False Alarm Rejection for ICU ECG Monitoring

2020 ◽  
pp. 215-226
Author(s):  
Jian Dai ◽  
Zehui Sun ◽  
Xianliang He
Keyword(s):  
False Alarm ◽  
Ecg Monitoring

Hit and False-Alarm Rates of Selected ABR Indices in Differentiating Cochlear Disorders From Acoustic Tumors

1996 ◽  
Vol 5 (1) ◽  
pp. 90-96 ◽  
Author(s):  
Frank E. Musiek ◽  
Cynthia A. McCormick ◽  
Raymond M. Hurley
Keyword(s):  
False Alarm ◽  
Amplitude Ratio ◽  
High Specificity ◽  
Auditory Brainstem ◽  
Latency Difference ◽  
Cochlear Pathology ◽  
Brainstem Response ◽  
Absolute Latency ◽  
Two Indices ◽  
Low Sensitivity

We performed a retrospective study of 26 patients with acoustic tumors and 26 patients with otologically diagnosed cochlear pathology to determine the sensitivity (hit rate), specificity (false-alarm rate), and efficiency of six auditory brainstem response indices. In addition, a utility value was determined for each of these six indices. The I–V interwave interval, the interaural latency difference, and the absolute latency of wave V provided the highest hit rates, the best A’ values and good utility. The V/I amplitude ratio index provided high specificity but low sensitivity scores. In regard to sensitivity and specificity, using the combination of two indices provided little overall improvement over the best one-index measures.

The Fusion of False Alarm and False Hope

1985 ◽  
Vol 30 (3) ◽  
pp. 207-208
Author(s):  
Jeffrey Z. Rubin
Keyword(s):  
False Alarm

Multiple faults detection and isolation approach applied to a kraft recovery boiler

TAPPI Journal ◽  
2014 ◽  
Vol 13 (1) ◽  
pp. 33-41
Author(s):  
YVON THARRAULT ◽  
MOULOUD AMAZOUZ
Keyword(s):  
Fault Detection ◽  
Early Detection ◽  
False Alarm ◽  
False Alarm Rate ◽  
Principal Component ◽  
Fault Isolation ◽  
Fault Detection And Isolation ◽  
Detection Scheme ◽  
Multiple Faults ◽  
Recovery Boiler

Recovery boilers play a key role in chemical pulp mills. Early detection of defects, such as water leaks, in a recovery boiler is critical to the prevention of explosions, which can occur when water reaches the molten smelt bed of the boiler. Early detection is difficult to achieve because of the complexity and the multitude of recovery boiler operating parameters. Multiple faults can occur in multiple components of the boiler simultaneously, and an efficient and robust fault isolation method is needed. In this paper, we present a new fault detection and isolation scheme for multiple faults. The proposed approach is based on principal component analysis (PCA), a popular fault detection technique. For fault detection, the Mahalanobis distance with an exponentially weighted moving average filter to reduce the false alarm rate is used. This filter is used to adapt the sensitivity of the fault detection scheme versus false alarm rate. For fault isolation, the reconstruction-based contribution is used. To avoid a combinatorial excess of faulty scenarios related to multiple faults, an iterative approach is used. This new method was validated using real data from a pulp and paper mill in Canada. The results demonstrate that the proposed method can effectively detect sensor faults and water leakage.

Telemonitoring in Heart Failure Rehabilitation

2011 ◽  
Vol 7 (1) ◽  
pp. 66 ◽  
Author(s):  
Ewa Piotrowicz ◽  
Ryszard Piotrowicz ◽  
◽  
Keyword(s):  
Heart Failure ◽  
Cardiac Rehabilitation ◽  
Ecg Monitoring ◽  
Heart Rate Monitoring ◽  
Electrocardiographic Monitoring ◽  
Number Of Patients ◽  
Patients With Heart Failure ◽  
Related Quality ◽  
Health Related

Exercise training (ET) is now recommended as an important component of a comprehensive approach to patients with heart failure (HF). Despite the existence of proven benefits of ET, many HF patients remain physically inactive. Introducing telerehabilitation (TR) may eliminate most of the factors that result in the currently low number of patients undergoing outpatient-based rehabilitation programmes and thus increase the percentage of those who will undergo cardiac rehabilitation. Despite the fact that TR is highly applicable and effective, there are few papers dedicated to the study of TR in HF patients. Until recently, only a couple of home rehabilitation-monitoring models have been presented, from the simplest, i.e. heart rate monitoring and transtelephonic electrocardiographic monitoring, through to the more advanced tele-electocardiogram (tele-ECG) monitoring (via a remote device) and realtime electrocardiographic and voice transtelephonic monitoring. It seems the last two are the most useful and reliable. Based on published studies, TR in HF patients could be equally effective as and provide similar improvements in health-related quality of life to standard outpatient cardiac rehabilitation. In addition, adherence to cardiac rehabilitation seems to be better during TR. Due to disease-related limitations, TR seems to be a viable alternative for comprehensive cardiac rehabilitation in HF patients. Further studies are needed to confirm the utility of this type of rehabilitation in routine clinical practice, including its cost-effectiveness. Because of the diversity of technological systems, it is necessary to create a platform to ensure compatibility between the devices used in telemedicine.

