[go: up one dir, main page]

Brady et al., 2010 - Google Patents

The effects of drilling parameters on the acoustic drilling signature of the squamous temporal bone: A categorical multivariate regressive analysis

Brady et al., 2010

Document ID
17033216329636291652
Author
Brady P
Hill M
Connell J
Barrett J
Fennessy B
O'Sullivan P
O'Hare D
Publication year
Publication venue
2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010)

External Links

Snippet

This paper investigates the effects of drill speed, burr type, burr style, and stroke speed on the acoustics that are generated from a surgical drill when dissecting the squamous temporal bone region. Multivariate regression is used to analyse and predict the Mel …
Continue reading at ieeexplore.ieee.org (other versions)

Similar Documents

Publication Publication Date Title
US10772643B2 (en) Surgical tool monitoring system and methods of use
KR101670313B1 (en) Signal separation system and method for selecting threshold to separate sound source
Zhang et al. Nonlinear dynamic analysis of voices before and after surgical excision of vocal polyps
Ross et al. Random forest for improved analysis efficiency in passive acoustic monitoring
Genovese et al. Blind room volume estimation from single-channel noisy speech
RU2013140574A (en) SEMANTIC SOUND TRACK MIXER
Zakeri et al. Automatic identification of hard and soft bone tissues by analyzing drilling sounds
US8865993B2 (en) Musical composition processing system for processing musical composition for energy level and related methods
Bizley et al. Spectral timbre perception in ferrets: discrimination of artificial vowels under different listening conditions
GB2590201A (en) Apparatus for estimating mental/neurological disease
CN114387987B (en) Method, device, terminal and storage medium for measuring ecological noise source
Gordon et al. Spectral information for detection of acoustic time to arrival
Rogers et al. Sensitivity to isolated and concurrent intensity and fundamental frequency increments by cochlear implant users under natural listening conditions
JP2020505979A5 (en)
Roberts et al. Perceptual fusion and fragmentation of complex tones made inharmonic by applying different degrees of frequency shift and spectral stretch
Jalalinajafabadi et al. Perceptual evaluation of voice quality and its correlation with acoustic measurement
Eddins et al. Developing clinically relevant scales of breathy and rough voice quality
Brady et al. The effects of drilling parameters on the acoustic drilling signature of the squamous temporal bone: A categorical multivariate regressive analysis
Dejonckere et al. Voicing quantification is more relevant than period perturbation in substitution voices: an advanced acoustical study
Rruqja et al. Testing software tools with synthesized deviant voices for medicolegal assessment of occupational dysphonia
Derbas et al. Multisensor data fusion and machine learning to classify wood products and predict workpiece characteristics during milling
CN110335616B (en) Voice data noise reduction method, device, computer equipment and storage medium
Xu et al. Factors affecting the intelligibility of high-intensity-level-based speech
JP6299279B2 (en) Sound processing apparatus and sound processing method
Batko et al. Statistical analysis of the equivalent noise level