Bibliothèque de références en e-thérapie

  • Kohno, R., Abe, H., Benditt, D.G., 2017. Ambulatory electrocardiogram monitoring devices for evaluating transient loss of consciousness or other related symptoms. J Arrhythm 33, 583–589. https://doi.org/10.1016/j.joa.2017.04.012
  • Nishijima, D.K., Lin, A.L., Weiss, R.E., Yagapen, A.N., Malveau, S.E., Adler, D.H., Bastani, A., Baugh, C.W., Caterino, J.M., Clark, C.L., Diercks, D.B., Hollander, J.E., Nicks, B.A., Shah, M.N., Stiffler, K.A., Storrow, A.B., Wilber, S.T., Sun, B.C., 2017. ECG Predictors of Cardiac Arrhythmias in Older Adults With Syncope. Ann Emerg Med. https://doi.org/10.1016/j.annemergmed.2017.11.014
  • Kasapkara, H.A., Şentürk, A., Bilen, E., Ayhan, H., Karaduman, B.D., Turinay, Z.Ş., Güney, M.C., Durmaz, T., Keleş, T., Bozkurt, E., 2017. Evaluation of QT dispersion and T-peak to T-end interval in patients with early-stage sarcoidosis. Rev Port Cardiol 36, 919–924. https://doi.org/10.1016/j.repc.2017.05.011
  • Smith, W., Members of CSANZ Cardiovascular Genetics Working Group, 2011. Guidelines for the diagnosis and management of arrhythmogenic right ventricular cardiomyopathy. Heart Lung Circ 20, 757–760. https://doi.org/10.1016/j.hlc.2011.07.019
  • Constantini, K., Stickford, A.S.L., Bleich, J.L., Mannheimer, P.D., Levine, B.D., Chapman, R.F., 2017. Synchronizing Gait with Cardiac Cycle Phase Alters Heart Rate Response during Running. Med Sci Sports Exerc. https://doi.org/10.1249/MSS.0000000000001515
  • Buekers, J., De Boever, P., Vaes, A.W., Aerts, J.-M., Wouters, E.F.M., Spruit, M.A., Theunis, J., 2017. Oxygen saturation measurements in telemonitoring of patients with COPD: a systematic review. Expert Rev Respir Med 1–11. https://doi.org/10.1080/17476348.2018.1417842
  • Mathew, P.J., Gupta, A., Natarajan, V., Ganesan, R., Sharma, R., 2017.  Failure of Pulse Oximetry and Cooximetry as Monitors in a Patient with Hemoglobin MIwate: A Case Report. A A Case Rep. https://doi.org/10.1213/XAA.0000000000000689
  • Li, S., Jiang, S., Jiang, S., Wu, J., Xiong, W., Diao, S., 2017. A Hybrid Wavelet-Based Method for the Peak Detection of Photoplethysmography Signals. Comput Math Methods Med 2017, 9468503. https://doi.org/10.1155/2017/9468503
  • Ejupi, A., Galang, C., Aziz, O., Park, E.J., Robinovitch, S., 2017. Accuracy of a wavelet-based fall detection approach using an accelerometer and a barometric pressure sensor. Conf Proc IEEE Eng Med Biol Soc 2017, 2150–2153. https://doi.org/10.1109/EMBC.2017.8037280
  • Liu, S.-H., Cheng, W.-C., 2012. Fall detection with the support vector machine during scripted and continuous unscripted activities. Sensors (Basel) 12, 12301–12316. https://doi.org/10.3390/s120912301
  • Calomeni, M.R., Furtado da Silva, V., Velasques, B.B., Feijó, O.G., Bittencourt, J.M., Ribeiro de Souza E Silva, A.P., 2017. Modulatory Effect of Association of Brain Stimulation by Light and Binaural Beats in Specific Brain Waves. Clin Pract Epidemiol Ment Health 13, 134–144. https://doi.org/10.2174/1745017901713010134
  • Ulate-Campos, A., Tsuboyama, M., Loddenkemper, T., 2017. Devices for Ambulatory Monitoring of Sleep-Associated Disorders in Children with Neurological Diseases. Children (Basel) 5. https://doi.org/10.3390/children5010003
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