Design Of A Model For Multi-Parametric Health Monitoring System

Nosirov, Khabibullo; Begmatov, Shohruh; Arabboev, Mukhriddin

doi:10.1109/icisct50599.2020.9351522

Cited by 5 publications

(1 citation statement)

References 16 publications

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“…Several studies have utilized multi-sensors with various parameters to comprehensively evaluate human health. For example, Nosirov et al, [10] measured air quality parameters using MQ135, heart rate, accelerometer, air pressure, sound detection, temperature, humidity, and patient location. This study focused more on measuring the environmental parameters around the patient to assess their impact on the patient.…”

Section: Introductionmentioning

confidence: 99%

Multisensory Health Monitoring Device Based on Raspberry Pi 4B

Putri Madona,

Jepri Simatupang,

Ahmad Yani H

2024

ARASET

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The availability of health monitoring devices that can be used independently, conveniently, and portably is increasing in line with busy lifestyles and the difficulty of scheduling medical tests. Measuring vital body signals with various devices makes measurements longer, less effective, and relatively more expensive. The proposed research can monitor vital body signals, such as heart rate, body temperature, respiratory rate, oxygen saturation, GSR, blood pressure, and snoring, which are integrated into a Raspberry Pi 4B-based device, with results displayed on an LCD screen. Data acquisition results show reasonably good accuracy in almost all parameters but require improvement in respiratory rate measurements. In the subsequent work, these seven-acquisition data will be used to predict several possible diseases.

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Section: Introductionmentioning

confidence: 99%