Department of Life Sciences, Collegiate of Speech Language and Hearing Sciences, State University of Bahia, UNEB, Salvador, Bahia, Brazil.
Department of Speech Therapy, Federal University of Paraíba, UFPB, João Pessoa, Paraíba, Brazil.
J Voice. 2023 Nov;37(6):967.e1-967.e7. doi: 10.1016/j.jvoice.2021.06.006. Epub 2021 Jul 10.
Acoustic analysis is widely used for assessing and monitoring vocal function. Dermatoglyphics is a method that analyzes genetic fingerprint markers, and uses that information for predicting physical skills related to anaerobic (explosive strength and speed) and aerobic (motor coordination and resistance) mechanisms. Therefore, it can be used as an indicator for individualized vocal training.
To characterize the dermatoglyphic profiles and their relation to acoustic measures in voice professionals.
A cross-sectional study involving 79 voice professionals. Acoustic analysis was performed using the PRAAT software. Mean intensity, fundamental frequency (F0), and cepstral peak prominence (CPP) value were extracted from the sustained vowel /a/. Fingerprints were collected using a Watson mini-integrated biometric scanner, and were quantified by design predominance, delta index (D10), total ridge count (TRC), and dermatoglyphic profile. The acoustic measures were analyzed descriptively and compared, considering the subjects' dermatoglyphic profiles. The confidence levels ranged from 90% to 95%.
Most subjects exhibited anaerobic dermatoglyphic profiles (P = 0.004) and low TRC (p < 0.001). Higher F0 (P = 0.061), intensity (P = 0.065), and CPP (P = 0.073) were found for anaerobics (P < 0.001). There was a weak and negative correlation between TRC and intensity (P = 0.026), as well as between F0 (P = 0.017) and CPP (P = 0.069).
Anaerobic profiles were predominant. The values of F0, intensity, and CPP increased for the anaerobics. There was a weak negative correlation between the TRC and intensity, F0, and CPP measures. Dermatoglyphics could have been seen as an interesting tool in the voice assessment and training direction for voice professionals.
声学分析广泛用于评估和监测发声功能。皮纹学是一种分析遗传指纹标记的方法，利用这些信息来预测与无氧（爆发力和速度）和有氧（运动协调和耐力）机制相关的体能。因此，它可以用作个性化声乐训练的指标。
描述声乐专业人员的皮纹学特征及其与声学测量的关系。
这是一项涉及 79 名声乐专业人员的横断面研究。使用 PRAAT 软件进行声学分析。从持续元音/a/中提取平均强度、基频（F0）和倒频谱峰突出度（CPP）值。使用 Watson mini-integrated biometric scanner 收集指纹，并通过设计优势、Delta 指数（D10）、总脊线计数（TRC）和皮纹学特征进行量化。对声学测量进行描述性分析，并根据受试者的皮纹学特征进行比较。置信水平范围为 90%至 95%。
大多数受试者表现出无氧皮纹学特征（P=0.004）和低 TRC（p<0.001）。无氧者的 F0（P=0.061）、强度（P=0.065）和 CPP（P=0.073）较高（P<0.001）。TRC 与强度（P=0.026）以及 F0（P=0.017）和 CPP（P=0.069）之间存在弱负相关。
无氧特征占主导地位。无氧者的 F0、强度和 CPP 值增加。TRC 与强度、F0 和 CPP 测量值之间存在弱负相关。皮纹学可能被视为评估和训练声乐专业人员声音的一种有趣工具。
