A mobile device application applied to low back disorders

Many muscular function assessments require the monitoring of muscular activity in different environments. This can happen in the gymnasium during a training session or while practising a sport; at work, where movements and specific actions are executed; at school, where the child adopts an incorrect posture, or even while we walk. In this paper, we propose a system to allow the assessment of the muscular condition in any of these environments in a comfortable and simple way for the patient and using the advances in wireless communications. Just a wireless biomonitor (we have used the ME6000 biomonitor, a medical portable equipment of very small dimensions) and one PDA or mobile phone with wireless interface are needed. The medical device is configured from the mobile device. Then, wireless communications are used to transmit online the electromyographic signals registered by the medical equipment to a mobile device. The specific protocol used by the medical device is implemented to carry out the communication. There are two ways to configure the system: offline and online. In offline mode, once all the information is received, it is sent to a server using a connection to the Internet instead of the online way, where this information is sent simultaneously. The server includes a background application to process the information in real-time with the aim to evaluate the function of the muscle during the exercise and to establish healthy behaviours for the patient. Then, this information can be consulted by the specialist and also by the client using the PDA or mobile phone to show the report. A prototype of this system has been developed and implemented. The system has been evaluated by a preliminary usability, reliability, feasibility and communication performance study.

[1]  Jean Scholtz,et al.  Toward a Framework for Evaluating Ubiquitous Computing Applications , 2004, IEEE Pervasive Comput..

[2]  Yu Wang,et al.  Wearable Sensors and Telerehabilitation Integrating Intelligent Telerehabilitation Assistants with a Model for Optimizing Home Therapy , 2003 .

[3]  S Conforto,et al.  Optimal rejection of movement artefacts from myoelectric signals by means of a wavelet filtering procedure. , 1999, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[4]  Thomas F Budinger,et al.  Biomonitoring with wireless communications. , 2003, Annual review of biomedical engineering.

[5]  IstepanianR. S.H.,et al.  Guest Editorial Introduction to the Special Section on M-Health , 2004 .

[6]  Yuan-Hsiang Lin,et al.  A wireless PDA-based physiological monitoring system for patient transport , 2004, IEEE Transactions on Information Technology in Biomedicine.

[7]  Dirk Husemann,et al.  Personal mobile hub , 2004, Eighth International Symposium on Wearable Computers.

[8]  J. Fleiss,et al.  Intraclass correlations: uses in assessing rater reliability. , 1979, Psychological bulletin.

[9]  Mimoza Durresi,et al.  Wireless Communications for Health Monitoring on Highways , 2007, 27th International Conference on Distributed Computing Systems Workshops (ICDCSW'07).

[10]  Sooyoung Yoo,et al.  MobileMed: A PDA-Based Mobile Clinical Information System , 2006, IEEE Transactions on Information Technology in Biomedicine.

[11]  M. Stokes,et al.  Reliability of assessment tools in rehabilitation: an illustration of appropriate statistical analyses , 1998, Clinical rehabilitation.

[12]  Jyri Huopaniemi,et al.  Programming wireless devices with the Java 2 platform, micro edition : J2ME, connected limited device configration (CLDC) 1.1, mobile information device profile (MIDP) 2.0 , 2001 .

[13]  Jean Scholtz,et al.  Towards a Discipline for Evaluating Ubiquitous Computing Applications [Technical Report] , 2004 .

[14]  Bangnan Xu,et al.  The role of ad hoc networking in future wireless communications , 2003, International Conference on Communication Technology Proceedings, 2003. ICCT 2003..

[15]  W G Hopkins,et al.  Measures of Reliability in Sports Medicine and Science , 2000, Sports medicine.

[16]  S. Boden,et al.  Low Back Pain: Medical Diagnosis and Comprehensive Management , 1989 .

[17]  Ilkka Korhonen,et al.  Health monitoring in the home of the future. , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[18]  H. Devries MUSCLES ALIVE-THEIR FUNCTIONS REVEALED BY ELECTROMYOGRAPHY , 1976 .

[19]  William G. Griswold,et al.  Usability and Feasibility of PmEB: A Mobile Phone Application for Monitoring Real Time Caloric Balance , 2006, Mob. Networks Appl..

[20]  W. Floyd,et al.  The function of the erectores spinae muscles in certain movements and postures in man * , 1955, The Journal of physiology.

[21]  Hui Wang,et al.  Performance Evaluation of Twelve-Lead Electrocardiogram Telemonitor Utilizing 3G Cellular Phone , 2006, The Sixth IEEE International Conference on Computer and Information Technology (CIT'06).

[22]  H. Nazeran,et al.  A PDA-based flexible telecommunication system for telemedicine applications , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[23]  A. Woolf,et al.  Burden of major musculoskeletal conditions. , 2003, Bulletin of the World Health Organization.

[24]  Julián Fernández-Navajas,et al.  Performance of a 3g-based mobile telemedicine system , 2006, CCNC 2006. 2006 3rd IEEE Consumer Communications and Networking Conference, 2006..

[25]  Emil Jovanov,et al.  Guest Editorial Introduction to the Special Section on M-Health: Beyond Seamless Mobility and Global Wireless Health-Care Connectivity , 2004, IEEE Transactions on Information Technology in Biomedicine.

[26]  Vimla L. Patel,et al.  Usability in the real world: assessing medical information technologies in patients' homes , 2003, J. Biomed. Informatics.

[27]  Juan Carlos Guerri,et al.  A multimedia telemedicine system to assess musculoskeletal disorders , 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

[28]  Juan Carlos Guerri,et al.  A software tool to acquire, synchronise and playback multimedia data: an application in kinesiology , 2000, Comput. Methods Programs Biomed..

[29]  J. Winters,et al.  Wearable sensors and telerehabilitation , 2003, IEEE Engineering in Medicine and Biology Magazine.

[30]  Gavriel Salvendy,et al.  Developing Instrument for Handset Usability Evaluation: A Survey Study , 2007, HCI.

[31]  Vincent M. Stanford,et al.  Using Pervasive Computing to Deliver Elder Care , 2002, IEEE Pervasive Comput..

[32]  G. Sleivert,et al.  Reliability of measuring isometric and isokinetic peak torque, rate of torque development, integrated electromyography, and tibial nerve conduction velocity. , 1994, Archives of physical medicine and rehabilitation.

[33]  S.Y. Shin,et al.  Efficient use of java MIDP record management system in wireless devices , 2005, IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication, 2005..

[34]  Julie A. Jacko,et al.  Interaction design and usability , 2007 .

[35]  Karla Felix Navarro,et al.  MoteCare: an adaptive smart BAN health monitoring system , 2006 .

[36]  Aura Ganz,et al.  A mobile teletrauma system using 3G networks , 2004, IEEE Transactions on Information Technology in Biomedicine.

[37]  C. Richards,et al.  Hip-spine movement interaction and muscle activation patterns during sagittal trunk movements in low back pain patients. , 1994, Spine.

[38]  Mikael Palmblad,et al.  Electronic diaries and questionnaires: Designing user interfaces that are easy for all patients to use , 2004, Quality of Life Research.

[39]  Dimitri Konstantas,et al.  Measurements-based performance evaluation of 3G wireless networks supporting m-health services , 2005, IS&T/SPIE Electronic Imaging.