— Several medical examinations require that multiple modalities of exams are stored in a synchronized manner. For instance, an EEG exam needs that several physiological signals along with video of the exam are acquired synchronously to aid the neurophysiologists to perform their diagnostics. Furthermore support for telemedicine for such exams have become important in recent years. The existing EDF standard that is used for physiological signals makes it difficult to provide integrated support of adding video and compressed component data, however due to widespread use of EDF standard in the domain, cross compatibility with EDF standard for physiological data is also essential. We present in this work a novel idea to solve these issues. Our approach uses standard multimedia containers in which physiological data are embedded alongside video and audio. This paper provides our analyses of the state of the art of multimedia containers EDF, AVI, ASF, MPEG and MKV and their potentials for a telemedicine application and outlines how MKV stands out as an interesting option in this regard, allowing also capability of compression of physiological data if needed. I. INTRODUCTION Telemedicine, in recent years, has emerged as a major new trend in medicine that exploits advancements in technologies such as communications, high speed internet and multimedia. The neurophysiological exams such as Electroencephalogram (EEG) are now often done with video recording of the exam, in order to facilitate remote diagnostic via telemedicine. This leads to two key issues. Firstly the equipment has to record all the exam modalities (physiological signals, audio, video, exam annotations, etc.) in a highly synchronized manner. The word synchronization refers to time and more precisely the temporal relations between media objects in a multimedia system. Secondly the data container format that ensures that all the gathered information are stored in a format that preserves all the synchronization information and makes the data exploitable by end user applications for diagnostics whether in-house, in same hospital or somewhere else via telemedicine. Smart-EEG project [1], [2] aims to resolve both issues and it envisions a solution that provides highly synchronized data acquisition of all the exam components and stores them into a format that uses existing standards adapted to store this timed exam data. This paper is oriented to this second part and outlines the contributions of this work by proposing an MKV [3] based solution.