A mobile telemedicine system for remote consultation in cases of acute stroke

Dong Keun Kim, Sun K. Yoo, In Cheol Park, Minhong Choa, Kyoung Y. Bae, Young Dae Kim, Ji Hoe Heo

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)


A mobile telemedicine system, capable of transmitting video and audio simultaneously, was designed for consulting acute stroke patients remotely. It could use a wireless local area network (e.g. inside the hospital) or a mobile phone network (e.g. outside the hospital). When initiating a call, the sending unit chose a suitable encoding profile based on the measured data throughput, in order to allocate appropriate bit rates for video and audio transmission. The system was tested using a portable digital assistant (PDA) type phone and smart phone as receiving units. Video and audio recordings were made from five patients (two normal and three stroke patients) and then transmitted at different rates. Subjectively, both video and audio qualities improved as the data throughput increased. The physical findings, including facial droop, arm drift and abnormal speech, were observed remotely by four specialists according to the Cincinnati Pre-hospital Stroke Scale guideline. A comparison between the face-to-face method and the mobile telemedicine method showed that there were no discrepancies at bit rates of more than 400 kbit/s. We conclude that specialists could generally conduct remote consultations for stroke patients either using a public mobile network or a wireless LAN.

Original languageEnglish
Pages (from-to)102-107
Number of pages6
JournalJournal of Telemedicine and Telecare
Issue number2
Publication statusPublished - 2009 Mar

Bibliographical note

Funding Information:
This study was supported by a grant of the Korea Health 21 R & D Project, Ministry of Health and Welfare, Republic of Korea (A020608), and this research was financially supported by the Ministry of Knowledge Economy (MKE) and Korea Industrial Technology Foundation (KOTEF) through the Human Resource Training Project for Strategic Technology.

All Science Journal Classification (ASJC) codes

  • Health Informatics


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