ABSTRACT
Death rate is proportionally increasing with health ailment and accident throughout the world. Though technology develops day-by-day, still the gap is there in many areas. Especially the healthcare units lack to provide adequate support and solution to human society. Since last decade enormous developments have been done in technological field and applied in academia, industries, and healthcare units. Sophisticated analysis and diagnosis is still challenge for researchers that can help to the physicians as well to the society. In this chapter, authors focus on cardiac problem analysis for e-healthcares. For the data collection, smart sensors are used for different patients. Using the Arduino kit, the data can be transferred to cloud for internet-based uses. It will be easier to observe through either mobile devices or through computers. The analysis is automated using fuzzy inference system. Also it is developed for graphical user interface (GUI) to make the system user-friendly. The analysis and detection is performed well with the application of fuzzy logic. Due to such setup, communication can be bidirectional to diagnosis, monitoring, and 2suggestions. Some of the results are depicted in this scenario and some of the issues are kept as open challenges. Starting from individuals to data mining, many types of signals are analyzed and exhibited.
