Remote Monitoring of Physiological Parameters used in Ambient Assistive Technologies

2020 ◽  
Author(s):  
Stefan Danie Achirei ◽  
Otilia Zvoristeanu ◽  
Adrian Alexandrescu ◽  
Nicolae Alexandru Botezatu ◽  
Andrei Stan ◽  
...  
Keyword(s):  
Remote Monitoring ◽  
Physiological Parameters ◽  
Assistive Technologies

scholarly journals IOT based e – health care system

2018 ◽  
Vol 7 (2.25) ◽  
pp. 43 ◽  
Author(s):  
R Chandrasekaran ◽  
Syed Uzma Farheen ◽  
R J.Hemalatha ◽  
Bincy Babu ◽  
Josephin Arockiya Dhivya ◽  
...  
Keyword(s):  
Health Care ◽  
Cloud Computing ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Physiological Parameters ◽  
Private Cloud ◽  
Computing Power ◽  
The Subject ◽  
Sensor Monitoring ◽  
The Web

One of the most important technological evolutions of our time is CLOUD COMPUTING, which describes the web computing power to store and process the information. The evolution and advancements are swiftly increasing in remote monitoring and Telemedicine. This paper aims at transmitting the physiological parameters of the subject to the private cloud called Thing Speak, an IOT based Sensor monitoring system. The physiological parameters are sent to the cloud via ESP8266 (IOT device). The cloud computing helps the physician to be connected with the patient’s data and it is helpful in monitoring the patients at any time through internet.  

Remote Monitoring System of Physiological Parameters in Home Care

2019 ◽  
pp. 181-189
Author(s):  
Marcus V. B. Franco ◽  
Thiago G. Terra ◽  
Theu S. Castro ◽  
Isadora B. Souto ◽  
Daniela O. H. Suzuki ◽  
...  
Keyword(s):  
Home Care ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Physiological Parameters ◽  
Remote Monitoring System

scholarly journals Human Vital Physiological Parameters Monitoring: A Wireless Body Area Technology Based Internet of Things

2018 ◽  
Vol 6 (3) ◽  
pp. 115-121 ◽  
Author(s):  
Aliyu Ahmed ◽  
Ajao Adewale Lukman ◽  
Agajo James ◽  
Olaniy Olayemi Mikail ◽  
Buhari Ugbede Umar ◽  
...  
Keyword(s):  
Remote Monitoring ◽  
Mobile Apps ◽  
Medical Personnel ◽  
Physiological Parameters ◽  
Embedded Sensors ◽  
Processing Unit ◽  
Healthcare Applications ◽  
Smart System ◽  
System Controller ◽  
Remote Health

Human vital physiological parameters (HVPP) monitoring with embedded sensors integration has improved the smart system technology in this era of a ubiquitous platform. Several IoT-based healthcare applications have been proposed for remote health monitoring. Most of the devices developed require one on one contact with doctors before any medical diagnosis is undertaken. Thereby, make it difficult for frequent visitation to the health center. In this paper, embedded heartbeat and temperature sensors for remote monitoring have been developed using Arduino lily as the system controller and processing unit. The Bluetooth low power enables with Android mobile apps is used for remote monitoring and communication of HVPP in a real time. This gives medical personnel and individual customers opportunity of monitoring their vital physiological parameters such as heartbeat rate and body temperature. However, it moderates sudden attack of chronic ailment like hypertension and reduces congestion of patient in the hospitals.

scholarly journals Assistive technologies for home NIV in patients with COPD: feasibility and positive experience with remote-monitoring and volume-assured auto-EPAP NIV mode

2021 ◽  
Vol 8 (1) ◽  
pp. e000828
Author(s):  
Grace McDowell ◽  
Maksymilian Sumowski ◽  
Hannah Toellner ◽  
Sophia Karok ◽  
Ciara O'Dwyer ◽  
...  
Keyword(s):  
Remote Monitoring ◽  
Assistive Technologies ◽  
Chronic Obstructive ◽  
Service Model ◽  
Data Set ◽  
Obstructive Pulmonary Disease ◽  
Non Invasive ◽  
Non Invasive Ventilation ◽  
Set Up

