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Research

NADI TARANGINI • RESEARCH PAGE

Advancing Ayurveda with
Scientific Validation

10+ years • IIT Bombay • Peer-reviewed • Internationally patented
2,00,000+
Pulse Records
35+
Published Papers
2
International Patents
10,000+
Clinical Sessions
10+
Journals / Conferences
Nadi Tarangini research page

Bridging Tradition
with Technology

Nadi Tarangini is the outcome of a decade-long collaborative effort between Nadi-Vaidyas and research scientists from IIT Bombay.

Our goal is to translate the ancient science of Nadi Pariksha into an objective, data-driven diagnostic framework that meets modern clinical standards.

⚛
Science-backed
✓
Vaidya-approved
Clinical Validation
Timeline

A Decade of Innovation

Supporting both leading academic institutions and independent clinical practitioners.

2004

Research begins

The scientific journey began at IIT Bombay with pioneering research on digitizing Ayurvedic pulse diagnosis (Nadi Pariksha). The first research papers on the Nadi Tarangini concept were presented at the IEEE Engineering in Medicine and Biology Conference, establishing the foundation for evidence-based Digital Ayurveda.

2007

First publication

IEEE EMBC conference paper on pulse-based diagnostic system.

2015

Vision Takes Shape

Atreya Innovations was founded with the vision of developing a data science-driven, non-invasive predictive health monitoring platform inspired by Ayurveda.

2016

First Nadi Tarangini System

Nadi Tarangini, the world's first digital Nadi Pariksha device and mobile application, was launched with support from the IIT alumni network, marking the beginning of the commercialization journey.

2017

Scientific Validation

The technology was scientifically validated using more than 24,000 pulse data points, strengthening the evidence base for digital pulse diagnostics in Ayurveda.

2018

Early Clinical Adoption

The business model evolved to meet the needs of the Ayurveda ecosystem, and the platform crossed its first 100 clinics, demonstrating growing acceptance among Ayurvedic practitioners.

2019

Scaling Clinical Practice

The network expanded to over 250 clinics, while a comprehensive patient management system was developed through continuous collaboration with Ayurveda physicians.

2020

Machine Learning Integration

Advanced Machine Learning algorithms were introduced on a centralized data platform to enhance pulse signal analysis, and continuous capture was integrated.

2021

National Recognition

Nadi Tarangini surpassed 500 system deployments, received DSIR recognition from the Ministry of Science & Technology, won the National Startup Award (Health), and was featured by the Hon'ble Prime Minister of India in the 87th episode of Mann Ki Baat.

2022

Research & Quality Expansion

The company strengthened its technology leadership, signed a research collaboration with the All India Institute of Ayurveda (AIIA), secured ISO 13485:2016 certification, and raised seed funding to accelerate growth.

2023-24

Global innovation

Patents were granted in Europe, USA and Indonesia. Nadi Tarangini received IEC 60601-1 certification.

2025

AI-Powered Insights

Machine learning models were integrated directly into Nadi Tarangini reports, generating real-time Tridosha scoring and personalized insights from every pulse capture..

How we capture and interpret
Pulse Data

Data Capture
Sensor Placement
01

Sensor placement

The Nadi Tarangini device is positioned over the radial artery using its three ultra-sensitive patented pressure sensors, enabling simultaneous pulse acquisition in accordance with the Ayurveda principles of Nadi Pariksha.

02

Signal acquisition

The sensors convert subtle pulse movements into digital signals that accurately represent the characteristics of the pulse waveform.

Digital transmission
03

Digital transmission

The captured pulse data is processed using advanced Machine Learning algorithms and transmitted securely for further analysis.

Signal Interpretation
waveform analysis
01

Waveform analysis

Machine Learning algorithms analyze the recorded pulse waveforms to identify meaningful pulse patterns and generate Nadi graphs.

Parameter Calculation
02

Parameter calculation

The processed pulse data is used to generate comprehensive reports containing multiple Ayurvedic health parameters.