Home ECG monitoring of high-risk post myocardial infarction patients

2009 ◽  
Vol 150 (21) ◽  
pp. 985-988 ◽  
Author(s):  
János Tomcsányi ◽  
Péter Bezzeg
Keyword(s):  
Myocardial Infarction ◽  
High Risk ◽  
Post Myocardial Infarction ◽  
Ecg Monitoring

Az akut coronariaintervenció korában a myocardialis infarctust elszenvedő beteg nagyon gyorsan, néhány nap után haza vagy rehabilitációra kerül. A betegeknek a halálozása ugyanakkor az infarktust követő első hónapban a legmagasabb. Az elsősorban veszélyeztetettek a jelentős szívizomvesztést elszenvedő, csökkent szisztolés bal kamrai funkciójú betegek. Fontos lehet ezért ezen betegeknél – a telemedicina fejlődésével lehetőséget teremtő – új módszerek kidolgozása a ritmuszavarok otthoni monitorozására. Célkitűzés: Annak vizsgálata, hogy internetalapú folyamatos otthoni aritmiamonitorozás milyen biztonságossággal alkalmazható akut myocardialis infarctust elszenvedő, coronariaintervención átesett, csökkent balkamra-funkciójú betegeknél a hazabocsátás utáni első hónapban. Módszer: Számos transztelefonos EKG-monitor-rendszer működik, de a szerzők egy olyan új technológiával szerzett tapasztalataikat ismertetik, ahol a beteg aktivációjától független, folyamatos EKG-észlelés zajlik interneten keresztül. Az internettel nem rendelkező betegeknél kifejlesztésre került egy mobil internetre csatlakozó vevőegység is. Eredmények: Tíz, infarktus után otthonába távozó, 40% alatti ejekciós frakcióval rendelkező betegnél végeztünk monitorozást. A mérések kumulatív ideje összesen 170 nap volt. A teljesen zajmentes időszak 98% volt, hibamentes EKG 99% volt. Hatvanhat összes alarm átlagos nyugtázási ideje 27 szekundum volt. Az alarm/nap 0,39-nak adódott, és a riasztások pozitív prediktivitása 0,106 volt. Az összes alarmidő 29,8 percnek adódott, ami napi bontásban 10,5 szekundumot jelentett. Következtetések: Módszerünk alkalmasnak látszik a kórházból hazakerült betegek otthoni monitorozására úgy, hogy viszonylag nagy százalékban lehet hibamentes EKG-t regisztrálni a kifejlesztett mellpánt segítségével. Az alacsony riasztási idő azt jelenti, hogy sok beteg egyszerre történő monitorozása is kellő biztonsággal megoldható. A fenti módszert és eredményeinket azért tartjuk fontosnak bemutatni, mert ilyen „szoros” otthoni monitorozásról sem publikációt, sem terméket, illetve szolgáltatást nem találtunk.

Design of Portable Electrocardiograph Monitoring System

2020 ◽  
Author(s):  
Jia Hua-Ping ◽  
Zhao Jun-Long ◽  
Liu Jun
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Data Storage ◽  
P Wave ◽  
Ecg Monitoring ◽  
The Public ◽  
Ecg Signals ◽  
Early Warning Mechanism ◽  
Timely Treatment ◽  
Ecg Data

Cardiovascular disease is one of the major diseases that threaten the human health. But the existing electrocardiograph (ECG) monitoring system has many limitations in practical application. In order to monitor ECG in real time, a portable ECG monitoring system based on the Android platform is developed to meet the needs of the public. The system uses BMD101 ECG chip to collect and process ECG signals in the Android system, where data storage and waveform display of ECG data can be realized. The Bluetooth HC-07 module is used for ECG data transmission. The abnormal ECG can be judged by P wave, QRS bandwidth, and RR interval. If abnormal ECG is found, an early warning mechanism will be activated to locate the user’s location in real time and send preset short messages, so that the user can get timely treatment, avoiding dangerous occurrence. The monitoring system is convenient and portable, which brings great convenie to the life of ordinary cardiovascular users.

Chest pain in pregnancy: a false alarm

2019 ◽  
Vol 178 (3) ◽  
Author(s):  
Muhammad Azrai Abu ◽  
Kah T. Chew ◽  
Abdul G. Nur Azurah ◽  
Mohammad Shawal Faizal ◽  
Chai S. Ngiu ◽  
...  
Keyword(s):  
Chest Pain ◽  
False Alarm ◽  
In Pregnancy

Proposed Hybrid Classifier to Improve Network Intrusion Detection System using Data Mining Techniques

2020 ◽  
Vol 38 (1B) ◽  
pp. 6-14
Author(s):  
ٍٍSarah M. Shareef ◽  
Soukaena H. Hashim
Keyword(s):  
Intrusion Detection ◽  
False Alarm ◽  
Intrusion Detection System ◽  
Detection System ◽  
Multinomial Logistic Regression ◽  
Network Intrusion Detection ◽  
Limiting Factor ◽  
Network Intrusion ◽  
Network Intrusion Detection System ