Chapters authored
Sharp Wave Based HHT Time-frequency Features with Transmission Error
Part of the book: Advances in Telemedicine
Mobile Cloud-Based Blood Pressure Healthcare for Education
Mercury, pneumatic, and electronic sphygmomanometers were widely used for traditional blood pressure (BP) measurement. Cloud BP database, and mobile information and communication technology (MICT) do not integrate to these BP measurement methods. Pen and papers were employed to record BP values for nurses and physicians, and recording errors are possible to occur. In the chapter, the cloud-based BP platform solution and advanced wireless hospital BP measurement technologies were studied. These cloud-based BT measurement technologies were used as teaching aids to train students of electrical and nursing fields for mobile BP healthcare and health promotion education, and hence interdisciplinary teaching and learning were conducted. The teachers include professors of electrical and nursing fields, physicians, hospital nurses, and the engineer and health management experts of Microlife. The interdisciplinary teaching and learning of mobile BP healthcare and health promotion for smart aging were conducted in the Department of Nursing Division, Chang Cung Memorial Hospital, Keelung Branch, Department of Nursing Ching Kuo Institute of Management and Health, School of Nursing Chung Shan Medical University, and Department of Electrical Engineering, National Taiwan Ocean University. The students of electrical and nursing fields participated for joint interdisciplinary learning. The concepts of interdisciplinary mobile BP healthcare learning and teaching involve nursing and technology, healthy aging, BP health care for smart aging, telenursing, BP care for smart aging, community/home telecare, and MICT. The objective of teaching and learning is training the design and making electrical engineers to understand BP healthcare and health promotion, and nurses to understand mobile BP healthcare and health promotion system for smart aging.
Part of the book: Mobile Health Technologies
Implementation of a Multimaps Chaos-Based Encryption Software for EEG Signals
In the chapter, we adopted a chaos logic map and a quadratic map to develop the chaos-based multi-maps EEG encryption software. The encryption performances of the chaos-based software were studied. The percent root-mean-square difference (PRD) is used to estimate the accuracy of a correctly decrypted EEG signal with respect to the original EEG signal. Pearson correlation coefficient (PCC) is used to estimate the correlation between the original EEG signal and an incorrectly decrypted EEG signal. The seven encryption aspects were testing, the average PRD value of the original and correctly decrypted EEG signals for the chaos-based multi-maps software is 2.59 x 10-11, and the average encryption time is 113.2857 ms. The five error decryption aspects were testing, the average PCC value of the original and error decrypted EEG signals for the chaos-based multi-maps software is 0.0026, and the average error decryption time is 113.4000 ms. These results indicate that the chaos-based multimaps EEG encryption software can be applied to clinical EEG diagnosis.
Part of the book: Advances in Security in Computing and Communications
Filter Band Multicarrier Based Transmission Technology for Clinical EEG Signals
A transmission scheme is proposed based on filter band multicarrier (FBMC) transmission technology for clinical electroencephalogram (EEG) signals. The proposed scheme integrates binary phase shift keying (BPSK) and offset quadrature amplitude modulation (OQAM), an FBMC transmission mechanism, and low-density parity-check code (LDPC) error protection in an FBMC-based EEG mobile communication system. The proposed EEG mobile communication system employs high-speed transmission, with schemes providing significant error protection for mobile communication of clinical EEG signals requiring a stringent bit-error rate (BER). The performances of BERs and mean square errors (MSEs) of the proposed EEG mobile communication system were explored. Simulation results show that the proposed scheme is a superior transmission platform as compared to existing schemes for clinical EEG signals.
Part of the book: Electroencephalography