Dosha Mapping
03

Dosha mapping

Based on pulse analysis, the system evaluates Prakriti and Vikriti balance and provides personalized recommendations.

Sample Nadi pulse time series 10-second recording at 12-bit resolution

Frequency | Amplitude | Rhythm | Waveform Shape

How vata, pitta, kapha (VPK) is calculated

Vata

Sensor position

Index finger · Superficial depth

Waveform character

Irregular, thin, fast, light pulse

Key signals

High frequency variation, low amplitude, irregular rhythm

ML output

Vata dominance score

72 /100

Pitta

Sensor position

Middle finger · Medium depth

Waveform character

Sharp, strong, moderate speed

Key signals

High amplitude spikes, moderate frequency, strong rhythm

ML output

Pitta dominance score

63 /100

Kapha

Sensor position

Ring finger · Deep pressure

Waveform character

Slow, smooth, heavy, steady pulse

Key signals

Low frequency, high amplitude, very regular rhythm

ML output

Kapha dominance score

68 /100

How Guna is measured

Nadi Guna refers to the qualitative properties of the pulse signal beyond just Dosha balance.

01
Bala
(strength)
Bala

Vital force, strength, or amplitude of the pulse. Evaluated as Pravara (strong), Madhyama (moderate), or Avara (weak).

02
Digestive Fire
(Jatharagni / Agni)
Digestive Fire

Represents digestive and metabolic capacity. Assessed clinically by correlating Prakruti, Nadi Gati and key Gunas.

03
Gati
(movement)
Gati

Rhythm and flow pattern of pulse. Reflects movement of Tridoshas and pulse dynamics.

04
Nadi Guna
Nadi Guna

Describes the qualitative characteristics of the pulse perceived during Nadi Pariksha.

05
Thoughts /
Emotions
Thoughts

Reflects mental and emotional tendencies inferred through Ayurveda pulse assessment.

06
Proneness to
Stress
Proneness to Stress

Indicates susceptibility to physical and mental stress based on pulse characteristics.

What the research shows

Selected findings from 35+ peer-reviewed publications.

87% accuracy
Tridosha classification
IEEE EMBC validation study, 2007
92%
Diabetes risk prediction from nadi features
ScienceDirect pilot, 2017
2,00,000+
Pulse records in centralized database
Atreya Innovations, 2024
35+
Peer-reviewed publications
IEEE, ScienceDirect, Springer, Karger
22
Ayurvedic parameters measured per session
Including all Tridosha + Guna scores
2
International patents granted
Europe (2014) + Indonesia (2016)

“Something our results confirm: machine learning models trained on Nadi pulse time series can reliably identify Tridosha imbalances with clinical-grade accuracy, bridging 5,000 years of Ayurveda wisdom with modern data science.”

Research Ecosystem

Supporting both leading academic institutions and independent clinical practitioners.

Institutional Research
2020

AIIMS

Prakriti & oncology

Used device to assess Prakriti in cancer treatment protocols.

Oncology
2021

Pune Univ.

Yoga and nadi correlation

Studied effect of yoga program on VPK balance scores in healthy adults.

Yoga
2022

NIT Surathkal

Deep learning on Nadi signals

Applied CNN architecture to raw Nadi time series.

AI / Machine Learning
2023

Sri Dharmasthala

Rural diabetes screening

Community screening study using Nadi Tarangini.

Diabetes
Individual Research
2022

Dr. Manoj K.

Panchakarma VPK shifts

Tracked daily physiological shifts in patients undergoing Virechana therapy.

Panchakarma
2023

Dr. Priya R.

Prakriti diet compliance

Monitored compliance and pulse amplitude improvements.

Nutrition
2024

Dr. Amit S.

Stress management & PRV

Evaluated efficacy of Shirodhara therapy on pulse variability.

Mental Wellness

Research library

Supporting both leading academic institutions and independent clinical practitioners.

Ready to experience science-backed
Nadi diagnosis?

Join thousands of practitioners and researchers using Nadi Tarangini to bridge Ayurveda with modern medicine.

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