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.

项目摘要/摘要我们的长期目标是为牙痛制定个性化的疼痛控制策略，这是主要的原因患者寻求牙科治疗。牙齿疼痛的客观和定量评估对于开发有效的疼痛控制治疗方法。准确地诊断牙痛的来源至关重要条件不仅会引起痛苦的痛苦，甚至会威胁生命。当前的牙齿疼痛诊断完全依赖患者的主观反应，这是有问题的，当患者无法沟通，例如幼儿和认知障碍或Langauge问题的个人。在牙科治疗期间和之后，最大程度地减少疼痛是患者和牙医的另一个重要问题。嘴唇和舌头的麻木通常被用作成功的下颌牙齿成功局部麻醉的迹象。这种方法相当无效，因为30-40％的患者在治疗过程中仍会遭受疼痛。此外，选择痛苦者是部分患者驱动的，这可能导致滥用oopods。这个探索性项目旨在测试是否可以客观且可靠地评估电肌活动（EDA）。当我们经历疼痛时，我们的交感神经系统（SNS）的活动就会增加。虽然社交媒体在牙齿疼痛中的作用尚不完全了解，同情神经纤维的数量增加在感染牙齿的果肉中报道。 EDA设备在手指上测量皮肤电导，强烈与汗水的产生相关，仅反映了SN的阳性。当健康的牙齿感冒时和电刺激，患者感到一种迅速恢复的感觉。在我们的试点研究中，这种感觉使用时变索引（TVSYMP）算法高度与EDA录音相关联，我们发达。因此，我们假设EDA的时变索引（TVSYMP）可以反映牙髓状态，并且是对牙齿疼痛的敏感措施。在这项拟议的研究中，我们将开发基于智能手机的微型EDA系统用于数据收集和TVSYMP分析（AIM 1）。这种低成本的基于智能手机 EDA设备可以轻松用于临床环境和无线报告患者的疼痛水平例如手术后的家，以更好地调整止痛药。它也可能提高合规性未来临床疼痛研究的参与者。我们将确定是否可以可靠地用于诊断TVSYMP 使用现有的大型EDA设备以及一旦可以使用智能手机的设备（AIM 2）。如果成功，TVSYMP录音将改善牙髓诊断的准确性，并成为牙齿疼痛的新型生物标志物，以替代主观疼痛报告。该项目在概念和技术上都是新颖的，因为：1）社交媒体的活动从未用于纸浆诊断和评估牙齿疼痛； 2）TVSYMP指数比以前的疼痛评估研究中使用的其他EDA指数。这项研究的发现具有很大的潜力显着影响牙齿护理和牙科疼痛研究。

项目成果

期刊论文数量（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Real-Time High-Level Acute Pain Detection Using a Smartphone and a Wrist-Worn Electrodermal Activity Sensor.

DOI：
10.3390/s21123956
发表时间：
2021-06-08
期刊：
Sensors (Basel, Switzerland)
影响因子：
0
作者：
Kong Y;Posada-Quintero HF;Chon KH
通讯作者：
Chon KH

The use of electrodermal activity in pulpal diagnosis and dental pain assessment.

DOI：
10.1111/iej.13868
发表时间：
2023-03
期刊：
International endodontic journal
影响因子：
5
作者：
通讯作者：

Using electrodermal activity to validate multilevel pain stimulation in healthy volunteers evoked by thermal grills

DOI：
10.1152/ajpregu.00102.2020
发表时间：
2020-09-01
期刊：
AMERICAN JOURNAL OF PHYSIOLOGY-REGULATORY INTEGRATIVE AND COMPARATIVE PHYSIOLOGY
影响因子：
2.8
作者：
Posada-Quintero, Hugo F.;Kong, Youngsun;Chon, Ki H.
通讯作者：
Chon, Ki H.

Differentiating between stress- and EPT-induced electrodermal activity during dental examination.