Sri Rachandra Institute of HigherEducation And Research
Chennai, Tamil Nadu, 600116, India
NCT Number: NCT05199350
A study population with impaired fasting glucose levels, impaired glucose tolerance levels and diabetes (with or without complications) along with healthy patients will be chosen as participants. Their vital signs and their ECG (electrocardiograph) will be recorded during their only visit. Data analysis will be performed using the vital signs parameters. The RR intervals from the ECG will be analyzed by 5 different techniques to determine the best technique that stratifies the subjects the most accurately.
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Notify Me18 year–85 year
All sexes
Observational
Chennai, Tamil Nadu, 600116, India
The Autonomic Nervous System (ANS) is a fundamental part of the nervous system in the body. And yet, there is no technique to test or measure the health and functioning of a person's autonomic nervous system.This type of study will determine the most accurate methodology to test the autonomic nervous system through heart rate variability (HRV) monitoring and gain vital information to distinguish patient groups in the diabetic population.
There is no gold standard for measuring autonomic dysfunction. Currently the method of power spectral analysis is finding very wide usage. It Is known that power spectral analysis does not discriminate the two subsystems of the ANS well. There are other beat to beat methodologies that have not yet gained traction. The reason for conducting this trial is to take a group of subjects in various stages of impaired fasting glucose, impaired glucose tolerance and diabetes (with and without complications) and determine which methodology stratifies these subjects most accurately.
Our study aims to introduce a new measurement method named the 'Beat to Beat' (BB) method for gauging autonomic dysfunction in patients. The investigators hope to observe that the average beat to beat method (BB) score could help discriminating diabetic patients into the following five distinct groups from the pilot study:
By showing that this measurement bears no relationship to the other four vital signs parameters (heart rate, blood oxygenation, blood pressure, body temperature), it will prove the necessity of this measurement in addition to the four vital signs for distinguishing patient groups among the diabetic population.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Heart rate variability measurement and vital signs monitoring will be performed on all subjects.
Time frame: The measurement will happen in a single visit i.e 1 day.
The ANSiScope Plus will be used to determine the BB (beat to beat) score through heart rate variability measurements.
Time frame: The measurement will happen in a single visit i.e 1 day.
Investigate the importance of measuring the autonomic dysfunction in the presence of other vital signs measurements (heart rate, body temperature, blood oxygenation and blood pressure)
DyAnsys, Inc.
Industry
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