Do multiple temperature measurements improve temperature-based death time estimation? The information degradation...

Area of Science:

• Forensic Science
• Biophysics
• Mathematical Modeling

Background:

• Accurate estimation of time since death is crucial in forensic investigations.
• Temperature-based death time estimation (TDE) relies on accurate input parameter values.
• Multiple measurements are often employed to enhance accuracy but can introduce noise.

Purpose of the Study:

• To quantitatively analyze the advantages and disadvantages of multiple measurements approaches (MMAs) in TDE.
• To develop a general stochastic model for MMAs.
• To assess the information degradation associated with MMAs.

Main Methods:

• Developed a general stochastic model for multiple measurements approaches (MMAs).
• Derived the information degradation inequality to quantify MMA gains and losses.
• Applied the model to two specific MMAs relevant to TDE: successive rectal and synchronous body layer temperature measurements.

Main Results:

• The study presents a general stochastic model and the information degradation inequality for MMAs.
• Neither successive rectal nor synchronous body layer temperature measurements significantly improve TDE accuracy.
• MMAs demonstrate superiority over single measurements only during the initial stages of body cooling.

Conclusions:

• Multiple measurements approaches (MMAs) provide marginal benefits for forensic temperature-based death time estimation (TDE).
• The effectiveness of MMAs is largely confined to the early post-mortem period.
• Careful consideration of noise accumulation and stochastic dependencies is essential when applying MMAs.