Surabhi Marathe

Bio: Surabhi Marathe is an academic researcher from Maharashtra Institute of Technology. The author has an hindex of 1, co-authored 1 publications receiving 2 citations.

Rule extraction for detection and prevention of asthma attacks

Abstract: This paper solves the problem of prevention of asthma attacks, and also it can predict a future asthma attack based on prevalent asthma triggers. The system forms an opinion of the everyday condition of the user, for example, if the user is doing fine today but might not be fine tomorrow. With the help of neural networks, it is possible to predict precisely and correct the user habits. A user who is not an asthma patient but thinks he may have the disease can also use this system. Monthly reports are generated of every user stating whether the patient's condition has worsened or got better.

Design Of Asthma Detection Devices Through Heart Rate and Oxygen Saturation

Abstract: Respiratory problems can cause asthma, acute asthma attacks are very difficult to predict because they often occur suddenly and asthma can also cause death in sufferers because the breath can suddenly stop. The purpose of this research is to design an asthma detection device through indicators of heart rate and oxygen saturation. The contribution of this study is to categorize the patient's condition by looking at the value of the heartbeat and oxygen saturation so that when asthma occurs the message of a location will be sent. To measure heart rate and oxygen saturation, a Nellcor finger sensor is placed on the patient's index finger. The finger sensor enters the signal conditioning circuit, then sent to the microcontroller to be processed to produce a heart rate value and the percentage of oxygen saturation. The testing of this tool is done by comparing the module with a standard measuring instrument that produces the highest value of oxygen saturation error which is 1.715% and the largest value of heart rate error is 3.548%. The results showed that the device was appropriate to use, because in the Medical Devices Testing and Calibration Guidelines of the Ministry of Health of the Republic of Indonesia in 2001, the maximum limit in oxygen saturation error tolerance was 2%, and heart rate was 5%. The results of this study can be implemented in patients who have been diagnosed with asthma so that it can facilitate the family in monitoring the patient's condition.

Prospect for Designing Wearable Devices for Children’s Asthma Attack Detection Based on Internet of Things and Cloud Computing

Abstract: Indonesia’s geographical location as an archipelago makes this country has a humid tropical climate. This climate will affect asthmatics. Asthma attacks a patient suddenly, this is very dangerous especially if the patient is a child. Before attacking usually, asthma will react to the body with the characteristics of changes in breathing frequency, pulse frequency, mild, severe, even to the point of stopping breathing. Asthma attacks will be very dangerous for children who are not under the supervision of their parents (being in school for example). It can be imagined if asthma with severe clusters aims. The purpose of this study is to propose the design of wearable-type devices used in children at home to facilitate monitoring of asthma attacks through the internet network.

An Analytical Approach for Asthma Attack Prevention

Abstract: Asthma patients sometimes immediately need medical attention due to sudden breath loss or asthma attack. An analytical approach is proposed in this paper to prevent a patient from asthma attack. Weather, air quality and pollen data are used to predict the probability of asthma attack for taking preemptive action using logistic regression. The proposed solution implemented on environmental datasets and it achieves 84.2% accuracy.