MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641024498 A) filed by P. Divya Jenifar; S. Arun Kumar; Ashia Rahmath; M. Jawahar; and P. Yogapriy A, Coimbatore, Tamil Nadu, on March 2, for 'swallowing rehabilitation headset (dyphagia).'
Inventor(s) include P. Divya Jenifar; S. Arun Kumar; Ashia Rahmath; M. Jawahar; and P. Yogapriy A.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The Swallowing Rehabilitation Headset bridges the gap between expensive clinical tools and home exercises that lack proper feedback. Current methods like video fluoroscopy require hospital visits and expose patients to radiation, making frequent monitoring difficult. Existing wearable devices depend on smartphones or cloud services, which adds comiPiexity and raises privacy concerns. There is a clear need for a simple, standalone, jand low-cost swallowing monitor that can be used continuously at home. The device uses an ESP32 micrq' controller along with three sensors: an accelerometer to track voice box movement, a :Piezoelectnc sensor to detect throat vibraliuus, and a MAX9814 microphone to capture swallowing sounds. It works completely on its own, handling all signal reading and ;lassification without any external computer or cloud support. A smart piezoelectric ~ake circuit keeps the ESP32 in deep sleep until a swallow happens, which saves pbwer and allows the device to run for days on a single charge. After classifYing the swallow, it automatically picks a pre-stored image and sends it directly to a Telegram channel using the Bot API. This design brings several new and patentable ideas: no need for a paired smartphone, a simple sensor setup that avoids patented sEMG technology, a piezoelectric wake-up system that saves battery, and th~ use ofTelegram as the only way to interact with the device. Patients can practice the~apy at home on their own, while therapists get instant visual alerts on their phones. Wuh its low cost and no need for training, this invention I can work well in both advanced jhospitals and communities with limited resources. KEYWORDS: Dysphagia, swallowing rehabilitation, wearable device, ESP32, accelerometer, piezoelectric sensor, microphone, edge processing, on-device classification, Telegram bot, visual biofeedback, low-power wake circuit, standalone system, telehealth."
Disclaimer: Curated by HT Syndication.
