2020 • Volume 65 • Number 1 - Contents:

Reviews

Ali Pashazadeh and Michael Friebe
Radioguided surgery: physical principles and an update on technological developments
Page 1

Research articles

Harikrishna Mulam and Malini Mudigonda
EOG-based eye movement recognition using GWO-NN optimization
Page 11

Mehdi Rajabioun, Ali Motie Nasrabadi, Mohammad Bagher Shamsollahi and Robert Coben
Effective brain connectivity estimation between active brain regions in autism using the dual Kalman-based method
Page 23

Chahira Mahjoub, Régine Le Bouquin Jeannès, Tarek Lajnef and Abdennaceur Kachouri
Epileptic seizure detection on EEG signals using machine learning techniques and advanced preprocessing Methods
Page 33

Xiaolin Gu, Qing Wu, Yue Zhang, Hao Zhong, Shengli Zhang, Chunming Xia and Jing Yu
Pattern recognition of head movement based on mechano-myography and its application
Page 51

Veysel Alcan, Hilal Kaya, Murat Zinnuroğlu, Gülçin Kaymak Karataş and Mehmet Rahmi Canal
A novel approach to the diagnostic assessment of carpal tunnel syndrome based on the frequency domain of the compound muscle action potential
Page 61

Jing Zhang, Sen Yang, Xiyue Wang, Ming Tang, Heng Yin and Ling He
Automatic hypernasality grade assessment in cleft palate speech based on the spectral envelope method
Page 73

Qi Zhang, Jingyu Xiong, Yehua Cai, Jun Shi, Shugong Xu and Bo Zhang
Multimodal feature learning and fusion on B-mode ultra-sonography and sonoelastography using point-wise gated deep networks for prostate Cancer diagnosis
Page 87

Shamim Ahmed, Marian Krüger, Christian Willomitzer and Golam Abu Zakaria
Automatic analysis of image quality by ETR-1 for the On-Board Imager
Page 99

Anne Bernhardt, Sophie Wolf, Emilia Weiser, Corina Vater and Michael Gelinsky
An improved method to isolate primary human osteocytes from bone
Page 107

Khurshid Alam, Sujan Piya, Ahmed Al-Ghaithi  and Vadim Silberschmidth
Experimental investigation on the effect of drill Quality on the performance of bone drilling
Page 113

Biomedical Engineering / Biomedizinische Technik ist eine etablierte Fachzeitschrift mit 60-jähriger Tradition. Sie versteht sich als interdisziplinäres Forum für wissenschaftliche Beiträge aus den Bereichen Maschinenbau, Elektrotechnik, Physik und Medizin. Alle Artikel unterliegen dem Peer-Review-Verfahren und werden in englischer Sprache publiziert.

DGBMT-Mitglieder erhalten jährlich 6 digitale Ausgaben der BME / BMT über einen freien elektronischen Zugang.