1. Motor Bur Milling State Identification via Fast Fourier Transform Analyzing Sound Signal in Cervical Spine Posterior Decompression Surgery
- Author
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Yuan Xue, Guangming Xia, He Bai, Jianxun Zhang, Qiu Wang, Rui Wang, and Yu Dai
- Subjects
Male ,Lamina ,medicine.medical_specialty ,Materials science ,Swine ,Fast Fourier transform ,Voltage-controlled oscillator ,Robotic Surgical Procedures ,medicine ,Animals ,Motor bur milling state ,Orthopedics and Sports Medicine ,Orthopedic surgery ,First specimen ,Clinical Article ,Fourier Analysis ,Fast Fourier Transform ,Decompression, Surgical ,Cervical spine ,Posterior decompression ,Surgery ,Sound ,medicine.anatomical_structure ,Cervical spine decompression ,Milling lamina sound signal ,Clinical Articles ,Cervical Vertebrae ,Cervical spine laminectomy ,Female ,Cortical bone ,Third specimen ,RD701-811 - Abstract
Objectives To investigate the real‐time sensitive feedback parameter of the motor bur milling state in cervical spine posterior decompression surgery, to possibly improve the safety of cervical spine posterior decompression and robot‐assisted spinal surgeries. Methods In this study, the cervical spine of three healthy male and three healthy female pigs were randomly selected. Six porcine cervical spine specimens were fixed to the vibration isolation system. The milling state of the motor bur was defined as the lamina cancellous bone (CA), lamina ventral corticalbone (VCO), and penetrating ventral cortical bone (PVCO). A 5‐mm bur milled the CA and VCO, and a 2‐mm bur milled the VCO and PVCO. A miniature microphone was used to collect the sound signal (SS) of milling lamina which was then extracted using Fast Fourier Transform (FFT). When using 5‐mm and 2‐mm bur to mill, the CA, VCO, and PVCO of each specimen were continuously collected at 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10 kHz frequencies for SS magnitudes. The study randomly selected the SS magnitudes of the CA and VCO continuously for 2 s at 1, 2, 3, 4, and 5 kHz frequencies for statistical analyses. When milling the VCO to the PVCO, we randomly collected the SS magnitudes of the VCO for consecutive 2 s and the SS magnitudes of continuous 2 s in the penetrating state at 1, 2, 3, 4, and 5 kHz frequencies for statistical analyses. The independent sample t‐test was used to compare the SS magnitudes of different milling states extracted from the FFT to determine the motor bur milling state. Results The SS magnitudes of the CA and VCO of all specimens extracted from the FFT at 1, 2, and 3 kHz were statistically different (P, The motor bur is the main bone milling device in cervical spine surgery. With an aim to increase the safety of dura and nerve in the milling operation, we would like to introduce the feasibility of Fast Fourier Transform analyzing sound signal protocol for distinguishing the milling status (including cancellous bone milling, cortical bone milling, and cortical bone penetration). We also proposed that our investigation would benefit the exploration of robot‐assistant spine surgery.
- Published
- 2021
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