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Modern Circuits & Systems Technologies in Biomedical Engineering Work

Modern Circuits & Systems Technologies in Biomedical Engineering Work. Panos Bamidis Assist. Prof. Medical Informatics Medical School Aristotle University of Thesaloniki, Greece. Medical School at AUTH. About 38 0 academic staff members About 3 ,000 active students

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Modern Circuits & Systems Technologies in Biomedical Engineering Work

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  1. Modern Circuits & Systems Technologies in Biomedical Engineering Work Panos Bamidis Assist. Prof. Medical Informatics Medical School Aristotle University of Thesaloniki, Greece

  2. Medical School at AUTH About 380 academic staff members About 3,000 active students >80clinics and laboratories 6 years of study 9 internal sectors 230-350 entrant students per year Actual student number per year: 400

  3. The Lab of Medical Informatics (LOMI) officially founded in 1990. evolved into one of the major research and development centres in the field of Medical Informatics and Biomedical Engineering both in the Greek and European arena. very active in the fields of biomedical processing of brain and heart signals, medical database development, modelling of brain and heart, bioinformatics, e-health care linked with chronic disease management, home care pilot studies, data mining, Physiological/Affective Computing and Interactive Interfaces, assistive/educational technologies for the elderly and the disabled E-learning in medical education, collaborative web and social networks (Web 2.0), semantic web and ontologies (Web 3.0), open source, content sharing, standards Expert technical role within the Medical School (provision of web site, e-learning environment)

  4. Examples of Circuits and Systems Technologies in Biomedical Engineering work Affective computing and Skin conductance measurements Skin conductance in shielded environments Physical activity measurements (elderly care) Rehabilitation devices Baby monitoring devices

  5. WADEDA: A Wearable Affective Device with On-Chip Signal Processing Capabilities for measuring ElectroDermal Activity Konstantinidis, E.I., Frantzidis, C.A., Papadelis, C., Pappas, C., Bamidis, P.D. WADEDA: A wearable affective device with on-chip signal processing capabilities for measuring electrodermal activity. 2010. IFMBE Proceedings 29 , pp. 276-279.  skin conductance: widely used in psychological experiments Affecting computing: need for development of new forms of wearable, computerized systems capable of gathering & unobtrusively processing physiological signals while users perform real-world activities

  6. Widely used in psychological experiments ad HCI applications Introduction Wearable Autonomous Real Time Unobtrusive long-term gathering Real Time Processing Small & Lightweight Smart Storage No need for transmission Reliable Acquisition On-chip processing Konstantinidis, E.I., Frantzidis, C.A., Papadelis, C., Pappas, C., Bamidis, P.D. WADEDA: A wearable affective device with on-chip signal processing capabilities for measuring electrodermal activity. 2010. IFMBE Proceedings 29 , pp. 276-279. 

  7. Hardware Implementation Konstantinidis, E.I., Frantzidis, C.A., Papadelis, C., Pappas, C., Bamidis, P.D. WADEDA: A wearable affective device with on-chip signal processing capabilities for measuring electrodermal activity. 2010. IFMBE Proceedings 29 , pp. 276-279. 

  8. WADEDA Konstantinidis, E.I., Frantzidis, C.A., Papadelis, C., Pappas, C., Bamidis, P.D. WADEDA: A wearable affective device with on-chip signal processing capabilities for measuring electrodermal activity. 2010. IFMBE Proceedings 29 , pp. 276-279. 

  9. WADEDA Konstantinidis, E.I., Frantzidis, C.A., Papadelis, C., Pappas, C., Bamidis, P.D. WADEDA: A wearable affective device with on-chip signal processing capabilities for measuring electrodermal activity. 2010. IFMBE Proceedings 29 , pp. 276-279. 

  10. Real time emotion aware applications Konstantinidis EI, Frantzidis CA, Pappas C, Bamidis PD. Real time emotion aware applications: a case study employing emotion evocative pictures & neuro-physiological sensing enhanced by Graphic Processor Units. Comput Methods Programs Biomed. 2012 Jul;107(1):16-27. doi: 10.1016/j.cmpb.2012.03.008.  A case study employing emotion evocative pictures and neuro-physiological sensing enhanced by Graphic Processor Units

  11. An MEG compatible system for measuring skin conductance responses (SCRs) • MEG-compatible low-cost (<$200) system for monitoring galvanic SCRs in the MSR simultaneously to MEG. Alternative commercial MEG-compatible solutions which integrate also electroencephalographic recordings have high cost (>$70,000). • Based on simple biomagnetism and electronics principles. • Simultaneous recordings of MEG and SCR signals allows the concurrent assessment of the autonomic and central nervous systems activity. • Optimizes high SNR of SCRs and achieves minimal distortion of the MEG signal. • SCR systems’ accuracy was tested in time and frequency domain and its measurements were certified in a paradigm of emotional processing. Styliadis C, Papadelis C, Konstantinidis E, Ioannides AA, Bamidis P. An MEG compatible system for measuring skin conductance responses. J Neurosci Methods. 2013 Jan 15; 212(1): 114-23. doi: 10.1016/j.jneumeth.2012.09.026.

