[SVIA] Bruxism Detection 103: NightFix

Ling Ye
SVIA
Published in
2 min readAug 3, 2016

| Written by Manasi Patwa and Ling Ye

“Teeth grinding affects 92% of the population, but diagnosis is delayed and expensive.”

Products: 16 Trials with 5 People

Wearable Device(Prototype Developed): Reach 80% Accuracy Rate in detecting Bruxism(excessive teeth grinding); Conduct experiment to compare our current approach with the common EMG approach: Find higher accuracy with the original prototype.

Holding structure for the Device: Tape’s comfort level is low; Achieve increased comfort level after using the Sleep Band and 3-D Printed lid for our wearable device.

App(In Progress): Show real-time and past teeth grinding data analyzed by our Python algorithm; Create teeth grinding personal database for each user; 3-D model your potential teeth damages based on the data.

Interviews with 4 Different Groups

16 Dentists and Oral Surgeons: Bruxism takes long to diagnose and is not understood by community.

4 Reps from Medical Device Firms: Bulk sell to physicians, allows for innovation.

2 Medical School EMG Professors: Any medical device has to have doctor sponsorship.

20 College students: We know lots of people with teeth grinding; we would pay for it.

Future Version

  1. Work with medical device companies such as Henry Schein to give supplies to dentists, who will offer patients an easy way for diagnosis
  2. Offer upgrades with higher comfort, smaller sizes, updated software analytics and even sleep apnea.

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Ling Ye
SVIA
Writer for

Share “Confusion” and Go Forward | Student @USC @Stanford