MUMBAI, India, Oct. 11 -- Intellectual Property India has published a patent application (202441028693 A) filed by Sri Ramachandra Institute Of Higher Education & Research, Chennai, Tamil Nadu, on April 8, 2024, for 'myo-occluscope -an integrated chairside bite force and muscle activity recorder.'
Inventor(s) include Dr. M. Uma Maheswari; and Dr. Aishwarya Arun.
The application for the patent was published on Oct. 10, under issue no. 41/2025.
According to the abstract released by the Intellectual Property India: "The present invention discloses MYO-OCCLUSCOPE - An integrated chairside system for determining and recording bite force and muscle activity without any need for an additional inventory. The system of the present invention comprises of an integrated device [1] and a computing system [2] in which a. characterized in the integrated device [1] comprises of force sensitive resistor [2], muscle sensor [3] with Arduino [10], microcontroller [4], Wi Fi Sensor [5], amplifier [6], capacitor [7] and power source [8] in which i. the force sensitive resistor [2] integrated to the microcontroller [4] through the amplifier [6] and capacitor [7] that captures changes in resistance as signal in response to applied force, the amplifier [6] amplifies the signals and the capacitor [7] converts the amplified signal into readable data comprising of bite force; ii. the muscle sensor [3] with Arduino [10] integrated to the microcontroller [4] through the amplifier [6] and capacitor [7] that captures electrical signals generated by muscle contractions, the amplifier [6] amplifies the signals and the capacitor [7] converts the amplified signal into readable data comprising of muscle activity and iii. the power source supply [8] configured to power to the integrated device [1]; b. the computing system [9] embedded with MATLAB software programme adapted to receive the readable data comprising of muscle activity and bite force from the integrated device [1] through the Wi Fi Sensor [5] and display Bite force values as quantitative data and muscle action potential as graph."
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