Mobile Phone-Enhanced User Interface of Remote Monitoring System

Author(s):  
Y. Imai ◽  
M. Ooga ◽  
D. Yamane ◽  
O. Sadayuki ◽  
Y. Iwamoto ◽  
...  
Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Marcus Stahlberg ◽  
Satish C Govind ◽  
Nicole M Orr ◽  
Aasha S Gopal ◽  
Justine S Lachmann ◽  
...  

Objective: To investigate the clinical feasibility (technical feasibility and patient-/clinician adherence) of remote telemonitoring, using a mobile phone, in an international and diverse HF population. Methods: HF patients from five centers in the USA, India and Sweden were equipped with a blood pressure apparatus, digital weight scale and a mobile phone device with custom made software for remote telemonitoring (Vitalbeat®). Patients were asked to record and transmit daily information on body weight, blood pressure and pulse rate as well as symptoms and adherence to medical therapy for 90 days. The primary endpoint, for assessment of general feasibility was defined as % of days with a combination of successful data transmission from patients and data read by clinicians. Acceptable clinical feasibility was a priori set as ≥ 66% of days meeting the primary endpoint. A survey was used to assess patients’ opinions about the remote monitoring system. Data was analyzed according to Intention to treat. Results: 46 HF patients were included (India=20, USA=13, Sweden=13; 59±16yrs; 84% male; NYHA-class 2.4±0.8) and followed for a total of 4410 days. The primary endpoint occurred in 3178 days (77%) and 34/46 patients (74%) exceeded the cut-off ≥ 66% of days meeting endpoint criteria. In the majority of patients (n=28; 61 %) the primary endpoint was met ≥ 90% of the days, and in 6 patients (13%) 66-89% of the days.Twelve patients (26%) opted to drop out of the study prematurely or were hospitalized for HF related causes. Compared to patients with acceptable clinical feasibility (≥ 66%), patients with less than acceptable feasibility (< 66%) were older (72±12 vs. 56±15 yrs, p=0.003) and more likely to be followed at a center in USA or Sweden (p=0.02 vs. Indian centers). The monitoring system was described as user friendly by 91 % of patients. Conclusion: This study shows that remote telemonitoring using a mobile phone is clinically feasible in an international and diverse heart failure population. However, monitoring was less feasible in elderly patients and depended on the geographic location. Further studies are warranted to assess whether clinical feasibility can improve with improved software/hardware design and/or patient selection.


2020 ◽  
Vol 17 (5) ◽  
pp. 2288-2295
Author(s):  
K. V. Sowmya ◽  
Harshavardhan Jamedar ◽  
Pradeep Godavarthi

Development of surveillance and monitoring systems are quite difficult and challenging task at times. The design of a system depends on the environment to be monitored. Such surveillance systems need to have dynamic features, for e.g., cameras used for monitoring may be mobiles, web cams etc. installed to the system. Such systems are used in various large buildings like shopping malls where it could incur high cost for installing cameras in each level of buildings. Even for people like security officers it could be huge task to cover an entire building. Other examples for dynamic surveillance system could be detecting poisonous gases in an area, explosives and any fire risk elements. Another case is that it can reach where the area is not accessed by humans. In view of these challenges we propose a Remote monitoring system where a Robotic Car is installed with camera, Ultrasonic sensor, DHT11, PIR sensors according to the environment involved. The instructions are given to the robotic car using a third party app called Blynk as user interface. Here the raspberry pi is used as a microcontroller which is connected to WIFI acts as the communication medium to connect the server provided by Blynk. The Blynk app which acts as a user interface is interacted with the car using Wi-Fi and its server.


2020 ◽  
Vol 1575 ◽  
pp. 012050
Author(s):  
Limei Song ◽  
Jingjing Zhang ◽  
Cunhe Hao ◽  
Huien Qi ◽  
Bingying Tian ◽  
...  

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