IOT-BASED SYSTEM FOR DETECTING TACHYCARDIA AND BRADYCARDIA

Abstract

ABSTRACT An IoT-based tachycardia and bradycardia detection system (100), comprising: a wearable device configured to monitor heart rate; an IoT platform for data collection and transmission; a data analysis module to detect abnormalities in heart rate; and an alert mechanism to notify users and healthcare providers of detected conditions. <>

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of healthcare and, in particular, to an IoT-based system for detecting tachycardia and bradycardia.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] The detection and monitoring of heart rate conditions, such as tachycardia and bradycardia, are critical for managing cardiovascular health. Tachycardia refers to an abnormally fast heart rate, while bradycardia refers to an abnormally slow heart rate. Both conditions can lead to serious hea , Claims:CLAIMS
WE CLAIM:
1. An IoT-based tachycardia and bradycardia detection system (100), comprising:
a wearable device configured to monitor heart rate;
an IoT platform for data collection and transmission;
a data analysis module to detect abnormalities in heart rate; and
an alert mechanism to notify users and healthcare providers of detected conditions.
2. The system (100) as claimed in claim 1, wherein the wearable device continuously collects and transmits real-time heart rate data.
3. The system (100) as claimed in claim 1, wherein the data analysis module uses advanced algorithms to identify deviations from normal heart rate ranges.
4. The system (100) as claimed in claim 1, wherein the alert mechanism provides real-time notifications for immediate intervention.
5. The system (100) as claimed in claim 1, further comprising a user interface for accessing real-time data and alerts

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