Arterial stiffness (AS) is the term used to describe the absence of arterial elasticity. The purpose of this study is to examine the effectiveness of using non-invasive photoplethysmogram (PPG) waveform characteristics to identify changes in arterial stiffness caused by type-2 diabetes mellitus (DM-2). A total of 162 elderly and middle-aged subjects were selected, comprising 80 healthy groups (Group 1) and 82 with DM-2 (Group 2). Demographic (age), hemodynamic (systolic (SBP) and diastolic blood pressure (DBP)), and anthropometric (weight, height, and body mass index) parameters were acquired. A total of eight waveform-based time domain features including second derivative-based features obtained from a 2.1 s PPG signal. The current study’s findings revealed that in terms of the detection of AS the crest time ratio (CTR), and b2/a2 ratio feature (second derivative of PPG-based feature) could segregate those with DM-2 from those without DM-2, as evidenced by statistically significant differences (p < 0.05) in both groups and their significant correlation with age and other demographic parameters. The results could demonstrate its superior sensitivity to subtle arterial stiffness compared to other PPG waveform-related features.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Assessment of Arterial Stiffness in Type-2 Diabetes Using Photoplethysmogram Signals

  • Bhanupriya Mishra,
  • Neelam Shobha Nirala

摘要

Arterial stiffness (AS) is the term used to describe the absence of arterial elasticity. The purpose of this study is to examine the effectiveness of using non-invasive photoplethysmogram (PPG) waveform characteristics to identify changes in arterial stiffness caused by type-2 diabetes mellitus (DM-2). A total of 162 elderly and middle-aged subjects were selected, comprising 80 healthy groups (Group 1) and 82 with DM-2 (Group 2). Demographic (age), hemodynamic (systolic (SBP) and diastolic blood pressure (DBP)), and anthropometric (weight, height, and body mass index) parameters were acquired. A total of eight waveform-based time domain features including second derivative-based features obtained from a 2.1 s PPG signal. The current study’s findings revealed that in terms of the detection of AS the crest time ratio (CTR), and b2/a2 ratio feature (second derivative of PPG-based feature) could segregate those with DM-2 from those without DM-2, as evidenced by statistically significant differences (p < 0.05) in both groups and their significant correlation with age and other demographic parameters. The results could demonstrate its superior sensitivity to subtle arterial stiffness compared to other PPG waveform-related features.