These results suggest that the SmokeBeat real-time automatic monitoring and notification feature may facilitate smoking reduction in smokers motivated to make life-improving changes.вЂќ According to both self-report and detection of smoking episodes by the SmokeBeat system, smokers in the experimental condition showed a significant decline in their smoking rate while there was no change in the smoking rate of the control group. вЂњThe SmokeBeat algorithm detected correctly more than 80 percent of the smoking episodes and produced very few false alarms. Reuven Dar, a study author andВ professor at Tel Aviv UniversityвЂ™s School of Psychological Sciences, said in a statement. вЂњWe were impressed with the results,вЂќ Dr. The product then use cognitive behavior therapy or CBT to create personalized interventions for the user. If the user is detected smoking the device sends the user a message to confirm. It's designed to differentiate between other hand-to-mouth activities like eating, drinking and shaving, according to the company. The product uses body motion data to detect if a smoker isВ smoking motion by looking for a highly specific movement pattern. We provide the layer where everybody wins.вЂќ вЂњUntil now the only way to know was to interview the patient, which is very subjective. вЂњIt means a much higher potential and efficiency for smoking treatment,вЂќ Eran Ofir, CEO of Somatix told MobiHealthNews. It also found that study participants using SmokeBeat technology showed a significant decline in their smoking rate, according to a statement from Somatix. The study found that SomatixвЂ™s SmokeBeat, a wearable body motion detector or BMD, correctly detected more than 80 percent of smoking episodes in a small test group. Wearable technology could be key to reminding smokers looking to quit to put down the cigarette, according to a new study recently published by Oxford University PressвЂ™ peer review journal вЂњNicotine and Tobacco Research.вЂќ

Smoker apps