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This limits the effectiveness of collectd as an autonomic tool and necessitates a human or an external service provide this configuration.
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In a subset of patients we will explore the feasibility of measuring autonomic responses as a tool to assess the presence of pain.
Moreover, the validity of HRV as a tool to interrogate autonomic function is increasingly under physiological scrutiny [12, 13], since a strong correlation between HRV and morbidity/mortality appears to be largely attributable to incident heart rate.
The low (LF) vs. high (HF) frequency energy ratio, computed from the spectral decomposition of heart beat intervals, has become a major tool in cardiac autonomic system control and sympatho vagal balance studies.
It is a noninvasive and valuable tool to characterize autonomic function and cardiorespiratory interaction [ 10].
The heart rate (HR) responses after performance of the squatting and standing manoeuvre are thought to be a useful tool to assess autonomic neuropathy in diabetics.
Due to the rapid advances of computer-based science, HRV analysis is becoming a useful non-invasive clinical tool to study autonomic nervous system performance.
HRV is a commonly used tool for assessing autonomic function of the heart [ 3], as well as stress [ 4, 35] and fatigue [ 36].
Heart-rate variability (HRV), a noninvasive tool to characterize autonomic function and cardiorespiratory interaction, may be a promising modality to assess patient capability during the weaning process.
The value of HRV as a tool for investigating autonomic function was also evaluated by Carpeggiani and colleagues [ 16], who showed that the LF spectral component has independent prognostic value early after acute myocardial infarction to predict in-hospital complications.
These changes are only detected using spectral analysis of HRV (a simple test based on a 5-min electrocardiogram recording), suggesting that it is a more sensitive tool to detect autonomic dysfunction, which is still under-detected in people with diabetes.
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