Development of a blood pressure monitoring system for home health application

Panicker, Nitha V; Kumar, Atul

doi:10.1109/iccpct.2015.7159514

Cited by 11 publications

(4 citation statements)

References 7 publications

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“…Statistical analysis is carried out using Bland-Altman method. This work is the extension of the authors' previous research activity [ 22 , 23 ].…”

Section: Introductionmentioning

confidence: 83%

Tablet PC Enabled Body Sensor System for Rural Telehealth Applications

Panicker¹,

Kumar²

2016

International Journal of Telemedicine and Applications

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Telehealth systems benefit from the rapid growth of mobile communication technology for measuring physiological signals. Development and validation of a tablet PC enabled noninvasive body sensor system for rural telehealth application are discussed in this paper. This system includes real time continuous collection of physiological parameters (blood pressure, pulse rate, and temperature) and fall detection of a patient with the help of a body sensor unit and wireless transmission of the acquired information to a tablet PC handled by the medical staff in a Primary Health Center (PHC). Abnormal conditions are automatically identified and alert messages are given to the medical officer in real time. Clinical validation is performed in a real environment and found to be successful. Bland-Altman analysis is carried out to validate the wrist blood pressure sensor used. The system works well for all measurements.

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“…Statistical analysis is carried out using Bland-Altman method. This work is the extension of the authors' previous research activity [ 22 , 23 ].…”

Section: Introductionmentioning

confidence: 83%

Tablet PC Enabled Body Sensor System for Rural Telehealth Applications

Panicker¹,

Kumar²

2016

International Journal of Telemedicine and Applications

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“…For processing the data micro controller involves the conventional textual embedded C programming. In [13][14][15][16][17][18][19][20], smart health care systems have been proposed using various versions of micro controller.…”

Section: Related Workmentioning

confidence: 99%

An efficient IoT based biomedical health monitoring and diagnosing system using myRIO

Rathy¹,

Sivasankar²,

Fadhil

2020

TELKOMNIKA

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With the growing and aging population, patient auto monitoring systems are becoming more popular. Smart sensors linked with the internet of things (IoT) make patients' auto monitoring system possible. Nowadays myRIO with LabVIEW is more popular for easy data acquisition, instrument control, and automation. This paper proposed myRIO and IoT based health monitoring and diagnosing system (HMDS) to acquire heartbeat rate, pulse, blood pressure (BP), temperature and activities of the patient using various smart sensors with more accuracy. The acquired raw data from the various sensors had been sent to the myRIO using ESP 8266 Wi-Fi module. The received raw data by the myRIO would be processed to the equivalent medical parameters using LabVIEW and the same might be transferred to the remote monitoring system (RMS) using cloud via a gateway. The abnormalities in the obtained data would be monitored and the diagnosis was made. The experimental setup was developed using various wearable sensors, ESP 8266, myRIO with LabVIEW and cloud with the gateway.

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“…Panicker ve Kumar (2015) tarafından yapılan çalışmada, evde sağlık uygulaması için fizyolojik parametre izleme sistemi sunulmaktadır. Bu sistem hastalığın kan basıncı, nabız sayısı gibi fizyolojik parametrelerinin değerlendirilmesini ve eş zamanlı ve sürekli veri toplanmasını sağlamaktadır.…”

Section: Literatür Bilgileriunclassified