Current status of multichannel electrogastrography and examples of its use.

Haruaki Murakami, Hideo Matsumoto, Daisuke Ueno, Akimasa Kawai, Takaaki Ensako, Yuko Kaida, Toshiya Abe, Hisako Kubota, Masaharu Higashida, Hiroshi Nakashima, Yasuo Oka, Hideo Okumura, Atsushi Tsuruta, Masafumi Nakamura, Toshihiro Hirai

Research output: Contribution to journalReview articlepeer-review

16 Citations (Scopus)


Electrogastrography (EGG) is a non-invasive diagnostic motility for recording gastric myoelectrical activity. Gastric myoelectrical activity was first recorded in 1922. Advances in recording equipment enabled widespread use of cutaneous EGG after 1985. Later, introduction of multichannel EGG (M-EGG) enabled measurement of electrical activity transmission. At present, M-EGG findings are used as objective indicators of gastric motility disorders caused by various diseases. EGG measures two categories of gastric electrical activity: electrical response activity, or spike potentials; and electrical control activity, or slow waves. The appearance of abnormal rhythmic electrical activity is indicative of abnormalities in gastric motility. The normal frequency range of gastric electrical activity (normogastria) is around 3 cycles per?min. Multiple EGG parameters assist in the assessment of gastric myoelectrical activity, and significant correlations between EGG and other gastric motility tests have been demonstrated in many studies. In Japan, however, EGG remains in the exploratory stage, and its clinical use is limited. There are large variations in procedures and systems used in previous studies, thus there is a need for standardization of EGG procedures and technical terminology. Here, we outline the current status of EGG and report the M-EGG procedures used in our department in addition to our M-EGG findings.

Original languageEnglish
Pages (from-to)78-88
Number of pages11
JournalJournal of smooth muscle research = Nihon Heikatsukin Gakkai kikanshi
Publication statusPublished - 2013
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Physiology


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