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| Main Authors: | , , , , , |
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| Format: | Preprint |
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2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.11269 |
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| _version_ | 1866914973110763520 |
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| author | Harez, Jayed Bin Akter, Shapla Sony, Rayhanul Islam Amin, M T Hasan Anee, Meratun Junnut Hossain, Amzad |
| author_facet | Harez, Jayed Bin Akter, Shapla Sony, Rayhanul Islam Amin, M T Hasan Anee, Meratun Junnut Hossain, Amzad |
| contents | Healthcare technology has advanced with the development of an IoT-based real-time monitoring system for post-operative heart disease patients. This system integrates advanced sensor technologies with cloud-connected platforms to continuously track vital signs, enabling more effective post-operative care. The system employs the HW-827 Heart Rate Sensor and DS18B20 Temperature Sensor, integrated with an ESP32 for wireless connectivity, to collect real-time data. Data was collected from 20 participants in each of the following categories: healthy individuals, pre-operative heart disease patients, and post-operative heart disease patients. The results revealed distinct physiological variations across the groups. Healthy individuals maintained stable temperatures (mean 36.3°C), while post-operative patients exhibited slightly elevated temperatures (mean 36.6°C). Heart rate analysis indicated higher rates in pre-operative (mean 87.8 bpm) and post-operative patients (mean 82.0 bpm) compared to healthy individuals (mean 72.4 bpm). ECG analysis showed elevated readings in pre-operative patients (mean 0.16 mV) compared to healthy individuals (mean 0.10 mV) and post-operative patients (mean 0.12 mV). Statistical analyses, including ANOVA tests, confirmed significant differences among the groups in terms of temperature (F(2, 12) = 4.57, p < 0.05), heart rate (F(2, 12) = 5.91, p < 0.01), and ECG readings (F(2, 12) = 3.24, p < 0.05). This study demonstrates the potential of IoT technologies in enhancing post-operative care through continuous monitoring and data-driven insights. It emphasizes the role of real-time patient data in improving personalized healthcare management. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_11269 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | IoT-Driven System for Continuous Monitoring of Heart Disease Patients Post-Surgery Harez, Jayed Bin Akter, Shapla Sony, Rayhanul Islam Amin, M T Hasan Anee, Meratun Junnut Hossain, Amzad Instrumentation and Detectors Healthcare technology has advanced with the development of an IoT-based real-time monitoring system for post-operative heart disease patients. This system integrates advanced sensor technologies with cloud-connected platforms to continuously track vital signs, enabling more effective post-operative care. The system employs the HW-827 Heart Rate Sensor and DS18B20 Temperature Sensor, integrated with an ESP32 for wireless connectivity, to collect real-time data. Data was collected from 20 participants in each of the following categories: healthy individuals, pre-operative heart disease patients, and post-operative heart disease patients. The results revealed distinct physiological variations across the groups. Healthy individuals maintained stable temperatures (mean 36.3°C), while post-operative patients exhibited slightly elevated temperatures (mean 36.6°C). Heart rate analysis indicated higher rates in pre-operative (mean 87.8 bpm) and post-operative patients (mean 82.0 bpm) compared to healthy individuals (mean 72.4 bpm). ECG analysis showed elevated readings in pre-operative patients (mean 0.16 mV) compared to healthy individuals (mean 0.10 mV) and post-operative patients (mean 0.12 mV). Statistical analyses, including ANOVA tests, confirmed significant differences among the groups in terms of temperature (F(2, 12) = 4.57, p < 0.05), heart rate (F(2, 12) = 5.91, p < 0.01), and ECG readings (F(2, 12) = 3.24, p < 0.05). This study demonstrates the potential of IoT technologies in enhancing post-operative care through continuous monitoring and data-driven insights. It emphasizes the role of real-time patient data in improving personalized healthcare management. |
| title | IoT-Driven System for Continuous Monitoring of Heart Disease Patients Post-Surgery |
| topic | Instrumentation and Detectors |
| url | https://arxiv.org/abs/2410.11269 |