Recognized by Israel Innovations Authority AS one of 2018, 10 breakthrough MedTechs
About OUR groundbreaking Eating behavior monitoring sensor
Our vision will enhance their successes...
Patients undergoing major bariatric surgeries—Adjustable Gastric Banding, Gastric Bypass, or Sleeve Gastrectomy—are expected to adopt new eating behaviors post-surgery. These changes are influenced both by the surgery's restrictive components and the post-operative dietary instructions provided by caregivers: eat slowly, chew food thoroughly, and consume small meals. RPM (Remote Patient Monitoring) services are becoming crucial for follow-up in bariatric patients, monitoring compliance with lifestyle changes, tracking weight variations, and enabling caregivers to assess patient progress, provide corrective advice, and interventions. However, bariatric surgery patients require more comprehensive monitoring, particularly for eating behavior changes and potential eating disorders, alongside with obtaining real-time corrective guidance. The current RPM sensors are inadequate to monitor these critical variables, leading many patients to fail in adopting correct behavioral modifications, late interventions, potentially resulting in complications, weight regain, and reoperations.
Our sensor is the missing link to bariatric surgery RPM & patient long-term successes...
Our patented technology, the EBM-TID sensor (Eating Behaviour Monitoring & Training Implanted Device), offers extensive benefits for bariatric surgery patients and surgeons. Here's what it provides:
- RPM eating behavior & eating disorders, objective data collection, and remote follow-up
- Real-time corrective guidance to modify eating behavior, with real time feedback during meals.
- Real-time analysis of eating behavior and disorders patterns.
- referrals to caregivers based on current status.
- Objective data-based compliance and clinical reports for the caregivers.
- Early alerts and referrals to the surgeon in case of complication development.
- Predictive technology to identify potential failure and take early preventive steps.
It is time for our first clinical trial...
After successfully proving the concept in the laboratory at Ben-Gurion University Engineering School and demonstrating the system's ability to identify the type of food passing through our sensor in 9 out of 10 events, it's time to test the system in humans.