LOW-COST AUTOMATED NURSE CALL SYSTEM FOR IMPROVING PATIENT CARE USING LabVIEW

2018 ◽  
Vol 30 (04) ◽  
pp. 1850030
Author(s):  
K. S. Arjun Subramaniyan ◽  
S. Tarunkumar ◽  
Y. Vinish ◽  
K. Sanchana ◽  
Oinam Robita Chanu ◽  
...  
Keyword(s):  
Virtual Instrument ◽  
Low Cost ◽  
False Alarms ◽  
Medical Assistance ◽  
Critical Care Units ◽  
Code Blue ◽  
Automated Technology ◽  
Dedicated Team ◽  
Improving Patient Care ◽  
Nurse Call System

Nurse Call systems are used to signal nurses for medical assistance. Present day technology uses push buttons and room lamps integrated with liquid crystal displays (LCDs) at the nurse station in most hospitals in India. Such systems are not automated and also have the risk of false alarms due to mishandling by caretakers. This prototype uses an automated technology, when implemented monitors patients in critical care units continuously and detects specific arrhythmia conditions with the help of thresholds based on pre-set standards and the information is passed on to the nurse station only in case of an emergency thus allowing continuous monitoring of the patient. Since the system is centralized, the CODE BLUE team (Dedicated team in every hospital to attend patients during a cardiac emergency) is also alerted at the same time minimizing the delay in medical assistance. This system would be most useful in emergency conditions such as Cardiac arrest, thus increasing the chances of survival of a patient. For this project, LabVIEW (Laboratory Virtual Instrument Engineering Workbench) 2014 version (software) and National Instruments MyRIO (NI Reconfigurable Input/Output) hardware are used. On comparison with some of the present day nurse call systems, the proposed system is also economical in most of the developing countries such as in India.

scholarly journals A Feasibility Study of the Use of Smartwatches in Wearable Fall Detection Systems

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2254
Author(s):  
Francisco Javier González-Cañete ◽  
Eduardo Casilari
Keyword(s):  
Low Cost ◽  
Fall Detection ◽  
The Elderly ◽  
Point Of View ◽  
False Alarms ◽  
Battery Life ◽  
Area Network ◽  
Battery Lifetime ◽  
Detection Systems ◽  
Operational Aspects

Over the last few years, the use of smartwatches in automatic Fall Detection Systems (FDSs) has aroused great interest in the research of new wearable telemonitoring systems for the elderly. In contrast with other approaches to the problem of fall detection, smartwatch-based FDSs can benefit from the widespread acceptance, ergonomics, low cost, networking interfaces, and sensors that these devices provide. However, the scientific literature has shown that, due to the freedom of movement of the arms, the wrist is usually not the most appropriate position to unambiguously characterize the dynamics of the human body during falls, as many conventional activities of daily living that involve a vigorous motion of the hands may be easily misinterpreted as falls. As also stated by the literature, sensor-fusion and multi-point measurements are required to define a robust and reliable method for a wearable FDS. Thus, to avoid false alarms, it may be necessary to combine the analysis of the signals captured by the smartwatch with those collected by some other low-power sensor placed at a point closer to the body’s center of gravity (e.g., on the waist). Under this architecture of Body Area Network (BAN), these external sensing nodes must be wirelessly connected to the smartwatch to transmit their measurements. Nonetheless, the deployment of this networking solution, in which the smartwatch is in charge of processing the sensed data and generating the alarm in case of detecting a fall, may severely impact on the performance of the wearable. Unlike many other works (which often neglect the operational aspects of real fall detectors), this paper analyzes the actual feasibility of putting into effect a BAN intended for fall detection on present commercial smartwatches. In particular, the study is focused on evaluating the reduction of the battery life may cause in the watch that works as the core of the BAN. To this end, we thoroughly assess the energy drain in a prototype of an FDS consisting of a smartwatch and several external Bluetooth-enabled sensing units. In order to identify those scenarios in which the use of the smartwatch could be viable from a practical point of view, the testbed is studied with diverse commercial devices and under different configurations of those elements that may significantly hamper the battery lifetime.

