Literature DB >> 3557481

Noninvasive assessment of human gastric motor function.

B O Familoni, Y J Kingma, K L Bowes.   

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Year:  1987        PMID: 3557481     DOI: 10.1109/tbme.1987.326012

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


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  10 in total

1.  Blind separation of multichannel electrogastrograms using independent component analysis based on a neural network.

Authors:  Z S Wang; J Y Cheung; J D Chen
Journal:  Med Biol Eng Comput       Date:  1999-01       Impact factor: 2.602

2.  Gastric motility functional study based on electrical bioimpedance measurements and simultaneous electrogastrography.

Authors:  Zhang-Yong Li; Chao-Shi Ren; Shu Zhao; Hong Sha; Juan Deng
Journal:  J Zhejiang Univ Sci B       Date:  2011-12       Impact factor: 3.066

3.  Electrical bioimpedance gastric motility measurement based on an electrical-mechanical composite mechanism.

Authors:  Shu Zhao; Hong Sha; Zhang-Yong Li; Chao-Shi Ren
Journal:  World J Gastroenterol       Date:  2012-07-07       Impact factor: 5.742

4.  Observation of the propagation direction of human electrogastric activity from cutaneous recordings.

Authors:  J Chen; J Vandewalle; W Sansen; E van Cutsem; G Vantrappen; J Janssens
Journal:  Med Biol Eng Comput       Date:  1989-09       Impact factor: 2.602

5.  Can transcutaneous recordings detect gastric electrical abnormalities?

Authors:  B O Familoni; K L Bowes; Y J Kingma; K R Cote
Journal:  Gut       Date:  1991-02       Impact factor: 23.059

6.  Conoidal dipole model of electrical field produced by the human stomach.

Authors:  M P Mintchev; K L Bowes
Journal:  Med Biol Eng Comput       Date:  1995-03       Impact factor: 2.602

7.  Theoretical and computational multiple regression study of gastric electrical activity using dipole tracing from magnetic field measurements.

Authors:  Andrei Irimia; John J Beauchamp; L Alan Bradshaw
Journal:  J Biol Phys       Date:  2004-09       Impact factor: 1.365

8.  Electrogastrogram simulation using a three-dimensional model.

Authors:  B Kothapalli
Journal:  Med Biol Eng Comput       Date:  1993-09       Impact factor: 2.602

9.  Multistage enhancement of surface recordings of canine gastric electrical signals.

Authors:  M Tanyel; K Y Lee; W Y Chey; P R Chitrapu
Journal:  Ann Biomed Eng       Date:  1993 Jul-Aug       Impact factor: 3.934

10.  Biosensor-Assisted Method for Abdominal Syndrome Classification Using Machine Learning Algorithm.

Authors:  Charu Gandhi; Sayed Sayeed Ahmad; Abolfazl Mehbodniya; Julian L Webber; S Hemalatha; Haitham Elwahsh; Basant Tiwari
Journal:  Comput Intell Neurosci       Date:  2022-01-28
  10 in total

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