Amit Soni

@acsir.res.in

Project Associate
CSIR national physical laboratory

Amit Soni

EDUCATION

I am Amit Soni, a PhD researcher focused on designing and developing low-cost, non-invasive blood pressure monitoring devices. With a background in Physics (BSc and MSc), I have extensive experience in embedded system design, AI solutions, and digital signal processing. My expertise includes working with Raspberry Pi, Arduino, LabVIEW, and various electronics design tools such as LTspice, ADS, and EAGLE. Currently, I am a Project Associate at CSIR-National Physical Laboratory, where I am involved in the fabrication of sphygmomanometer testing kits. I am proficient in Python and C++ and have a strong interest in automation, AI, and embedded electronics. Outside of work, I enjoy exploring new places, trekking, and playing football.

RESEARCH, TEACHING, or OTHER INTERESTS

Instrumentation, Electrical and Electronic Engineering, Artificial Intelligence, Signal Processing
4

Scopus Publications

45

Scholar Citations

3

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Novel Flexible Organic Photoplethysmogram Sensor for Continuous Cardiovascular Monitoring
    Shubham Kumar, Rashi Kedia, Arti Bisht, Amit Soni, Ruchi K. Sharma, Sanjay Yadav, Asit Patra, Sanjay K. Srivastava, Ashok Kumar
    ACS Sensors, 2025
    A flexible organic photodetector (OPD) has been developed for a flexible organic photoplethysmography sensor (FOPS) designed to monitor vital cardiovascular parameters such as pulse rate, respiratory rate, blood pressure, and pulse rate variability. This device is fabricated on a flexible substrate, utilizing a blend of PCDTBT and PC71BM as the active layer. The FOPS demonstrates excellent absorption properties across the visible spectrum, which is essential for capturing high-quality arterial pulse signals, known as photoplethysmogram (PPG). Optoelectronic characterization revealed a high response time and an impressive on/off current ratio, enabling the accurate detection of microfeatures within the PPG signal. We successfully utilized the device to monitor PPG signals in both reflection and transmission modes, employing green (530 nm) and red (630 nm) light sources, respectively. The recorded PPG signals were further analyzed to measure cardiovascular parameters. The device also demonstrates the ability to measure blood pressure using two techniques: a cuff-based method in conjunction with the oscillometric waveform (OMW) and a cuff-less technique utilizing an artificial neural network approach. These results highlight the FOPS's potential for integration into wearable medical technology, offering continuous, real-time cardiovascular monitoring in a user-friendly and noninvasive manner.
  • Development of an Innovative Algorithm for Accurate Measurement of Human Blood Pressure
    Amit Soni, Shubham Kumar, Ashok Kumar
    Mapan Journal of Metrology Society of India, 2024
  • Noninvasive Blood Pressure Monitoring via a Flexible and Wearable Piezoresistive Sensor
    Bijender, Shubham Kumar, Amit Soni, Rimjhim Yadav, Surinder P. Singh, Ashok Kumar
    ACS Omega, 2024
    In the present global context, continuous blood pressure (BP) monitoring is paramount in addressing the global mortality rates attributed to hypertension. Achieving precise insights into the human cardiovascular system necessitates accurate measurement of BP, and the accuracy depends on the faithful recording of oscillations or pulsations. This task ultimately depends on the caliber of the pressure sensor embedded in the BP device. In this context, we have fabricated a flexible resistive pressure sensor based on reduced graphene oxide (rGO) and a polydimethylsiloxane (PDMS) sponge that is highly flexible and sensitive. The designed device operates effectively with a minimal bias voltage of 500 mV, at which point it showed its maximum relative change in current, reaching approximately 25%. Additionally, the sensing device showed a notable change in resistance values, exhibiting almost 100% change in resistance when subjected to a pressure of 400 mmHg and high sensitivity of 0.27 mmHg–1. After promising outcomes were obtained during static pressure measurement, the sensor was used for BP monitoring in humans. The sensor accurately traced the oscillometric waveform (OMW) for distinct systolic blood pressure (SBP) and diastolic blood pressure (DBP) combinations to cover a range of medical situations, including hypotension, standard or normal, and hypertension. The values of SBP, DBP, and MAP were derived from the sensor’s output using the MAA technique, and the errors in these values concerning the simulator and the traditional BP monitor follow the universal AAMI/ESH/ISO protocols. Bland-Altman (B&A) correlation and scatter plots were used to compare the sensor’s results and further validate the proposed sensor. The sensor showed the mean and standard deviation error in the SBP, DBP, and MBP of −0.2 ± 5.9, −0.5 ± 7, and −0.9 ± 4.7 mmHg when compared with the noninvasive blood pressure (NIBP) simulator. The pulse rate (PR) was also calculated from the same OMW for the specified value of 80 beats per minute (bpm) given by the simulator and reported a mean PR value of ∼81 bpm, close to the reference value. The findings show that the flexible resistive sensing device can accurately measure BP and replace the existing sensors of BP devices.
  • Evaluation of blood pressure using a flexible and wearable capacitive pressure sensor
    Bijender, Shubham Kumar, Amit Soni, Ashok Kumar
    Rsc Advances, 2023
    Performance of developed flexible and wearable sensor in static pressure measurement and in monitoring of human blood pressure (BP).

