Abstract
Mobiles are getting developed with advanced sensors and increasing computing power extending their capability for ubiquitous studies of human physical and cognitive behavior and capabilities. Physiological hand tremor is inherently present in all people between the frequency ranges of 6–12 Hz limiting the accuracy of their hand precision tasks. The objective of this study is to evaluate the use of accelerometry sensors in the smartphone as a quantitative metric to measure hand tremors. In this study, a smartphone was held in prone position of the hand with forearm and wrist supported. Simultaneous measurements were conducted on the smartphone and in a laboratory-grade accelerometry system for the benchmark. Both time domain and frequency domain analyses were performed on the measured data on the X, Y and Z-axis. It was observed from the results that smartphones could likely be used in behavioral studies and real-time clinical evaluations of both resting and action tremor assessments.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Barrantes S et al (2017) Differential diagnosis between Parkinson’s disease and essential tremor using the smartphone’s accelerometer. PLoS ONE 12(8):e0183843
Bot BM et al (2016) The mPower study, Parkinson disease mobile data collected using ResearchKit. Sci Data 3:160011. https://doi.org/10.1038/sdata.2016.11
Daneault J-F et al (2013) Using a smartphone as a standalone platform for detection and monitoring of pathological tremors. Front Hum Neurosci 6:357
Harwell RC, Ferguson RL (1983) Physiologic tremor and microsurgery. Microsurgery 4(3):187–192
Rajkumar D, Sharmila K, Santhosh R (2016) Study on mobile usage and data penetration in india using predictive analytics. Int J Latest Trends Eng Technol Special Issue SACAIM 260–265
Stamate C et al (2017) Deep learning Parkinson’s from smartphone data. In: IEEE international conference on pervasive computing and communications. 978-1-5090-4327-9
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Natarajan, P., Balasubramanian, V. (2022). Evaluation of Smartphone as a Real-Time Tool for Hand Tremor Assessment. In: Muzammil, M., Khan, A.A., Hasan, F. (eds) Ergonomics for Improved Productivity. HWWE 2021. Design Science and Innovation. Springer, Singapore. https://doi.org/10.1007/978-981-16-2229-8_24
Download citation
DOI: https://doi.org/10.1007/978-981-16-2229-8_24
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-2228-1
Online ISBN: 978-981-16-2229-8
eBook Packages: EngineeringEngineering (R0)