Welcome to the Biological Image and Signal Processing Laboratory (BLISS)

Asst. Prof. Dr.Suchada Tantisatirapong

Medical Image and Signal Processing Group (MISP)

Fields of Interest
     • Medical Image Processing (e.g. MRI image processing)
     • Physiological Signal Processing (e.g. EEG and EMG signal processing)
     • Human-Machine Interaction (e.g. visual spelling)

Research Project Conducted and Supervised by Asst. Prof. Dr.Suchada Tantisatirapong:
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Research showcase (1)
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Research showcase (2)
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Published Peer-reviewed Journals

[1] S. Tantisatirapong, P. Puttapirat, W. Senavongse, and T. Chanwimalueang, “The Design of Cognitive Training Games for the Thai Elderly”, ECTI-EEC, vol. 19, no. 3, pp. 289–297, Oct. 2021.

[2] P. Pornpreedawan, K. Puengsiricharoen, S. Tantisatirapong, R. Taweerutchana, and D. Sueaseenak, “A Bed-Fall Notification System Using Pressure and Ultrasonic Sensors”, CAST, 2021 (in press).

[3] S. Tantisatirapong and W. Preedanan, “Texture Based Classification of Malaria Parasites from Giemsa-Stained Thin Blood Films”, ECTI-EEC, vol. 18, no. 1, pp. 9-16, Feb. 2020.

Selected Published Conference Proceedings

[1] M. Phothisonothai and S. Tantisatirapong, "Fractal Dimension Based Color Texture Analysis for Mangosteen Ripeness Grading," 2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), Taipei, Taiwan, 2019, pp. 1-2.2.

[2] T. Liamsuwan, S. Tantisatirapong, P. Tangboonduangjit , "CTScanTool, a semi-automated organ segmentation tool for radiotherapy treatment planning, " Journal of Physics: Conference Series. 2019;1285:012027.

[3] M. Phothisonothai and S. Tantisatirapong, "Integrated Human-Machine Interaction System: ERP-SSVEP and Eye Tracking Based Technologies," 2019 11th International Conference on Knowledge and Smart Technology (KST), Phuket, Thailand, 2019, pp. 244-248.

[4] S. Tantisatirapong and M. Phothisonothai, "Design of User-Friendly Virtual Thai Keyboard Based on Eye-Tracking Controlled System," 2018 18th International Symposium on Communications and Information Technologies (ISCIT), Bangkok, 2018, pp. 359-362.

[5] S. Tantisatirapong, C. Prasoproek and M. Phothisonothai, "Comparison of Feature Extraction for Accent Dependent Thai Speech Recognition System," 2018 IEEE Seventh International Conference on Communications and Electronics (ICCE), Hue, 2018, pp. 322-325.

[6] S. Tantisatirapong and M. Phothisonothai, "Classification of In Vitro Blood Stages of Plasmodium Falciparum Based on Fuzzy Inference System," 2018 10th International Conference on Knowledge and Smart Technology (KST), Chiang Mai, 2018, pp. 293-296.

[7] A. Acharya, M. Phothisonothai and S. Tantisatirapong, "Surface Roughness Classification of Mangosteen with Gray Level Co-occurrence Matrix based Texture Analysis," 2018 22nd International Computer Science and Engineering Conference (ICSEC), Chiang Mai, Thailand, 2018, pp. 1-4

ที่อยู่:

อาคารวิจัยและพัฒนาเทคโนโลยีทางวิศวกรรมไฟฟ้า (อาคาร G) ชั้น 7

ภาควิชาวิศวกรรมชีวการแพทย์
คณะวิศกรรมศาสตร์
มหาวิทยาลัยศรีนครินทรวิโรฒ
63 หมู่ 7 ต.องครักษ์ อ.องครักษ์ จ.นครนายก 26120


ติดต่อ:

อีเมล
โทร: 026495000 ต่อ 27062

Address:
  • Electrical Engineering R&D Building (Building G), floor 7

  • Department of Biomedical Engineering, Srinakharinwirot University
  • 63 Moo 7, Ongkharak,
  • Nakhon Nayok, 26120
Contacts:

Email
Tel: +66 026495000 Ext. 27062

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