Publication Type : Book Chapter
Publisher : In Advances in ubiquitous sensing applications for healthcare, Compressive Sensing in Healthcare
Source : In Advances in ubiquitous sensing applications for healthcare, Compressive Sensing in Healthcare, Pages 145-164
Campus : Chennai
School : School of Engineering
Department : Computer Science
Year : 2020
Abstract : Lately, healthcare devices have gone through a very expeditious development. The conventional systems have been contingent upon providing the patients with vast advantages and the relationship that prevails between the patients and the medical cyber physical systems are becoming healthier and powerful. A very tremendous development has been started for human welfare by medical cyber physical systems and this has keyed up a great improvement to the human community. The main objective of the proposed system is to support and monitor the patients using real time data that is obtained from the patients on consulting and evaluating the various parts of their body. Real time images are captured from the patients and these images are stored in the cloud for clinical examination and for a patient database. For efficient storage of the data in the cloud, the compressive-sensing algorithm has been applied. Further, the images in the cloud database can be retrieved and reconstructed using appropriate recovery algorithms. Doctors analyze the data that is saved in the cloud, diagnose the disease and provide necessary medication to the patients. Parameters such as percentage of reduction in the total amount of samples and the PSNR value were studied. And 53% of reduction in the samples was obtained throughout the proposed system. Thus, an ensuring on-cloud healthcare clinic has been developed for healthcare industry.
Cite this Research Publication : Dr. S. Aasha Nandhini, K.Keerthana, S.Radha, "Cyber physical systems for healthcare applications using compressive sensing", Editor(s): Mahdi Khosravy, NilanjanDey, Carlos A. Duque, In Advances in ubiquitous sensing applications for healthcare, Compressive Sensing in Healthcare, Academic Press, Pages 145-164, 2020.