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Vijayalakshmi, K.
- Psycho-education Programme for Alzheimer’s Caregivers and its Validation
Authors
1 University of Mysore, Karnataka, IN
2 Department of Education, Regional Institute of Education, Bhubaneswar, Odisha, IN
Source
International Journal of Innovative Research and Development, Vol 5, No 7 (2016), Pagination: 86-102Abstract
Alzheimer’s disease was identified a century ago and is a progressive, degenerative disease affecting the geriatric population. But evidence of research in history of disease related to pre-pathogenic or pathogenic phase is subtle. In this advanced technological world, the cognitive function of a person if impaired affects not only an individual himself/herself but also the family members by creating enormous strain and burden for family caregivers which include in all dimensions of health like social, psychological, physical or economic aspects. The rate of progression is different and unique in each patient and it stumbles the caregiver’s empowerment and the patient thereby becomes a victim / a recipient of poor care giving because of incapability to handle the issues. In this backdrop, the authors of the paper present the development of psycho-education programme with an emphasis on theoretical issues about Alzheimer’s disease and capacity building to handle the patient. The content validity of the above programme is discussed.
Keywords
Alzheimer’s Disease (AD), Caregivers, Psychoeducation, Psychoeducation Programme- Coded Cooperation In Turbo-Code Using Log-Map Decoder
Authors
Source
International Journal of Innovative Research and Development, Vol 2, No 5 (2013), Pagination:Abstract
The user cooperation technique called, coded cooperation, where cooperation is achieved through channel coding method using turbo decoder. Each code word is partitioned into two subsets that are transmitted from the user’s and partner’s antennas respectively. Coded cooperation achieves impressive gains compared to a non-cooperative system while maintaining the same information rate, transmit power and bandwidth. In this paper we have analyzed the performance of the Log-Map (log-maximum a posteriori probability) for the Turbo Decoder. The various decoding algorithms are available for decoding of turbo codes. The performance of log-map over the AWGN channel is obtained. The BER and SNR performances of Log-Map are compared. It has been verified by the simulation results that the proposed adaption to the fixed scaling factor method gives enhanced results of the performance of Log-Map. The performance of SOVA (Soft Output Viterbi Algorithm) for turbo decoder to be analyzed. The performance of SOVA will be compared to the Log-Map over the AWGN channel. Using coded cooperation method gives superior performance than existing method like amplify-and-forward, decode-and-forward. Simulations of this work will be in MATLAB.