Key result
Heart rate variability analysis provides valuable clinical information regarding autonomic nervous system functioning and serves as a useful noninvasive marker for stress detection.
Heart rate variability is a key non-invasive indicator of autonomic nervous system function with significant applications in stress detection and early disease diagnosis.
May inform ANS assessment for clinicians via HRV; leaves open prospective validation before routine adoption.
Information about the health can be obtained by measuring various physiological parameters such as Heart Rate, Heart Rate Variability (HRV), Nerve conduction, brain activity, blood oxygen saturation level etc. The useful information resulted from the systematic analysis of these physical parameters are helpful for clinicians to make better decisions. HRV reflects the state of the Autonomic Nervous System (ANS) defined as the variance in the time between successive heartbeats expressed in milliseconds. The various factors that affects HRV are diet, nutrition, age, alcohol, gender, cardiac rhythm, sleep habits, genetics etc. The analysis of HRV is helpful in stress assessment and also in identifying the diseases at the early stage. This paper discusses the fundamentals of HRV, analysis of HRV, and the role of HRV in stress detection.
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India, et al. (2021) conducted a review in Stress and Autonomic Nervous System dysfunction. Heart Rate Variability (HRV) analysis was evaluated. Heart rate variability analysis provides valuable clinical information regarding autonomic nervous system functioning and serves as a useful noninvasive marker for stress detection.
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