BackgroundOutcomes for patients with chronic obstructive pulmonary disease (COPD) with persistent hypercapnic respiratory failure are improved by long-term home non-invasive ventilation (NIV). Provision of home-NIV presents clinical and service challenges. The aim of this study was to evaluate outcomes of home-NIV in hypercapnic patients with COPD who had been set-up at our centre using remote-monitoring and iVAPS-autoEPAP NIV mode (Lumis device, ResMed).MethodsRetrospective analysis of a data set of 46 patients with COPD who commenced remote-monitored home-NIV (AirView, ResMed) between February 2017 and January 2018. Events including time to readmission or death at 12 months were compared with a retrospectively identified cohort of 27 patients with hypercapnic COPD who had not been referred for consideration of home-NIV.ResultsThe median time to readmission or death was significantly prolonged in patients who commenced home-NIV (median 160 days, 95% CI 69.38 to 250.63) versus the comparison cohort (66 days, 95% CI 21.9 to 110.1; p<0.01). Average time to hospital readmission was 221 days (95% CI, 47.77 to 394.23) and 70 days (95% CI, 55.31 to 84.69; p<0.05), respectively. Median decrease in bicarbonate level of 4.9 mmol/L (p<0.0151) and daytime partial pressure of carbon dioxide 2.2 kPa (p<0.032) in home-NIV patients with no required increase in nurse home visits is compatible with effectiveness of this service model. Median reduction of 14 occupied bed days per annum was observed per patient who continued home-NIV throughout the study period (N=32).ConclusionThese findings demonstrate the feasibility and provide initial utility data for a technology-assisted service model for the provision of home-NIV therapy for patients with COPD.

Smart Technology for Non Invasive Biomedical Sensors to Measure Physiological Parameters

2018 ◽  
pp. 749-778
Author(s):  
K Rajasekaran ◽  
Anitha Mary Xavier ◽  
R Jegan
Keyword(s):  
Blood Pressure ◽  
Remote Monitoring ◽  
Information Technologies ◽  
Physiological Parameters ◽  
Physiological Monitoring ◽  
Biomedical Sensors ◽  
Non Invasive ◽  
Information And Communication ◽  
Monitoring Devices ◽  
Design Challenges

Communication and Information technologies are transforming our lifestyles, social interactions, and workplaces. One of the promising applications of the information and communication technology is healthcare and wellness management. Advancement in electronic health care and mobile have made doctors and patients to involve the modern healthcare system by extending the capabilities of physiological monitoring devices. Various biomedical sensors are being used to measure the physiological parameters like pulse rate, blood glucose level, blood pressure etc., Among various bio-sensor, Researchers from different field of science are particularly and increasingly interested in Photoplethysmography (PPG) signals. This chapter addresses the importance of bio sensors and its principle, significance of remote monitoring of PPG signal using Radio Frequency (RF) and design challenges in RF connectivity. Also this chapter presents a reliable low power wireless transmission mechanism of biomedical signals which works on narrow band RF frequencies.

Smart Technology for Non Invasive Biomedical Sensors to Measure Physiological Parameters

2017 ◽  
pp. 318-347
Author(s):  
K Rajasekaran ◽  
Anitha Mary Xavier ◽  
R Jegan
Keyword(s):  
Blood Pressure ◽  
Remote Monitoring ◽  
Information Technologies ◽  
Physiological Parameters ◽  
Physiological Monitoring ◽  
Biomedical Sensors ◽  
Non Invasive ◽  
Information And Communication ◽  
Monitoring Devices ◽  
Design Challenges

Communication and Information technologies are transforming our lifestyles, social interactions, and workplaces. One of the promising applications of the information and communication technology is healthcare and wellness management. Advancement in electronic health care and mobile have made doctors and patients to involve the modern healthcare system by extending the capabilities of physiological monitoring devices. Various biomedical sensors are being used to measure the physiological parameters like pulse rate, blood glucose level, blood pressure etc., Among various bio-sensor, Researchers from different field of science are particularly and increasingly interested in Photoplethysmography (PPG) signals. This chapter addresses the importance of bio sensors and its principle, significance of remote monitoring of PPG signal using Radio Frequency (RF) and design challenges in RF connectivity. Also this chapter presents a reliable low power wireless transmission mechanism of biomedical signals which works on narrow band RF frequencies.

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