Insulin Resistance in Patients of End Stage Renal Disease on Hemodialysis - Effect of Short Term Erythropoietin Therapy
- *Corresponding Author:
- Nitya Nand
Department of Medicine
3/7J Medical Enclave
Rohtak-124001, Haryana, India
E-mail: [email protected]
Received Date: January 02, 2012; Accepted Date: February 19, 2012; Published Date: February 22, 2012
Citation: Nand N, Jain P, Sharma M (2012) Insulin Resistance in Patients of End Stage Renal Disease on Hemodialysis - Effect of Short Term Erythropoietin Therapy. J Bioeng Biomed Sci 2: 114. doi: 10.4172/2155-9538.1000114
Copyright: © 2012 Nand N, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
In this paper, we introduce a novel cycle identification algorithm using MATLAB programming to automatically identify cycles in tidal breathing signals. The algorithm was designed in four steps using filtering, derivation, and other signal processing techniques. To verify the accuracy of the proposed algorithm, its results were compared with those of cycles identified manually by a human coder. Simulations results showed that despite the complexity of respiratory signals, the proposed algorithm could identify cycles more accurately than the human coder. This algorithm could serve as an important first step toward timely identification and coding for more complex respiratory signals, such as those underlying speech productions.