Towards a Multi-Sensor System for the Diagnosis of Neurological Disorders

被引：0

作者：

Tenner, Felix ^{[1
,5
]}

Schramm, Axel ^{[2
]}

Soehle, Mona ^{[1
]}

Regensburger, Martin ^{[2
]}

Wirthmann, Elisa ^{[1
]}

Zalevsky, Zeev ^{[3
,4
,5
]}

Schmidt, Michael ^{[1
,5
]}

机构：

[1] Friedrich Alexander Univ Erlangen Nurnberg, Inst Photon Technol, Konrad Zuse Str 3-5, D-91052 Erlangen, Germany

[2] Friedrich Alexander Univ Erlangen Nurnberg, Neurol Clin, Schwabachanlage 6, D-91054 Erlangen, Germany

[3] Bar Ilan Univ, Fac Engn, Inst Nanotechnol & Adv Mat BINA, IL-5290002 Ramat Gan, Israel

[4] Bar Ilan Univ, Nanophoton Ctr, Inst Nanotechnol & Adv Mat BINA, IL-5290002 Ramat Gan, Israel

[5] Friedrich Alexander Univ Erlangen Nurnberg, Grad Sch Adv Opt Technol, Paul Gordan Str 6, D-91052 Erlangen, Germany

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM) | 2016年

关键词：

AMYOTROPHIC-LATERAL-SCLEROSIS; FASCICULATIONS; PATTERN; ORIGIN;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The occurrence of fasciculations is an indication for several neurological disorders. However, due to the low amplitude and irregular occurrence, these involuntary muscle movements are hard to quantify. Currently used techniques have to be applied manually from a trained specialist and lack the possibility of a remote measurement of fasciculations. Therefore, we introduce a new approach which is able to remotely measure fasciculations with high temporal resolution. Moreover, we compare the sensitivity of our technique with established methods and give an outlook how our technology can be expanded to a multi-sensor system for the automated diagnosis of neurological disorders.

引用

页码：495 / 500

页数：6

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