  12. Block diagram of the MEG-compatible SCR system depicting the flow of the SCR signal • Development is based on a fiber-optic transformer. • Voltage to frequency transduction (modulator) inside the MSR. • Frequency to voltage transduction (demodulator) outside the MSR. • INITIAL APPROACH • Design based on a device proposed by Shastri et al. (2001) for monitoring SCRs in a clinical magnetic resonance (MR) scanner during functional imaging. • This fMRI-compatible device was built and tested in a MEG experimental setup. • It was found to be non-MEG compatible. • It generated severe technical artifacts in the recorded MEG signal. • FINAL APPROACH • A second MEG-compatible unit (demodulator) was designed and built. • It employs an optical isolation serving to the signal transduction between the recording unit placed inside and the transforming unit placed outside the MSR. • It does not allow radio-frequency (RF) artifacts to pass through the acquisition cable and interfere with the MEG recordings. Styliadis C, Papadelis C, Konstantinidis E, Ioannides AA, Bamidis P. An MEG compatible system for measuring skin conductance responses. J Neurosci Methods. 2013 Jan 15; 212(1): 114-23. doi: 10.1016/j.jneumeth.2012.09.026.

  13. Testing was performed inside the MSR of a 151-channel CTF whole head system (VSM MedTech Ltd). • Simultaneous MEG to SCRs recordings from five healthy participants. • Test whether the developed system does not generate artifacts in the MEG data. • Two measurements were performed for each participant; one without the system in the MSR, and one with the system in the MSR, connected to the participant and in operation. Configuration for the MEG/SCR system (A) The participant sits comfortably in an upright position under the helmet-shape base of the dewar. (B) The index and middle fingers of the non-dominant hand are placed onto the sensors’ plate. (C) and (D) The SCR signal travels via the fiber-optic cable and as it is passed through the penetration panel it is fed into the input of the optic transformation device. (E) Finally, the transformed signal is fed into the external channel of the MEG Acquisition system which allows the host computer to make the data collection. Styliadis C, Papadelis C, Konstantinidis E, Ioannides AA, Bamidis P. An MEG compatible system for measuring skin conductance responses. J Neurosci Methods. 2013 Jan 15; 212(1): 114-23. doi: 10.1016/j.jneumeth.2012.09.026.

  14. Calibration & Testing • Time and frequency domain analysis in separate statistical analysis. • No significant differences were observed between the two sessions for any statistic index. Styliadis C, Papadelis C, Konstantinidis E, Ioannides AA, Bamidis P. An MEG compatible system for measuring skin conductance responses. J Neurosci Methods. 2013 Jan 15; 212(1): 114-23. doi: 10.1016/j.jneumeth.2012.09.026.

  15. Simultaneous SCR and MEG recordings in Emotional Processing. • High arousing pictures, regardless the direction of valence elicited higher SCR than low arousing did (Anonkin et al. 2006; Bradley et al. 2001). Group SAM image for arousal main effect. Arousal effect was correlated to right inferior parietal lobule (IPF) and right temporal pole (TP) activity. Styliadis C, Papadelis C, Konstantinidis E, Ioannides AA, Bamidis P. An MEG compatible system for measuring skin conductance responses. J Neurosci Methods. 2013 Jan 15; 212(1): 114-23. doi: 10.1016/j.jneumeth.2012.09.026.

  16. DEVELOPMENT OF A GENERIC AND FLEXIBLE HUMAN BODY WIRELESS SENSOR NETWORK Evdokimos I. Konstantinidis Panagiotis D. Bamidis Dimitrios G. Koufogiannis Aristotle University of Thessaloniki Medical School Laboratory of Medical Informatics

  17. Main Concept • Transducer • Network of transducers • Serves measurement data to CCU • CCU • Identifies connected transducers • Acquires measurements from transducers • Transmit measurement packets to PC (Bluetooth) • OS Service • Communicates with CCU and stores data to database • Database • Table fields depend on the transducers • Software • Project files management • Controls service (start / stop) • Visualizes data in database

  18. Transducer and CCU • CCU • DSP Microcontroller and Bluetooth • Master of the I2C network • CCU scans all possible connected transducers, finds the connected one and generates XML file based on all the sensors on the network • Estimates maximum sampling frequency that can achieved (depends on the number of sensors) • Answers to PC commands and sends measurement packets • Transducer • Microcontroller and sensor(s) • Memory map (describing the sensor(s)) • The network is based on I2C • Unique ID • Answers to CCU commands • Tree different types of transducers developed • Accelerometer • Temperature • Skin Conductance <signal_1 signal_name="a1x"> <signal_type>accelerometer</signal_type> <zero_offset>512</zero_offset> <number_to_multiply>5</number_to_multiply> <measurement_unit>"mG "</measurement_unit> </signal_1>

  19. LLM home example LLM Project: www.longlastingmemories.eu

  20. Physical Exer-gaming LLM Project: www.longlastingmemories.eu

  21. Physical Exer-gaming LLM Project: www.longlastingmemories.eu

  22. A biomedical engineering tele-notification system for monitoring babies during sleep (MAIA) Alexander Astaras LOMI, AUTH

  23. Basic idea ! + = Το παρόν κείμενο περιέχει εμπιστευτικές πληροφορίες. Απαγορεύεται η εκμετάλλευση, διανομή, αποστολή ή οποιαδήποτε άλλη χρήση τους, μερικώς ή συνολικά, χωρίς την πρωθύστερη άδεια του συγγραφέα.

  24. EPICURE Intelligent physical rehabilitation devices based upon Pneumatic pistons, electromechanical FEEDBACK & Automatic Optimization for a personalized TRAINING PROGRAMME http://kedip.med.auth.gr/epicure/

  25. Info: Visit the YouTube llmdissemination channel The project final video is in YouTube: http://www.youtube.com/watch?v=tXnUc4lCi1Y Follow us in tweeter @bamidis pdbamidis@gmail.com

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