Design and analysis of proof mass based micro sensor for early detection of Parkinson’s disease

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    Micro Electro Mechanical System (MEMS) is the promising technology in bio-medical engineering which reduces the cost, sensitivity and accuracy of the devices. A Novel structure is proposed using MEMS technology in this paper. The structure comprises of a proof mass which is movable and four arms or limbs with a torus of 900 revolution angle. The four edges of the torus are fixed. A fixed plate is kept on the top of the proof mass to measure the capacitance and output voltage of the proposed MEMS sensor. The sensor is designed for a value of 0.4g to 0.8g. The simulated values are correlated with the theoretical values. The proposed design accurately measures tremor frequency which is in the range of 4Hz to 7Hz. The proof mass in the structure moves up and down when the device is attached to finger tip of the patient because the resting tremor or pill rolling tremor is the preliminary and basic detection symptom of Parkinson’s disease. When the structure is connected to fingertip, variation in Eigen Frequency, output voltage and capacitance is measured. An amplifier is designed with a gain of 103dB and verified with the voltage so obtained from the output of the proposed sensor is 100 milli volts. There is a variation of 5% change in capacitance from theoretical to simulated values. Similarly, 8% variation in voltage. The displacement sensitivity is increased by 10%. The design is simulated using FEM tool COMSOL Multiphysics.


  • Keywords


    MEMS, Parkinson’s Disease, frequency, tremor,Eigen Frequency,Amplifier.

  • References


      [1] “MEMS and Microsystems: design , manufacture, and nanoscale engineering,” 2nd Edition, by Tai-Ran Hsu, John Wiley & Sons, Inc., Hoboken, New Jersey, 2008 (ISBN 978-0-470-08301-7)

      [2] Murthy K.S.N. et,al Design and simulation of MEMS bio sensor for the detection of Tuberculosis, International Journal of Science and Technology,2015,April,9(31):1-5.

      [3] Jasti Sateesh et.al Design of MEMS bio sensor for Glucose Measurement, Journal of MEMS and Mechanics, 2015, April10(5):83-89.

      [4] GRKPrasadet.al.AReviewonTechniquesfor Diagnosing and Monitoring Patients with Parkinson’s Disease Journal of Biosensors &Bioelectronics,2016,Vol:7(2).

      [5] GRK Prasad et.al “Micro Electro Mechanical System Based Sensor For Early DetectionOf Parkinson’s Disease – Design And Simulation”,IntJ Pharm BioSci2017Jan; 8(1):(B)390–395.

      [6] Hossein Pakdast,Triple coupled cantilever systems for mass detection and localization, Sensors and Actuators A: 2012 March 31,175: Pages 127–131

      [7] N Siddaiah N, koti Reddy DR, Prasad GR, Pakdast H, BabuPS. optical and dielectric force gradient actuation schemes for excitation of triple coupled micro cantilever sensor in mass sensing applications, ARPN journalof Engineering and Applied Sciences,2015,May,10(8),3275-3279J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68-73

      [8] Ramaker C, Marinus J, Stiggelbout AM, van Hilten BJ.Systematic evaluation of rating scales for impairment and disability in Parkinson's disease. Movement Disorders. 2002 Sep,1;17(5):867-76.

      [9] Patel S, Lorincz K, Hughes R, Huggins N,GrowdonJ,StandaertD,Akay M,Dy J,WelshM, Bonato P. Monitoring motor fluctuations in patients with Parkinson's disease using wearable sensors.IEEE Transactions On Information Technology In Biomedicine.2009Nov;13(6):864-73.

      [10] Paul Pyzowski “Mems Applications For Treatment Of Nervous System Disorders” Mems Investor Journal

      [11] PG Gopinath et.al “Microcantilever based Biosensor for Disease Detection Applications” Journal of Medical and Bioengineering Vol. 4, No. 4, August 2015

      [12] Shyamal patel, et.al, “ A review of sensors and systems with application in rehabilization” journal of neruro engineering and rehabilization, Vol.9, issue.21,P.No:1-17,2012.

      [13] Athanasios Tsanas et.al “Accurate Telemonitoring of Parkinson’s Disease Progression by Noninvasive Speech Tests”, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 57, NO. 4, APRIL 2010, P.No:884-893

      [14] Ulrike Sommer et.al “Detection of Presymptomatic Parkinson’s Disease: Combining 1 Smell Tests, Transcranial Sonography, and SPECT” 13 May 2004 in Wiley Inter Science, DOI: 10.1002/mds.20141, Vol. 19, No. 10, 2004, Pg.No:1-7.

      [15] Ali Saad et.al, “Detection of freezing of gait for Parkinson’s disease patients with multi-sensor device and Gaussian neural networks” Int. J. Mach. Learn. & Cyber, DOI 10.1007/s13042-015-0480-0, Pg.No:1-14.

      [16] George Rigas et.al “ Assessment of Tremor Activity in the Parkinson’s Disease Using a Set of Wearable Sensors” IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 16, NO. 3, MAY 2012,Pg.No:478-487.