Experimental Study on New Wave Measurement Using Passive Underwater Acoustics

2008 ◽  
Author(s):  
Jing Li ◽  
Dingyong Yu ◽  
Huaxing Liu
Keyword(s):  
Virtual Instrument ◽  
Low Cost ◽  
Measuring System ◽  
Time Data ◽  
Significant Wave ◽  
Wave Measurement ◽  
Wave Heights ◽  
Mean Wave Period ◽  
Passive Acoustic ◽  
User Friendly

The passive acoustic-based wave measurement via hydrophones is presented in this paper. It has the potential to measure non-intrusively, implement with low cost and with higher resolution. Details of experiments, real-time data recording and processing are described respectively. Particularly, the portable data acquisition system based on virtual instrument technique is designed to make the in situ measurement convenient and user-friendly. Special emphasis is put on FFT filtering technique to band pass the signal fast and efficiently. The key wave parameters, i.e. the mean wave period and the significant wave height, can be obtained from the comparatively safe and stable underwater by means of submerged hydrophones. Considering the pressure sensor has been widely used in the ocean wave measurement, it is deployed simultaneously to test the feasibility of the new system. The result shows that the present measuring system can give satisfactory measurement of significant wave heights and average wave periods in shallow water despite of the little deviation.

scholarly journals Increasing Internal Medicine Resident Confidence in Leading Inpatient Cardiopulmonary Resuscitations and Improving Patient Outcomes

2020 ◽  
Vol 7 ◽  
pp. 238212052092371
Author(s):  
Nathan T Douthit ◽  
Christine M McBride ◽  
Erin Coleman Townsley
Keyword(s):  
Patient Outcomes ◽  
Low Cost ◽  
Internal Medicine Resident ◽  
Spontaneous Circulation ◽  
High Yield ◽  
Positive Trend ◽  
Total N ◽  
Return Of Spontaneous Circulation ◽  
Code Blue ◽  
Improve Patient

Introduction: Residents do not feel confident or competent in leading inpatient resuscitations. This is a crucial part of training future internists. Our objective was to develop a low-cost intervention to improve resident confidence in leading cardiopulmonary resuscitations and patient outcomes. Methods: A “code-conference” including a lecture on a high-yield topic, a low-fidelity simulation, and review of resident-led resuscitations was created at our institution for the 2017-2018 academic year. Patient outcomes were assessed using objective measures of return of spontaneous circulation (ROSC) and survival to discharge (sDC). Confidence was assessed via survey before and after the intervention, with a focus on beginning postgraduate year 2 (PGY-2) residents. Results: In 2017, 8 out of 8 (100%) PGY-2 residents responded, while in 2018, 8 out of 10 (80%) responded. Patient outcomes did not show a statistically significant improvement. There was a trend toward positive outcomes in the resident group alone. Return of spontaneous circulation increased from 63% to 79% ( P = .08, total n = 97). Resident confidence was not improved in a statistically significant way, but there was a trend toward improvement and residents agreed it was an important part of their training. Discussion: There was no statistically significant improvement in code-blue outcomes; however, there was a positive trend with increased ROSC and stable sDC for resident-led resuscitations, despite hospital-wide decreases in both. Resident confidence also showed a positive trend with no statistical significant changes. It is possible to institute a low-cost high-yield intervention to improved resident confidence in leading code-blue resuscitations. It may also improve patient outcomes; however, further studies are needed to determine if it can improve patient survival outcomes.

