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Differences in the Skin‐Surface Laser Doppler Signals Between Polycystic Ovary Syndrome and Normal Subjects
Author(s) -
Hsiu Hsin,
Hsu WeiChen,
Wu YiFan,
Hsu ChiaLiang,
Chen ChihYu
Publication year - 2014
Publication title -
microcirculation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.793
H-Index - 83
eISSN - 1549-8719
pISSN - 1073-9688
DOI - 10.1111/micc.12095
Subject(s) - laser doppler velocimetry , heartbeat , medicine , polycystic ovary , spectral analysis , cardiology , beat (acoustics) , perfusion , blood flow , acoustics , physics , computer science , insulin resistance , computer security , quantum mechanics , spectroscopy , insulin
Background Women with PCOS may present abnormal hemodynamic alterations and thus may develop vascular damage. This study performed LDF measurements on the skin surface around the leg to verify if beat‐to‐beat waveform and spectral analysis can help to discriminate the MBF characteristics between PCOS and healthy subjects. Methods ECG and LDF signals were obtained noninvasively in PCOS ( n = 16) and control ( n = 8) subjects. Beat‐to‐beat waveform and spectral analysis was performed on the LDF signals to obtain the AD , FDT , FRT , and REC of five frequency bands. Results FRT was significantly larger, AD was significantly smaller, REC of the myogenic‐related band was significantly smaller and REC of the heartbeat‐related band was significantly larger in the PCOS than in the control subjects. Conclusion This study is the first to reveal that time‐domain waveform and spectral analysis performed on skin‐surface LDF signals can be used to discriminate the differences in the MBF perfusion condition and the microcirculatory regulatory activities at local vascular beds between PCOS and healthy subjects. These findings may aid the noninvasive early detection of PCOS ‐induced vascular damage.