Control your diet, from your pocket.

Gastrointestinal (GI) problems are the second leading cause for missing work or school in the US and giving rise to 10% of the reasons why patients visit their physicians costing more than $142 billion annually (Gharibans, 2018). Gastrointestinal motility disorders are among the unsolved clinical challenges however measurement of gastrointestinal motility has more than 100 years history. 

Clinical gastroenterologists are in consensus that gastric smooth muscle electromyography (SEMG) analysis is the most perspective noninvasive method to monitor gastral motility and be an alternative method of invasive gastral pressure measurement.

Problem

In the last three decades many clinical studies tried to find a method for standardize measurement and analysis of gastrointestinal electric signals.  Although these works were successful to find answers to specific problems but did not publish a method which could be applicable for a wide range of clinicians. Lack of a standard method is a barrier to collect large amount of comparable human measurements which is mandatory to develop an automatized artifact rejection and analyzing method.

Analyzing gastric myoelectric signals is not just for diagnose gastrointestinal disorders (oesophageal reflux disease, gastroparesis, ileus, and colon obstruction) but also a tool for investigate digestion activity. Thereby this non-invasive technic provides an opportunity to monitor our intestine activity daily even at home without the stress of clinical environment. In the followings we would like to present a possible application that could be a turning point in the exploitation of the possibilities of SEMG measurement.

Experience

As a primary preclinical research activity, MDE Ltd. has been in business nearly for 20 years in the non-invasive measuring and software processing of the myoelectric waves (Electrogastrogram, EGIG) of the given regions (stomach, small intestine and large intestine) of gastrointestinal (GI) tract that represents its function. During different phases of the development MDE was cooperating with several academic and private research groups and the achieved results were published in scientific papers (Szűcs et al. 2016; Szűcs et al. 2018; Pribék et al. 2021). We obtained a patent in the field of animal breeding (P1600660/18 Non-invasive method for the selective detection of the myoelectric waves from the GI tract) and a new patent is under procedure for a human diagnostic application.

Publications

  • Correlation between slow-wave myoelectric signals and mechanical contractions in the gastrointestinal tract: Advanced electromyographic method in ratS
  • Detection of stress and the effects of central nervous system depressants by gastrointestinal smooth muscle electromyography in wakeful rats
  • Detection of acute stress by smooth muscle electromyography: 
A translational study on rat and human

GastroGuard is a belt for the user’s wellbeing. It follows, tracks, and measures the activity of the digestive system, based on myoelectric waves, measured on the user’s stomach, lower intestine and upper intestine, while digesting the food that was eaten during the day.

Usage

GastroGuard can help to:

  • Find the perfect diet for each individual and purpose
  • Reach the targeted goals, and to choose the most effective diet that fits the user’s digestive system
  • Find the right time for the calorie intake. Based on the last calorie intake and the activity of the digestive system, Gastro Guard can help to find the best time to eat during the day. This way, the body can reach its full potential by only getting the needed calories when the body is ready for it.
  • Find out what food is not for its user. By the measurements, the system can help to find the foods which aren’t good for the user’s body, e.g.: lactose intolerance, gluten sensitivity, insulin resistance, histamine sensitivity.
Future

The previously presented Gastro Guard system is a standalone and very profitable application for utilization of slow wave myoelectrical signals measurement technique. However, it is just the first step of the total exploitation of the possibilities that such measurement technic offers. Since the realization of myoelectrical signals of the gastric system hundreds of scientific studies and inventions were targeting to reach a novel diagnostic method fo the gastric region of the human body. Till today none of them were able to come up with feasible solution that could be built in to the modern clinical practice. We believe that main reason for this was the lack of big quantity data and personnel being analyzed. The previously presented application includes the pull collection of raw measurement data and auxiliary information about eating habits and basic physiological parameters. The diary functions allow the users to register their experiences and give us a guide to understand the collected data better. This data pull makes the whole application such a big scale pilot study for the myoelectrical activity measurement scheme that was never done before. By collecting the raw curves, we will be able to generate realistic measurement and analyzing concepts for further clinical applications that could open up such a new clinical diagnostic portfolio that has no current alternative.