 2003, Annual review of biomedical engineering.