Abstract
World Health Organization (WHO) predicts cardiovascular ailments as one of the major causes of death worldwide. American Heart Association (AHA), in one of its reports in 2017, predicted the number of deaths due to cardiovascular diseases (CVD) to be 23.6 million by 2030. This alarming trend, in the advent of CVDs, calls for an accurate and cost-effective method for detection of precursors to CVDs.
Hemodynamic monitoring, such as pressure pulses, venous pressure, cardiac output, has been traditionally used by clinicians in the past. This type of hemodynamic monitoring is invasive in nature, costly, requires on-site supervision and also involves risks of surgical complications. In order to avoid these complications, an alternative non-invasive method, known as Impedance Cardiography (ICG) was proposed by various researchers. In impedance cardiography, an alternating current flows through the body fluid which has very low electrical resistance when applied to human body. When electric potential is applied to the human body, the tissue exhibits electrical property called the Bio-Impedance. Compared to bone, fat, or air, current flows easily through those parts of the body which are composed mostly of water (blood, urine, and muscle). This chapter discusses a cost-effective, easy-to-use device, based on ICG, for the detection of advent of any cardiac anomalies.
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Notes
- 1.
a,b,c,d,e,f,g,h,i Reprinted from,“A 2d electrode-skin model for electrical & contact impedance char- acterization of bio impedance”, by S. Ghosh, M. Mahadevappa and J. Mukhopadhyay, 2016 IEEE Region 10 Conference (TENCON), pp. 2292–2295, IEEE, 2016, with permission from IEEE, (licence No.: 4943680947059)
- 2.
1,2,3,4Reprinted from,“Estimation of echocardiogram parameters with the aid of impedance car- diography and artificial neural networks”, by S. Ghosh, B. P. Chattopadhyay, R. M. Roy, J. Mukherjee, and M. Mahadevappa, Artificial intelligence in medicine, vol. 96, pp. 45–58, 2019, with permission from Elsevier, (Licence No.: 4943690013102)
- 3.
The authors declare that a patent has been filed for the device discussed in this chapter, vide application number KOL/201831001822
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Ghosh, S., Mukhopadhyay, J., Mahadevappa, M. (2022). Design and Development of a Bed-Side Cardiac Health Monitoring Device. In: Borse, V., Chandra, P., Srivastava, R. (eds) BioSensing, Theranostics, and Medical Devices. Springer, Singapore. https://doi.org/10.1007/978-981-16-2782-8_9
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