      [17] Zack Zhu et.al “Real-Time Detection of Freezing of Gait for Parkinson's Disease Patients via Smartphone”P.No:1-4

      [18] Sinziana Mazilu” Gait, Wrist, and Sensors: Detecting Freezing of Gait in Parkinson’s Disease from Wrist Movement” Workshop on Sensing Systems and Applications Using Wrist Worn Smart Devices, 2015, 978-1-4799-8425-1/15/$31.00 ©2015 IEEE , P.No:583-588

      [19] Benoit Mariani et.al, “On-Shoe Wearable Sensors for Gait and Turning Assessment of Patients With Parkinson’s Disease” IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 60, NO. 1, JANUARY 2013 Pg.No:155-158.

      [20] K.Harish et.al “Tremor Quantification and its measurements on Parkinsonian patients”, 978-1-4244-4764-0/09/$25.00 ©2009 IEEE, Pg.No:1-3

      [21] Jens Barth et.al,Biometric and Mobile Gait Analysis for Early Diagnosis and Therapy Monitoring in Parkinson`s Disease “ 33rd Annual International Conference of the IEEE EMBS Boston, Massachusetts USA, August 30 - September 3, 2011,Pg.No:868-871.

      [22] E. Raghuveer, K Hari Kishore, Shaik Shoukat Vali, and G. Siri Vennela "Verilog Implementation of UART with BIST Technique for TPG” International Journal of Pure and Applied Mathematics, ISSN No: 1314-3395, Vol No: 115, Issue No: 7, Page No: 531-536, September 2017.

      [23] Dr. Seetaiah Kilaru, Hari Kishore K, Sravani T, Anvesh Chowdary L, Balaji T “Review and Analysis of Promising Technologies with Respect to fifth Generation Networks”, 2014 First International Conference on Networks & Soft Computing, ISSN:978-1-4799-3486-7/14,pp.270-273,August2014.

      [24] Meka Bharadwaj, Hari Kishore "Enhanced Launch-Off-Capture Testing Using BIST Designs” Journal of Engineering and Applied Sciences, ISSN No: 1816-949X, Vol No.12, Issue No.3, page: 636-643, April 2017.

      [25] N Bala Dastagiri, Kakarla Hari Kishore "Reduction of Kickback Noise in Latched Comparators for Cardiac IMDs” Indian Journal of Science and Technology, ISSN No: 0974-6846, Vol No.9, Issue No.43, Page: 1-6, November 2016.

      [26] A Murali, K Hari Kishore, D Venkat Reddy "Integrating FPGAs with Trigger Circuitry Core System Insertions for Observability in Debugging Process” Journal of Engineering and Applied Sciences, ISSN No: 1816-949X, Vol No.11, Issue No.12, page: 2643-2650, December 2016.

      [27] Mahesh Mudavath, K Hari Kishore "Design of CMOS RF Front-End of Low Noise Amplifier for LTE System Applications Integrating FPGAs” Asian Journal of Information Technology, ISSN No: 1682-3915, Vol No.15, Issue No.20, page: 4040-4047, December 2016.

      [28] P Bala Gopal, K Hari Kishore, B.Praveen Kittu “An FPGA Implementation of On Chip UART Testing with BIST Techniques”, International Journal of Applied Engineering Research, ISSN 0973-4562, Volume 10, Number 14 , pp. 34047-34051, August 2015

      [29] S Nazeer Hussain, K Hari Kishore "Computational Optimization of Placement and Routing using Genetic Algorithm” Indian Journal of Science and Technology, ISSN No: 0974-6846, Vol No.9, Issue No.47, page: 1-4, December 2016.

      [30] N Bala Gopal, K Hari Kishore "Analysis of Low Power Low Kickback Noise in Dynamic Comparators in Pacemakers” Indian Journal of Science and Technology, ISSN No: 0974-6846, Vol No.9, Issue No.44, page: 1-4, November 2016.

      [31] M. Rajesh, Manikanthan, “ANNOYED REALM OUTLOOK TAXONOMY USING TWIN TRANSFER LEARNING”, International Journal of Pure and Applied Mathematics, ISSN NO:1314-3395, Vol-116, No. 21, Oct 2017.

      [32] S.V.Manikanthan and T.Padmapriya “Recent Trends In M2m Communications In 4g Networks And Evolution Towards 5g”, International Journal of Pure and Applied Mathematics, ISSN NO:1314-3395, Vol-115, Issue -8, Sep 2017.

      [33] T. Padmapriya and V. Saminadan, “Inter-cell Load Balancing Technique for Multi- class Traffic in MIMO - LTE - A Networks”, International Conference on Advanced Computer Science and Information Technology , Singapore, vol.3, no.8, July 2015.

      [34] S.V.Manikanthan and K.Baskaran “Low Cost VLSI Design Implementation of Sorting Network for ACSFD in Wireless Sensor Network”, CiiT International Journal of Programmable Device Circuits and Systems,Print: ISSN 0974 – 973X & Online: ISSN 0974 – 9624, Issue : November 2011, PDCS112011008.


 

View

Download

Article ID: 9137
 
DOI: 10.14419/ijet.v7i1.5.9137




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.