NON-INVASIVE DEVICE NADI TARANGINI USEFUL FOR QUANTITAVE DETECTION OF ARTERIAL NADI PULSE WAVEFORM

• US 20100152594A1
• Filed: 08/07/2008
• Published: 06/17/2010
• Est. Priority Date: 08/07/2007
• Status: Abandoned Application

• Current Assignee: Anand Kulkarni, Aniruddha Joshi, Ashok Bhat, Bhaskar Kulkarni, Sharat Chandran, Valadi Jayaraman
• Original Assignee: Anand Kulkarni, Aniruddha Joshi, Ashok Bhat, Bhaskar Kulkarni, Sharat Chandran, Valadi Jayaraman
• Inventors: Joshi, Aniruddha, Bhat, Ashok, Kulkarni, Anand, Jayaraman, Valadi, Kulkarni, Bhaskar, Chandran, Sharat
• Application Number:
  US12/733,153
• Publication Number:
  US 20100152594A1
• Time in Patent Office: Days
• US Class Current: 600/501
• CPC Class Codes: A61B 2560/045 with a separable interface unit, e.g. for communication
• CPC Class Codes: A61B 2562/0247 Pressure sensors
• CPC Class Codes: A61B 2562/043 in a linear array
• CPC Class Codes: A61B 2562/046 in a matrix array
• CPC Class Codes: A61B 2562/164 the sensor is mounted in or on a conformable substrate or carrier
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/02116 of pulse wave amplitude A61B5/02225 takes precedence
• CPC Class Codes: A61B 5/4854 Diagnosis based on concepts of traditional oriental medicine
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6844 Monitoring or controlling distance between sensor and tissue
• CPC Class Codes: A61B 5/6886 Monitoring or controlling distance between sensor and tissue
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/726 using Wavelet transforms

Abstract

The present invention discloses the procedure for obtaining complete spectrum of the Nadi pulses, as a time series and capable of detecting the major types and the subtypes of the Nadi pulses. The device of this invention involves three diaphragm elements equipped with strain gauge, three transmitters cum amplifiers, and a digitizer for quantifying analog signal. The system acquires the data with 12-bit accuracy with practically no electronic and/or external interfering noise. The pertaining proofs are given which clearly shows the capability of delivering the accurate spectrums, with repeatability of the pulses from the invented system. ‘Nadi-Nidan’ is a prominent method in Ayurveda (Ayurveda is a Sanskrit word derived from ‘Ayus’ and ‘vid’, meaning life and knowledge respectively. It is a holistic science encompassing mental, physical and spiritual health), which is known to dictate all the salient features of a human body. Nadi-Nidan is a specialty of ‘Vaidyas’ (Ayurvedic physicians) and hence the present system would enable the diagnosis accurately, quantitatively and independent of any human errors.

Claims

1. A non-invasive device Nadi Tarangini, useful for quantitative detection of arterial ‘

nadi’

pulse waveform, wherein the said assembly comprising;

[a] at least one strip of neoprene [5 in FIG. 3] provided with at least three holes at three predetermined points [6, 7, 8 in FIG. 1];

[b] at least three circuits of diaphragm based pressure sensors [1 in FIG. 2] placed side by side at said at least three predetermined points on said strip of neoprene for sensing the ‘

nadi’

pulses;

[c] said holes [3 in FIG. 3] having size smaller than the sensors such that each sensor just rests on the sheet covering its respective hole so as to introduce air gaps between sensors and the patient'"'"'s skin having thickness in the range of 1 to 5 mm for capturing the arterial pulsations;

[d] providing at least one transducer [1 in FIG. 2] coupled with each of the said pressure sensor provided above along with a DC power source [4 in FIG. 4] for converting the pressure signal into an equivalent electrical signal;

[e] connecting at least one digitizer [5 in FIG. 4] for converting the electrical signal obtained in step [d] above into digital form, using at least one Analog to Digital Converter (ADC) [5 in FIG. 4], along with a shielding arrangement [7 in FIG. 5] for minimizing the noise;

[f] providing a computing device [7 in FIG. 2] connected to the said digitizer for obtaining the visual display of the pulse pressure waveform.

