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International Journal of Legal Medicine

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04-12-2023 | Original Article

Identification of sudden cardiac death from human blood using ATR-FTIR spectroscopy and machine learning

Authors: Xiangyan Zhang, Jiao Xiao, Fengqin Yang, Hongke Qu, Chengxin Ye, Sile Chen, Yadong Guo

Published in: International Journal of Legal Medicine | Issue 3/2024

Abstract

Objective

The aim of this study is to identify a rapid, sensitive, and non-destructive auxiliary approach for postmortem diagnosis of SCD, addressing the challenges faced in forensic practice.

Methods

ATR-FTIR spectroscopy was employed to collect spectral features of blood samples from different cases, combined with pathological changes. Mixed datasets were analyzed using ANN, KNN, RF, and SVM algorithms. Evaluation metrics such as accuracy, precision, recall, F1-score and confusion matrix were used to select the optimal algorithm and construct the postmortem diagnosis model for SCD.

Results

A total of 77 cases were collected, including 43 cases in the SCD group and 34 cases in the non-SCD group. A total of 693 spectrogram were obtained. Compared to other algorithms, the SVM algorithm demonstrated the highest accuracy, reaching 95.83% based on spectral biomarkers. Furthermore, by combing spectral biomarkers with age, gender, and cardiac histopathological changes, the accuracy of the SVM model could get 100%.

Conclusion

Integrating artificial intelligence technology, pathology, and physical chemistry analysis of blood components can serve as an effective auxiliary method for postmortem diagnosis of SCD.

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Title: Identification of sudden cardiac death from human blood using ATR-FTIR spectroscopy and machine learning
Authors: Xiangyan Zhang
Jiao Xiao
Fengqin Yang
Hongke Qu
Chengxin Ye
Sile Chen
Yadong Guo
Publication date: 04-12-2023
Publisher: Springer Berlin Heidelberg
Published in: International Journal of Legal Medicine / Issue 3/2024
Print ISSN: 0937-9827
Electronic ISSN: 1437-1596
DOI: https://doi.org/10.1007/s00414-023-03118-7

At a glance: The STEP trials

Springer Medicine

Identification of sudden cardiac death from human blood using ATR-FTIR spectroscopy and machine learning

Abstract

Objective

Methods

Results

Conclusion

At a glance: The STEP trials

Springer Medicine

Abstract

Objective

Methods

Results

Conclusion

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