Wiens S, Palmer S N
State University of New York at Stony Brook, Stony Brook, NY, USA.
Biol Psychol. 2001 Nov;58(2):159-75. doi: 10.1016/s0301-0511(01)00110-7.
In heartbeat detection tasks based on the Method of Constant Stimuli (MCS), subjects judge the simultaneity between their heartbeats and stimuli presented at six intervals ranging from 0 to 500 ms after the R-waves on an electrocardiogram. Because research suggests that subjects do not perceive stimuli at 0 or 500 ms as simultaneous, individual performance was indexed with quadratic trend analysis to test for distributions of simultaneity judgments across intervals that peak between 0 and 500 ms. Further, because some tasks use only two intervals, performance was also indexed using intervals of either 0 and 200 ms or 200 and 500 ms. Continuous performance scores from quadratic trend and two-interval analysis tended to correlate more highly with variables previously shown to correlate with heartbeat detection than scores from the commonly-used chi(2) analysis. These findings support the use of both quadratic trend analysis and two-interval tasks for assessing heartbeat detection ability.
在基于恒定刺激法(MCS)的心跳检测任务中,受试者需判断其心跳与心电图R波后0至500毫秒六个时间间隔呈现的刺激之间的同时性。由于研究表明受试者不会将0或500毫秒时的刺激视为同时发生,因此采用二次趋势分析对个体表现进行指标化,以测试同时性判断在0至500毫秒之间达到峰值的时间间隔分布情况。此外,由于一些任务仅使用两个时间间隔,所以也使用0至200毫秒或200至500毫秒的时间间隔来指标化表现。与常用的卡方分析得分相比,二次趋势分析和双间隔分析得出的连续表现得分与先前显示与心跳检测相关的变量之间的相关性往往更高。这些发现支持使用二次趋势分析和双间隔任务来评估心跳检测能力。