Seismocardiography (SCG) is the measurement of vibrations in the sternum caused by the beating of the heart. Precise cardiac mechanical timings that are easily obtained from SCG are critically dependent on accurate identification of fiducial points. So far, SCG annotation has relied on concurrent ECG measurements. An algorithm capable of annotating SCG without the use any other concurrent measurement was designed. We subjected 18 participants to graded lower body negative pressure. We collected ECG and SCG, obtained R peaks from the former, and annotated the latter by hand, using these identified peaks. We also annotated the SCG automatically. We compared the isovolumic moment timings obtained by hand to those obtained using our algorithm. Mean ± confidence interval of the percentage of accurately annotated cardiac cycles were ± 97.2 3.7%, ± 93.0 4.6%, ± 76.9 14.9%, ± 61.6 17.2%, and ± 65.0 14.0% for levels of negative pressure 0, −20, −30, −40, and −50 mmHg. LF/HF ratios, the relative power of low-frequency variations to high-frequency variations in heart beat intervals, obtained from isovolumic moments were also compared to those obtained from R peaks. The mean differences ± confidence interval were ± 0.16 0.18, − ± 0.04 0.46, ± 1.02 0.70, ± 1.22 0.61, and ± 2.31 1.09 for increasing levels of negative pressure. The accuracy and consistency of the algorithm enables the use of SCG as a standalone heart monitoring tool in healthy individuals at rest, and could serve as a basis for an eventual application in pathological cases.