Daniel Martynek

ORCID: 0009-0007-9314-8184
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About
Contact & Profiles
Research Areas
  • Scoliosis diagnosis and treatment
  • Stroke Rehabilitation and Recovery
  • Dental Implant Techniques and Outcomes
  • Shoulder Injury and Treatment
  • Pelvic and Acetabular Injuries
  • Hernia repair and management
  • Oral microbiology and periodontitis research
  • Dental Radiography and Imaging
  • Hip and Femur Fractures

University of Chemistry and Technology, Prague
2023-2024

Czech Technical University in Prague
2024

Problems related to ventral hernia repairs (VHR) are very common, and evaluating them using computational methods can assist in selecting the most appropriate treatment. This study is based upon data from 3339 patients different European countries observed during last 12 years (2012–2023), which were collected by specialists surgery. Most underwent standard surgical procedures, with a growing trend towards laparoscopic paper focuses on statistically treatment relation patient age, body mass...

10.3390/app14083236 article EN cc-by Applied Sciences 2024-04-11

Individual physiotherapy is crucial in treating patients with various pain and health issues, significantly impacts abdominal surgical outcomes further medical problems. Recent technological artificial intelligent advancements have equipped healthcare professionals innovative tools, such as sensor systems telemedicine equipment, offering groundbreaking opportunities to monitor analyze patients' physical activity. This paper investigates the potential applications of mobile accelerometers...

10.3390/s24227330 article EN cc-by Sensors 2024-11-16

Oral health problems are closely associated with the analysis of dental tissue changes and stomatologic treatment that follows.This paper explores use diffuse reflectance spectroscopy in detection disorders.The data set includes 343 measurements teeth spectra wavelength range from 400 to 1700 nm.The proposed methodology focuses on computational statistical methods these for classification into two classes (healthy unhealthy) by estimating probability class membership.Signal processing is...

10.1109/access.2023.3246299 article EN cc-by-nc-nd IEEE Access 2023-01-01
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