Joachim H, Feldmann U
Z Rechtsmed. 1980;85(1):5-22. doi: 10.1007/BF02099162.
We recently reported on an unusually high correlation between the post mortem interval and the postmortem (pm) increase of the muscular threshold to galvanic stimuli (Rheobase) in the skeletal muscle of the rat. To find out whether a practicable method of estimating the time of death could be developed out of this, we investigated skeletal muscles of 11 individuals having died from various causes. The muscles were stimulated electrically by square-impulses of 1 s length at 200 V, the strength ranging from 0.1 to 80 mA. The electrodes were applied to the skin. A strong correlatin (r = 0.98 on average) between the muscular threshold to electric stimuli and the time of pm investigation was also found in human muscles and can be described by the Formula Y(T)[mA] = AExp(b . T) when A is the primary threshold (Rheobase) and T the time of pm interval. Differentiation of this equation leads to a strongly linear regression curve by which finally the time of death can be expressed as (formula: see text). The coefficients a0 and b can be calculated by the linear regression of the pm Rheobase in a semi-logarithmic system of coordinates and a* as lnA* [mA] from the course of the regression curves--a0 = lnA0 [mA] at the beginning of the investigation and b [l/min] = gradient of the regression. The testing of the muscles flexor digiti V and flexor digitorum communis brevis, in particular, lead to the most exact results. By this method immediate results of hitherto unknown reliability can be achieved in estimating the time of death up to 15 h postmortem by statistical means of calculation. Changing temperatures, different causes of death, and other individual factors seem to be of no influence on the results so that collectives of known characteristics are not necessary for comparison.
我们最近报道了大鼠骨骼肌中死后间隔时间与对电刺激(基强度)的肌肉阈值的死后(pm)升高之间存在异常高的相关性。为了确定是否可以据此开发出一种可行的估计死亡时间的方法,我们研究了11名因各种原因死亡者的骨骼肌。肌肉用200V、时长1s的方形脉冲进行电刺激,强度范围为0.1至80mA。电极置于皮肤上。在人类肌肉中也发现电刺激的肌肉阈值与pm检查时间之间存在很强的相关性(平均r = 0.98),当A为初始阈值(基强度)且T为pm间隔时间时,可用公式Y(T)[mA] = AExp(b.T)来描述。对该方程求导会得到一条强线性回归曲线,最终可据此将死亡时间表示为(公式:见原文)。系数a0和b可通过在半对数坐标系统中对pm基强度进行线性回归来计算,而a可根据回归曲线的过程计算为lnA [mA]——a0 = lnA0 [mA](在研究开始时),b [l/min] = 回归的斜率。特别是对小指屈肌和指短屈肌的测试得出了最精确的结果。通过这种方法,利用统计学计算手段在估计死后长达15小时的死亡时间时可以获得迄今未知可靠性的即时结果。温度变化、不同的死亡原因以及其他个体因素似乎对结果没有影响,因此无需具有已知特征的群体进行比较。