Optical instrument for correlative analysis of human ECG and breathing signal

Sundhararajan, M.

doi:10.1504/ijbet.2011.041773

Cited by 9 publications

(6 citation statements)

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“…Measurement of HRV through 24-h Holter monitoring would help to understand this better. Direct measurement of sympathetic activity like measurement of peripheral arterial resistance, Galvanic Skin Resistance (GSR), and optical sensors would have given better understanding of the state of the sympathetic nervous system,[ 22 ]. Other factors influencing cardiac ANS like measurement of baroreflex sensitivity through beat-to-beat BP measurement should also be investigated, as should cardiac stress markers like catecholamine assay and steroid and rennin levels, both of which influence HRV.…”

Section: Discussionmentioning

confidence: 99%

Measurement of the effect of Isha Yoga on cardiac autonomic nervous system using short-term heart rate variability

Muralikrishnan¹,

Balakrishnan²,

Balasubramanian³

et al. 2012

J Ayurveda Integr Med

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Background:Beneficial effects of Yoga have been postulated to be due to modulation of the autonomic nervous system.Objective:To assess the effect of Isha Yoga practices on cardiovascular autonomic nervous system through short-term heart rate variability (HRV).Design of the Study:Short-term HRV of long-term regular healthy 14 (12 males and 2 females) Isha Yoga practitioners was compared with that of age- and gender-matched 14 (12 males and 2 females) non-Yoga practitioners.Methods and Materials:ECG Lead II and respiratory movements were recorded in both groups using Polyrite during supine rest for 5 min and controlled deep breathing for 1 minute. Frequency domain analysis [RR interval is the mean of distance between subsequent R wave peaks in ECG], low frequency (LF) power, high frequency (HF) power, LF normalized units (nu), HF nu, LF/HF ratio] and time domain analysis [Standard Deviation of normal to normal interval (SDNN), square of mean squared difference of successive normal to normal intervals (RMSSD), normal to normal intervals which are differing by 50 ms (NN50), and percentage of NN50 (pNN50)] of HRV variables were analyzed for supine rest. Time domain analysis was recorded for deep breathing.Results:Results showed statistically significant differences between Isha Yoga practitioners and controls in both frequency and time domain analyses of HRV indices, with no difference in resting heart rate between the groups.Conclusions:Practitioners of Isha Yoga showed well-balanced beneficial activity of vagal efferents, an overall increased HRV, and sympathovagal balance, compared to non-Yoga practitioners during supine rest and deep breathing.

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Section: Discussionmentioning

confidence: 99%

Measurement of the effect of Isha Yoga on cardiac autonomic nervous system using short-term heart rate variability

Muralikrishnan¹,

Balakrishnan²,

Balasubramanian³

et al. 2012

J Ayurveda Integr Med

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“…PPG can be used in study of neurologically induced skin perfusion changes, asymmetry of brain etc. are provided [1].…”

Section: Photoplethysmographmentioning

confidence: 99%

Acquisition of PPG signal for diagnosis of parameters related to heart

Laulkar¹,

Daimiwal²

2012

2012 1st International Symposium on Physics and Technology of Sensors (ISPTS-1)

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Optical sensors that use photons as sensing elements are increasingly becoming important and relevant in the field of non-invasive diagnostics. The reason is that they are simple in construction, easy to use and relatively inexpensive in comparison with tools such as EEG, MRI and FMRI that can be used for research purposes without much investment. Among the various optical sensors available, the photoplethysmographic sensors that are capable of measuring the blood volumetric changes in subcutaneous vessels are used in present study. Objective is to diagnose different parameters like heart rate, blood pressure, respiratory rate, with the help of reflectance type PPG sensor. Real time PPG signal is captured from the sensor and with the help of microcontroller and RS 232 serial communication, the real time acquisition of PPG signal is observed on MATLAB. Detailed analysis of frequency spectrum of PPG signal shows a cardiac peak around 1Hz corresponding to 60 pulsations a minute and respiratory peak around 0.25 Hz corresponding to 15 inspiration/expiration cycles per minute. After the analysis of PPG signal, all the parameters are calculated and with the help of graphic user interface (GUI), all the parameters can simultaneously be seen on GUI window.

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“…The plethysmography produces a waveform similar to the arterial pressure waveform. [1][2][3] The relative blood volume changes in the blood vessels close to the skin are measured by a non invasive optical method known as photoplethysmography. The measurement of blood volumetric changes in the skin perfusion by means of PPG depends on the fact that blood absorbs infrared light many times more strongly than the remaining skin tissues.…”

Section: Introductionmentioning

confidence: 99%

“…The measurement of blood volumetric changes in the skin perfusion by means of PPG depends on the fact that blood absorbs infrared light many times more strongly than the remaining skin tissues. [1][2][3] There are different types of Plethysmographs:…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of LDR and OPT 101 detectors in reflectance type PPG sensor

Daimiwal

Sundhararajan²,

Shriram

2014

2014 International Conference on Communication and Signal Processing

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Detection of blood volume change in the skin by using Photo plethysmogram (PPG) sensor is based on the principle that hemoglobin in the blood absorbs infrared light than the other tissue. Favorable optical window is around 990nm range. The reflectance type photoplethysmographic sensor is designed using two different detectors. Objective is to compare the response of PPG sensor by using Light Dependent resistors (LDR) and OPTlOI as a detector. Signal is recorded by placing the sensor on a finger tip for wavelength ranging from visible to near IR (400 to 1000 nm) range. It is observed that the PPG signal captured using LDR is around 660 nm wavelength but for the OPTI0l response is 500 nm to 1000 nm. That is OPT 101 can be used to capture PPG in visible and infrared region. Brain mapping using optical sensor OPTI0l is preferable for the measurement of blood volume and blood flow. For source of 660 nm, LDR or OPT 101 can be used to detect the peripheral pulse. LDR is not suitable for the measurement in infrared range.

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Optical instrument for correlative analysis of human ECG and breathing signal

Cited by 9 publications

References 0 publications

Measurement of the effect of Isha Yoga on cardiac autonomic nervous system using short-term heart rate variability

Measurement of the effect of Isha Yoga on cardiac autonomic nervous system using short-term heart rate variability

Acquisition of PPG signal for diagnosis of parameters related to heart

Comparative analysis of LDR and OPT 101 detectors in reflectance type PPG sensor

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