Blood Leakage Detection During Self-Dialysis

The main objective of our project “Blood leakage detection during self-dialysis” is, the patient can do their treatment by themselves whenever he/she feels comfortable and free. The IOT device is also designed as a warning tool for detection of blood leakage/loss. It can indicate the risk level in both end-sensing units and remote monitor devices via a wireless network and cloud.

Smart Waste Management System using IBM Watson Services

In present developed or developing countries wastage managements are one in the primary problems. This main issues to wastage managements to the overload of garbage bins, which spills out results in pollution and leads to spread diseases. The detection, monitoring, management of wastage into wastage bin as a complex processes that takes more humans effort, time & cost while it is not suitable for presents day technology. The main aim is to design a system based using IBM Watson IoT methodology for collecting garbage from the particular area whose garbage bins are overflowing. These are papers proposes at a smart alert systems with the clear of garbage by giving continuous notifications to the receiver for cleaning the dustbins. This process is done by the sensor which is used as checking in the levels to garbage fills to the waste bins & sending notifications to this municipal collection department. This is android application is used as intimates in the alert with micro controllers as the urbanoffice & to performed in the remote monitor to the cleaning process. The notifications are sent as android application using Wi-Fi module.

P6546Canadian Registry of Electronic Device Outcomes (CREDO): remote monitoring outcomes in the abbott battery performance alert, a multicentre cohort

Background Cardiac implantable electronic devices have been known to have lead and device malfunctions leading to advisories. Increased use of remote monitoring of devices has been suggested to allow the identification of abnormal device performance and allow early intervention. We sought to describe the outcomes of patients with and without remote monitoring of in devices in the Abbott Premature Battery Depletion advisory with data from a Canadian registry Methods Patients with an Abbott device subject to the Battery Performance Alert Advisory from nine ICD implanting centres in Canada were included in the registry. The use of remote monitoring was identified from baseline and followup data in the registry. The primary outcome was detection of premature battery depletion and all cause mortality. Results 2679 patents were identified with a device subject to the advisory. Devices were implanted between 2010 and 2017. 1716 patients (64%) had remote monitoring at baseline with this increasing to 83.7% at followup at 12 months. Premature battery depletion occurred in 43 patients (1.6%). Discovery of premature battery depletion was detected by remote monitoring in 70% of patients. There were 492 deaths during the follow up. Mortality was higher in those without a remote monitor compared to those with a remote monitor at follow-up and remote monitor at baseline and follow-up (11.3%, 2.6% versus 6.1% respectively; p=0.0186). There were no deaths attributed to premature battery depletion Conclusion The use of remote monitoring in patients with ICD and CRT under advisory reliably detected device failure and was associated with a reduction in all-cause mortality.