Icht Michal, Wiznitser Ressis-Tal Hadar, Lotan Meir
Department of Communication Disorders, Ariel University, Ariel, Israel.
Holistic Physical Therapy Private Clinic, Jerusalem, Israel.
Front Psychol. 2021 Jul 22;12:655202. doi: 10.3389/fpsyg.2021.655202. eCollection 2021.
Pain is difficult to assess in non-verbal populations such as individuals with intellectual and developmental disability (IDD). Due to scarce research in this area, pain assessment for individuals with IDD is still lacking, leading to maltreatment. To improve medical care for individuals with IDD, immediate, reliable, easy to use pain detection methods should be developed. The goal of this preliminary study was to examine the sensitivity of acoustic features of vocal expressions in identifying pain for adults with IDD, assessing their feasibility as a pain detection indicator for those individuals. Such unique pain related vocal characteristics may be used to develop objective pain detection means. Adults with severe-profound IDD level ( = 9) were recorded in daily activities associated with pain (during diaper changes), or without pain (at rest). Spontaneous vocal expressions were acoustically analyzed to assess several voice characteristics. Analyzing the data revealed that pain related vocal expressions were characterized by significantly higher number of pulses and higher shimmer values relative to no-pain vocal expressions. Pain related productions were also characterized by longer duration, higher jitter and Cepstral Peak Prominence values, lower Harmonic-Noise Ratio, lower difference between the amplitude of the 1st and 2nd harmonic (corrected for vocal tract influence; H1H2c), and higher mean and standard deviation of voice fundamental frequency relative to no-pain related vocal productions, yet these findings were not statistically significant, possibly due to the small and heterogeneous sample. These initial results may prompt further research to explore the possibility to use pain related vocal output as an objective and easily identifiable indicator of pain in this population.
对于诸如智力和发育障碍(IDD)患者等无法用言语表达的人群来说,疼痛很难评估。由于该领域研究稀缺,针对IDD患者的疼痛评估仍然欠缺,这导致了虐待行为的发生。为改善对IDD患者的医疗护理,应开发即时、可靠且易于使用的疼痛检测方法。这项初步研究的目的是检验成人IDD患者发声表达的声学特征在识别疼痛方面的敏感性,评估其作为这些患者疼痛检测指标的可行性。这种与疼痛相关的独特发声特征可用于开发客观的疼痛检测手段。对重度至极重度IDD水平(=9)的成人在与疼痛相关的日常活动(换尿布期间)或无疼痛(休息时)进行记录。对自发发声表达进行声学分析以评估多种声音特征。数据分析显示,与无疼痛的发声表达相比,与疼痛相关的发声表达的特征是脉冲数量显著更多、闪烁值更高。与疼痛相关的发声还具有持续时间更长、抖动和谐波峰值突出值更高、谐波噪声比更低、第一和第二谐波幅度之差更低(校正声道影响;H1H2c)以及相对于与无疼痛相关的发声,语音基频的平均值和标准差更高的特征,但这些发现无统计学意义,可能是由于样本量小且异质性大。这些初步结果可能促使进一步研究,以探索将与疼痛相关的发声输出用作该人群疼痛的客观且易于识别指标的可能性。