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Quantitative Assessment of Dental Pain using a smartphone-attachable electrodermal activity sensor

使用智能手机连接的皮肤电活动传感器对牙痛进行定量评估

基本信息

批准号：
10171570
负责人：
I-Ping Chen
金额：
$ 20.32万
依托单位：
UNIVERSITY OF CONNECTICUT SCH OF MED/DNT
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-06-01 至 2023-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10171570
关键词：
Acute Adult Affect Algorithms Amplifiers Analgesics Anesthesia procedures Arousal Biological Markers Blood Vessels Cellular Phone Cessation of life Child Clinic Clinical Clinical Trials Cognition Disorders Data Data Analyses Data Collection Data Reporting Dental Dental Care Dental Clinics Dental Pulp Dental caries Dentinal Fluid Dentistry Dentists Detection Devices Diagnosis Diagnostic Disease Effectiveness Electric Stimulation Electrodes Enrollment Esthesia Exploratory/Developmental Grant Fingers Future Galvanic Skin Response Goals Hand Home Individual Infection Jaw Laboratories Language Lead Life Lip structure Local anesthesia Measures Methods Monitor Movement Necrosis Nerve Nerve Fibers Neuropeptides Numbness Odontoblasts Operative Surgical Procedures Orthopedics Pain Pain Measurement Pain Research Pain management Participant Patient Care Patient Self-Report Patients Pilot Projects Postoperative Pain Production Public Health Publications Pulp Canals Pulp Chambers Pulpitis Reporting Research Rewards Role Selection Criteria Sensitivity and Specificity Sensory Signal Transduction Source Stimulus Sympathetic Nervous System System Testing Time Tongue Tooth structure Toothache Visceral pain Visual Wireless Technology accurate diagnosis afferent nerve analog arthritic pain base clinical care clinical pain cost experience high risk improved indexing miniaturize nerve supply novel novel marker opioid abuse opioid overuse optimal treatments pain scale patient response pediatric patients prescription opioid pulpal blood flow remote monitoring research study response sensor standard care theories time use

项目摘要

Project Summary/Abstract Our long-term goal is to develop a personalized pain-control strategy for toothache, which is the primary reason patients seek dental treatment. An objective and quantitative assessment of dental pain is essential to develop efficient treatment for pain control. Diagnosing the source for toothache accurately is crucial as some conditions not only can cause excruciating pain but even be life-threatening. Current dental pain diagnosis relies fully on subjective responses from patients, which is problematic when patients are unable to communicate such as young children and individuals with cognitive disorders or langauge problems. Minimizing pain during and after dental treatment is another important concern for patients and dentists. Numbness of lip and tongue is typically used as a sign of successful local anesthesia for teeth of the lower jaw. This method is rather ineffective, as 30-40% of patients still experience pain during treatment. Furthermore, the selection of painkillers is partially patient-driven, which can lead to the abuse of opiods. This exploratory project aims to test whether electrodermal activity (EDA) can be used to assess dental pain objectively and reliably. When we experience pain, our activity of the sympathetic nervous system (SNS) is increased. Although the role of the SNS in dental pain is not fully understood, increased numbers of sympathetic nerve fibers have been reported in the pulp of infected teeth. EDA devices measure skin conductance on fingers, which strongly correlates to sweat production and exclusively mirrors acitivity of the SNS. When healthy teeth receive cold and electrical stimulation, patients feel a sensation that recovers quickly. In our pilot study, such sensations were highly correlated with EDA recordings using a time-varying index (TVSymp) algorithm, which we developed. We thus hypothesize that the time-varying index (TVSymp) of EDA can reflect pulpal status and is a sensitive and specific measure for dental pain. In this proposed study, we will develop a smartphone-based miniaturized EDA system for data collection and analysis of TVSymp (Aim 1). This low-cost smartphone-based EDA device could easily be used in clinical settings and for wireless reporting of pain levels from a patient’s home, for example after surgery, to better adjust pain medication. It may also enhance compliance of participants in future clinical pain studies. We will determine whether TVSymp can reliably be used to diagnose pulpal status and assess levels of dental pain using the existing large-sized EDA device as well as the smartphone-based device once ready to use (Aim 2). If successful, TVSymp recordings would improve the accuracy of pulpal diagnosis and be a novel biomarker for dental pain to replace subjective pain reporting. This project is conceptually and technically novel because: 1) the activity of SNS has never been used for pulp diagnosis and assessing dental pain; 2) the TVSymp index is more sensitive and more consistent compared to other EDA indices used in previous pain assessment studies. Findings from this study have a great potential to significantly impact dental care and dental pain research.

项目总结/文摘