Acoustic Emission Based Assessment of Temporomandibular Joints - - PowerPoint PPT Presentation

▶
acoustic emission based assessment
SMART_READER_LITE
LIVE PREVIEW

Acoustic Emission Based Assessment of Temporomandibular Joints - - PowerPoint PPT Presentation

Aug 28, 2023 360 likes •477 views

Acoustic Emission Based Assessment of Temporomandibular Joints Daniel Whittingslow MD/PhD Candidate Omer Inan PhD, Sampath Prahalad MD, Shelly Abramowicz DMD, MPH, FACS BACKGROUND Sounds from the TMJ are a common but poorly understood

slide-1
SLIDE 1

Acoustic Emission Based Assessment

  • f Temporomandibular Joints

Daniel Whittingslow MD/PhD Candidate Omer Inan PhD, Sampath Prahalad MD, Shelly Abramowicz DMD, MPH, FACS

slide-2
SLIDE 2

BACKGROUND

  • Sounds from the TMJ are a common but

poorly understood clinical sign.

  • The TMJ is difficult to examine, and diagnosis

depends heavily on imaging.

  • Joint sounds have previously been shown to

correlate with pathologies in the knee.1

  • 1. D. C. Whittingslow, et al., Using Knee Acoustical Emissions for Sensing Joint Health in Patients with Juvenile Idiopathic Arthritis: A Pilot Study, IEEE Sensors Journal
slide-3
SLIDE 3

PURPOSE

  • Record and analyze TMJ sounds (acoustic

emissions, AE).

  • To develop an instrumented headset for

recording sounds from the TMJ.

  • To determine sound features that could help

screen for pathologic conditions in the jaw.

slide-4
SLIDE 4

MATERIALS AND METHODS

Study design – Case-Control Inclusion criteria

– Age 6-18 – No history of jaw disease, damage, or

  • rthodontics

– No history of craniofacial syndromes affecting the TMJ – No systemic disease affecting the TMJ

Statistical Analysis

– 2 tailed unmatched t-test (p <0.05)

slide-5
SLIDE 5

MATERIALS AND METHODS

  • Ten maximal incisal openings (MIO) and lateral excursions

while wearing headset

2 s

TMJ sound recording headset is worn while performing jaw exercises. TMJ Sound Recording Headset with Integrated Contact Microphones

slide-6
SLIDE 6

Study Demographics

TMJ + TMJ - Enrolled 3 male 12 female 5 male 15 female Age (years) 14.3 11.9

A B

slide-7
SLIDE 7

RESULTS – Time Domain Signals

A B

TMJ Sounds No TMJ Sounds

Open-Close Open-Close Medial-Lateral Medial-Lateral

slide-8
SLIDE 8

DATA ANALYSIS METHOD: b-Value Analysis

(i) Bandpass Filter

Time (s)

Audio Units (mm/s2)

(ii) Peak Detection

Time (s)

Audio Units (mm/s2)

(iii) Peaks w.r.t. Amplitude (iv) log of Ordered Peaks

B-Value N logN

Acoustical Emission Amplitude (dB) Acoustical Emission Amplitude (dB)

slide-9
SLIDE 9

b-Value Comparison

p=0.00014 p=0.01

No TMJ Sounds TMJ Sounds No TMJ Sounds TMJ Sounds

Medial-Lateral b-Values Open-Close b-Values

slide-10
SLIDE 10

CONCLUSIONS

  • Time-Domain AE signals are more chaotic in

patients with TMJ sounds.

  • The b-Value showed significant differences

between the two groups.

  • In the future, TMJ AEs could serve as a non-invasive

biomarker of TMJ health.