Low cost Real Time Centralized Speed Control of DC Motor Using Lab view -NI USB 6008

2016 ◽  
Vol 7 (3) ◽  
pp. 656 ◽  
Author(s):  
C. Bharatiraj ◽  
JL Munda ◽  
Ishan Vaghasia ◽  
Rajesh Valiveti ◽  
P. Manasa
Keyword(s):  
Virtual Instrument ◽  
Low Cost ◽  
Speed Control ◽  
Dc Motor ◽  
Industrial Applications ◽  
Laboratory Model ◽  
Small Scale ◽  
Motor Speed ◽  
Software Environment ◽  
Lab View

The DC motors an outstanding portion of apparatus in automotive and automation industrial applications requiring variable speed and load characteristics due to its ease of controllability. Creating an interface control system for multi DC motor drive operations with centralized speed control, from small-scale models to large industrial applications much demand. By using Lab VIEW (laboratory virtual instrument engineering workbench) as the motor controller, can control a DC motor for multiple purposes using single software environment. The aim of this paper is to propose the centralized speed control of DC motor using Lab VIEW. Here, the Lab VIEW is used for simulating the motor, whereas the input armature voltage of the DC motor is controlled using a virtual Knob in Lab VIEW software. The hardware part of the system (DC motor) and the software (in personal computer) are interfaced using a data acquisition card (DAQ) -Model PCI- 6024E. The voltage and Speed response is obtained using LABVIEW software. Using this software, group of motors’ speed can be controlled from different location using remote telemetry. The propose work also focuses on controlling the speed of the individual DC motor using PWM scheme (Duty cycle based Square wave generation) and DAQ. Help of the DAQ along with Lab VIEW front panel window, the DC motor speed and directions can be change easily in remote way. In order to test the proposed system the laboratory model for an 80W DC motor group (multi drive) is developed for different angular displacements and directions of the motor. The simulation model and experimental results conforms the advantages and robustness of the proposed centralized speed control.

scholarly journals The Internet of Things enhancing animal welfare and farm operational efficiency

2020 ◽  
Vol 87 (S1) ◽  
pp. 20-27
Author(s):  
Craig Michie ◽  
Ivan Andonovic ◽  
Christopher Davison ◽  
Andrew Hamilton ◽  
Christos Tachtatzis ◽  
...  
Keyword(s):  
Data Streams ◽  
Data Exchange ◽  
Low Cost ◽  
Operational Efficiency ◽  
Sensor Technology ◽  
Feeding Strategies ◽  
False Alarms ◽  
Accurate Identification ◽  
Feed Composition ◽  
Cloud Data

AbstractThe growth in wirelessly enabled sensor network technologies has enabled the low cost deployment of sensor platforms with applications in a range of sectors and communities. In the agricultural domain such sensors have been the foundation for the creation of decision support tools that enhance farm operational efficiency. This Research Reflection illustrates how these advances are assisting dairy farmers to optimise performance and illustrates where emerging sensor technology can offer additional benefits. One of the early applications for sensor technology at an individual animal level was the accurate identification of cattle entering into heat (oestrus) to increase the rate of successful pregnancies and thus optimise milk yield per animal. This was achieved through the use of activity monitoring collars and leg tags. Additional information relating to the behaviour of the cattle, namely the time spent eating and ruminating, was subsequently derived from collars giving further insights of economic value into the wellbeing of the animal, thus an enhanced range of welfare related services have been provisioned. The integration of the information from neck-mounted collars with the compositional analysis data of milk measured at a robotic milking station facilitates the early diagnosis of specific illnesses such as mastitis. The combination of different data streams also serves to eliminate the generation of false alarms, improving the decision making capability. The principle of integrating more data streams from deployed on-farm systems, for example, with feed composition data measured at the point of delivery using instrumented feeding wagons, supports the optimisation of feeding strategies and identification of the most productive animals. Optimised feeding strategies reduce operational costs and minimise waste whilst ensuring high welfare standards. These IoT-inspired solutions, made possible through Internet-enabled cloud data exchange, have the potential to make a major impact within farming practices. This paper gives illustrative examples and considers where new sensor technology from the automotive industry may also have a role.