2. A device according to claim 1, wherein the circuit of the diaphragm based pressure sensor comprising:

i. wheatstone bridge [1 in FIG. 5] for receiving the constant excitation voltage from reference voltage generator [9 in FIG. 5] through the connecting bus [7 in FIG. 5];

ii. amplifiers corresponding to the numbers of transducers used [1 in FIG. 4] for amplifying the output;

iii. a base [4 in FIG. 5] of the NPN-type transistor,

iv. an emitter terminal [8 in FIG. 5] proportional to the amplified pressure signal from the bridge for obtaining the output;

v. a diode or resistor [6 in FIG. 5] allowing unidirectional current flow for converting current output into voltage, which goes for digitization;

vi. connecting wires [7 in FIG. 5] being property shielded and grounded to eliminate external interference and noise.

3. A device according to claim 1, wherein the variable resistor of the Wheatstone bridge is capable of recognizing the pressure changes at ‘

nadi’

pulses.

4. A device according to claim 1, being capable of detecting arterial pulse pressure in the range of (−

) 0.00124 Pa to (+) 0.00124 Pa.

5. A device according to claim 1, wherein the pressure at the sensors is in the range of 7.5 to 13 cm H₂O pressure for capturing accurate pressure readings.

6. A device according to claim 1, wherein the three sensing elements are mounted exactly on the three holes made [4 in FIG. 3] in a neoprene sheet to Introduce three air gaps between the three sensors and the patient'"'"'s skin so as to capture the tiny pressure very accurately at the three predetermined locations on wrist.

7. A device according to claim 1, wherein the thickness of neoprene sheet used is in the range of 1 to 5 mm.

8. A device according to claim 1, wherein the computing device is preferably a computer having storage and at least one USB port.

9. A device according to claim 1, wherein the waveform produced comprises domain features of percussion wave, tidal wave, valley and dicrotic wave.

10. A method for quantitative detection of arterial nadi pulse waveform of an individual, using the device Nadi Tarangini according to claim 1, wherein the said method comprises the steps of capturing the arterial pulse, pressure with the help of diaphragm based pressure, sensors mounted on the neoprene strip with three holes to introduce air gaps, by placing the said device at predetermined position for at least up to 60 seconds followed by converting the pressure signal in to electrical signal with the help of transducers and then in to digital form with the help of analog to digital converter, acquiring and recording thus obtained data forming complete noiseless nadi waveform, characterized by typical physiological properties selected from the group comprising pulse rate, self-similar nature, chaotic nature, average pulse behavior and identifying the possible disorders in a user.

11. A method according to claim 10, wherein the type of nadi is selected from the group consisting of Sukshma, Tikshna, Kathina and Sama, and their combinations thereof, wherein the pressure points of the user are vats, pitta and kapha.

12. A method according to claim 10, wherein the sub-type of nadi is selected from the group consisting of Manda and Vegavati, wherein the pressure points of the user are vata, pitta and kapha.

then interpreting the results obtained for identifying the types and sub-types of nadi and also

13. A method according to claim 10, wherein the peaks include both main and secondary types and vary with the changes on different parameters.

14. A method according to claim 10, wherein the pulse rate is quantitatively computed from the Fourier spectrum of the pulse.

15. A method according to claim 10, wherein the average pulse behavior is captured using Pitch Synchronous Wavelet Transform, wherein the wavelet coefficients being capable of extracting the average values of the pulse to capture the essence of the whole data series.

16. A method according to claim 10, wherein the self-similar nature of the waveform is determined by multifractal spectrum being capable of distinguishing various pulse patterns of different age groups of users.

17. A method according to claim 10, wherein the variations between consecutive pulse beats are captured by Pulse Rate Variability, to capture the arrhythmic behavior present in the pulse.

18. A method according to claim 10, wherein the chaotic properties in the pulse data are captured in terms of descriptors from Recurrence Plot to describe large and small-scale structures to detect disorders including fever.