RECENT SCHOLAR PUBLICATIONS

  • Novel Flexible Organic Photoplethysmogram Sensor for Continuous Cardiovascular Monitoring
    S Kumar, R Kedia, A Bisht, A Soni, RK Sharma, S Yadav, A Patra, ...
    ACS sensors 10 (6), 4297-4306 , 2025
    2025
    Citations: 10
  • Effects of extrinsic parameters on superconducting nanowire single-photon detector output–A study towards developing read-out circuit
    A Soni, AM Bhargav, P Pratap, VN Singh
    Physica C: Superconductivity and its Applications 632, 1354689 , 2025
    2025
  • Development of an Innovative Algorithm for Accurate Measurement of Human Blood Pressure
    A Soni, S Kumar, A Kumar
    MAPAN 39 (2), 253-260 , 2024
    2024
  • Noninvasive blood pressure monitoring via a flexible and wearable piezoresistive sensor
    Bijender, S Kumar, A Soni, R Yadav, SP Singh, A Kumar
    ACS omega 9 (6), 6355-6365 , 2024
    2024
    Citations: 19
  • Evaluation of primary hemodynamic parameters using in-house developed flexible microstructured pressure sensor
    S Kumar, A Soni, S Yadav, A Kumar
    Biomedical Engineering Advances 6, 100100 , 2023
    2023
    Citations: 3
  • Evaluation of blood pressure using a flexible and wearable capacitive pressure sensor
    S Kumar, A Soni, A Kumar
    RSC advances 13 (50), 35397-35407 , 2023
    2023
    Citations: 13

MOST CITED SCHOLAR PUBLICATIONS

  • Noninvasive blood pressure monitoring via a flexible and wearable piezoresistive sensor
    Bijender, S Kumar, A Soni, R Yadav, SP Singh, A Kumar
    ACS omega 9 (6), 6355-6365 , 2024
    2024
    Citations: 19
  • Evaluation of blood pressure using a flexible and wearable capacitive pressure sensor
    S Kumar, A Soni, A Kumar
    RSC advances 13 (50), 35397-35407 , 2023
    2023
    Citations: 13
  • Novel Flexible Organic Photoplethysmogram Sensor for Continuous Cardiovascular Monitoring
    S Kumar, R Kedia, A Bisht, A Soni, RK Sharma, S Yadav, A Patra, ...
    ACS sensors 10 (6), 4297-4306 , 2025
    2025
    Citations: 10
  • Evaluation of primary hemodynamic parameters using in-house developed flexible microstructured pressure sensor
    S Kumar, A Soni, S Yadav, A Kumar
    Biomedical Engineering Advances 6, 100100 , 2023
    2023
    Citations: 3
  • Effects of extrinsic parameters on superconducting nanowire single-photon detector output–A study towards developing read-out circuit
    A Soni, AM Bhargav, P Pratap, VN Singh
    Physica C: Superconductivity and its Applications 632, 1354689 , 2025
    2025
  • Development of an Innovative Algorithm for Accurate Measurement of Human Blood Pressure
    A Soni, S Kumar, A Kumar
    MAPAN 39 (2), 253-260 , 2024
    2024