MEMS Accelerometers Mini-Array (MAMA) - initial results and lessons learned

2020 ◽  
Author(s):  
Ran N. Nof ◽  
Angela I. Chung ◽  
Horst Rademacher ◽  
Richard M. Allen
Keyword(s):  
High Performance ◽  
Low Cost ◽  
Early Warning Systems ◽  
Lessons Learned ◽  
Point Sources ◽  
High Price ◽  
False Alarms ◽  
Seismic Stations ◽  
New Device ◽  
Lower Noise

<p>Most operational earthquake early warning systems (EEWS) consider earthquakes to be point-sources and have difficulty providing imminent and robust source locations and magnitudes, especially at the edge of the seismic network or where seismic stations are sparse. Mini-arrays have the potential to estimate reliable hypocentral locations by beam forming (FK-analysis) techniques. They can also characterize the rupture dimensions and account for finite-source effects, leading to more reliable estimates of ground motions for large magnitude earthquakes. In the past, the high price of multiple seismometers has made creating arrays cost- prohibitive. Here, we present a setup of two mini-arrays of a new low-cost (<$150) seismic acquisition unit based on a high-performance MEMS accelerometer around conventional seismic stations. The expected benefits of such an approach include decreasing alert-times, improving real-time shaking predictions and mitigating false alarms.</p><p>We will present our new 24-bit device details, benchmarks, and results from two MAMAs deployed at the UC Berkeley and Humboldt State University campuses. The new device shows lower noise levels than the currently available off-the-shelf 16-bit sensors, commonly used by several citizen-science projects (e.g. QCN, CSN, MyShake, etc.). This lower noise level enables us to record and process lower magnitude events. We show examples of back-azimuth calculations of M>=2.5 events at a range of <100km from the MAMA center and discuss some of the limitations and considerations of the MAMA deployments.</p>

scholarly journals Impact of a Local Low-Cost Ward-Based Response System in a Canadian Tertiary Care Hospital

2016 ◽  
Vol 2016 ◽  
pp. 1-8
Author(s):  
Andrea Blotsky ◽  
Louay Mardini ◽  
Dev Jayaraman
Keyword(s):  
Clinical Teaching ◽  
Tertiary Care Hospital ◽  
Low Cost ◽  
Tertiary Care ◽  
Medical Emergency ◽  
Care Hospital ◽  
Response System ◽  
Code Blue ◽  
Initial Intervention ◽  
Teaching Unit

Background. Medical emergency teams (METs) or rapid response teams (RRTs) facilitate early intervention for clinically deteriorating hospitalized patients. In healthcare systems where financial resources and intensivist availability are limited, the establishment of such teams can prove challenging.Objectives. A low-cost, ward-based response system was implemented on a medical clinical teaching unit in a Montreal tertiary care hospital. A prospective before/after study was undertaken to examine the system’s impact on time to intervention, code blue rates, and ICU transfer rates.Results. Ninety-five calls were placed for 82 patients. Median time from patient decompensation to intervention was 5 min (IQR 1–10), compared to 3.4 hours (IQR 0.6–12.4) before system implementation (p<0.001). Total number of ICU admissions from the CTU was reduced from 4.8/1000 patient days (±2.2) before intervention to 3.3/1000 patient days (±1.4) after intervention (IRR: 0.82,p=0.04(CI 95%: 0.69–0.99)). CTU code blue rates decreased from 2.2/1000 patient days (±1.6) before intervention to 1.2/1000 patient days (±1.3) after intervention (IRR: 0.51,p=0.02(CI 95%: 0.30–0.89)).Conclusion. Our local ward-based response system achieved a significant reduction in the time of patient decompensation to initial intervention, in CTU code blue rates, and in CTU to ICU transfers without necessitating additional usage of financial or human resources.

scholarly journals METHOD FOR DETECTING ANOMALIES OF SQL-SPECIFIC QUERY OF RELATIONAL DATABASES

2018 ◽  
Vol 22 (1) ◽  
pp. 53-61
Author(s):  
A. S. Markovskiy ◽  
N. I. Svekolkin
Keyword(s):  
Relational Databases ◽  
Statistical Data ◽  
Detection System ◽  
Low Cost ◽  
Point Of View ◽  
Practical Implementation ◽  
False Alarms ◽  
Formal Grammar ◽  
Processing And Storage ◽  
Sql Query

