[Tura, A., Badanai, M., Longo, O., Quareni, L. (2003). A medical wearable device with wireless Bluetooth based data transmission. Measurement Science Review, 3, 1-4.]Search in Google Scholar
[Rasid, M.F.A., Woodward, B. (2005). Bluetooth telemedicine processor for multichannel biomedical signal transmission via mobile cellular networks. IEEE Transactions on Information Technology in Biomedicine, 9 (1), 35-43.10.1109/TITB.2004.840070]Search in Google Scholar
[Chien, J.-R.C., Tai, C.C. (2004). A wireless Bluetooth device applied to a non-contact type breathing monitoring system. In IEEE International Conference on Networking, Sensing and Control, March 21-23, 2004, Vol. 1, 172-173.10.1109/ICNSC.2004.1297429]Search in Google Scholar
[Chien, J.-R.C., Tai, C.C. (2006). Handheld electrocardiogram measurement instrument using a new peak quantification method algorithm built on a system-on-chip embedded system. Review of Scientific Instruments, 77 (9), 095106.10.1063/1.2349295]Search in Google Scholar
[Woodward, B., Istepanian, R.S.H., Richards, C.I. (2001). Design of a telemedicine system using a mobile telephone. IEEE Transactions on Information Technology in Biomedicine, 5 (1), 13-15.10.1109/4233.908361]Search in Google Scholar
[Rubel, P., Fayn, J., Nollo, G., Assanelli, D., Li, B., Restier, L., et al. (2005). Toward personal health in cardiology. Results from the EPI-MEDICS telemedicine project. Journal of Electrocardiology, 38 (4), 100-106.]Search in Google Scholar
[Haddab, S., Bouchoucha, M., Cugnenc, P.-H., Barbier, J.-P. (1990). New method for electro gastrographic analysis. In Proceedings of Third Annual IEEE Symposium on Computer-Based Medical Systems, June 3-6, 1990, 418-425.10.1109/CBMSYS.1990.109426]Search in Google Scholar
[Alvarez, W.C. (1922). The electrogastrogram and what it shows. Journal of the American Medical Association, 78, 1116-19.]Search in Google Scholar
[Lin, Z., Eaker, E.Y., Sarosiek, I., McCallum, R.W. (1999). Gastric myoelectrical activity and gastric emptying in patients with functional dyspepsia. American Journal of Gastroenterology, 94, 2384-2389.10.1111/j.1572-0241.1999.01362.x]Search in Google Scholar
[Verhagen, M.A.M.T., van Schelven, L.J., Samsom, M., Smout, A.J.P.M. (1999). Pitfalls in the analysis of electrogastrographic recordings. Gastroenterology, 117, 453-460.10.1053/gast.1999.0029900453]Search in Google Scholar
[Huizinga, J.D., Robinson, T.L., Thomsen, L. (2000). The search for the origin of rhythmicity in intestinal contraction; from tissue to single cells. Neurogastroenterology and Motility, 12 (1), 3-9.10.1046/j.1365-2982.2000.00177.x]Search in Google Scholar
[Hubka, P., Rosí, V., Ždiňák, J., Tyšler, M., Hulín, I. (2005). Independent component analysis of electrogastrographic signals. Measurement Science Review, 5, 21-24.]Search in Google Scholar
[Simonian, H.P., Panganamamula, K., Chen, J.Z., Fisher, R.S., Parkman, H.P. (2003). Multichannel electro - gastrography (EGG) in symptomatic patients: A single center study. Neurogastroenterology and Motility, 15, 338.]Search in Google Scholar
[Liang, J., Cheung, J., Chen, Z. (1997). Detection and deletion of motion artefacts in electrogastrogram using feature analysis and neural networks. Annals of Biomedical Engineering, 25, 850-857.10.1007/BF02684169]Search in Google Scholar
[Chen, J., Lin, Z., Wu, Q., McCallum, R.W. (1995). Non-invasive identification of gastric contractions from surface electrogastrogram using back-propagation neural networks. Medica Engineering and Physics, 17, 219-225.10.1016/1350-4533(95)95713-K]Search in Google Scholar