In the context of toughening of the requirements in the field of information security (the conditions of its safety) difficult-to-implement, the increasing number of external destabilizing factors (including the high level of false alarms), the increase of scopes and speed of information changes, and the drawbacks inherent to most databases, the probability of anomalies occurrence in the process of operation (acquisition, processing and storage) of relational databases is high. The article provides detailed description of the method for the construction a formal grammar executed by a SQL query of relational databases. This approach considers formal grammar under study from a mathematical point of view, as a model that defines a set of discrete objects in the form of description of the original objects and the rules for constructing new objects from the original and already created ones. Thus, a system of rules for further work is formed, represented in the form of a system of equations. The described method makes it possible to determine mathematical properties of the similarity invariants of the SQL query of relational databases intended for the collection, storage and analysis of statistical data, such as reference data of the operation of software and hardware, various statistical data about population, .production etc. The results of the testing of the demonstration prototype of the anomaly detection system, implemented on the basis of the proposed method, obtained in the course of the experimental implementation are presented in comparison with some existing and applied security systems. The solution proposed in the article is effective, simple and universal for the majority of currently used relational databases, In addition, it has a low cost of financial expenses in case of practical implementation.

scholarly journals Microwave sensors for detection of wild animals during pasture mowing

2005 ◽  
Vol 3 ◽  
pp. 211-217 ◽  
Author(s):  
A. Patrovsky ◽  
E. M. Biebl
Keyword(s):  
Water Content ◽  
Specular Reflection ◽  
Low Cost ◽  
Weather Conditions ◽  
High Water ◽  
High Water Content ◽  
False Alarms ◽  
Wild Animals ◽  
Time Frequency ◽  
Laboratory Setup

Abstract. More than 400000 wild animals are killed or severely injured every year during spring time pasture mowing. Conventional methods for detection and removal or expulsion of animals before mowing are either inefficient or very time-consuming. The first really working method is based on a pyro-detector which senses the temperature contrast between the animals body and the surrounding pasture. Unfortunately, the detection reliability of this sensor decreases with increasing ambient temperature and strong sunlight, i.e. for typical weather conditions, when pasture is mowed, especially around noon. In this paper, a detector is presented that exhibits complementary behaviour. It works best during dry conditions (i.e. around noon), but has a tendency to false alarms when dew is present (i.e. morning and evening). The sensor is based on a commercial, low-cost Doppler module at 24GHz. It senses the difference of radar cross section between the animals body (high water content, specular reflection) and the pasture (low water content, diffuse reflection). The signal is analysed by means of a non-linear Wigner time-frequency transformation. Experimental results are presented for a laboratory setup as well as for measurement in actual spring-time pasture. The results prove that a microwave sensor is capable of reliably detecting animals of the size of a fawn even if it is covered by a layer of pasture.

scholarly journals Development of a Low-Cost Remote Lab Concept for Electronic Engineering Education Based on NI myDAQ and NI ELVIS

2020 ◽  
Vol 16 (14) ◽  
pp. 18
Author(s):  
Christian Kreiter ◽  
Thomas Klinger
Keyword(s):  
Engineering Education ◽  
Virtual Instrument ◽  
Low Cost ◽  
Cost Effective ◽  
Entire System ◽  
Theoretical Concepts ◽  
Electronic Engineering ◽  
Remote Lab ◽  
Remote Labs ◽  
Small Set

Lab work and exercises are an essential part of Electronic Engineering Education as it improves understanding of the theoretical concepts. Remote Labs like VISIR (Virtual Instrument Systems in Reality) can supplement the learning process but are limited to a small set of components. Therefore, experiments with VISIR should be combined with prepared and fixed circuits.<br />This work presents an approach, where in the first step new exercises are de-veloped with the NI ELVIS platform, and later implemented with the much more cost-effective NI myDAQ platform. In general, the entire system is very inexpen-sive and scaleable, since a single PC can act as a host for a wide number of exer-cise boards, each of which is connected via a myDAQ.

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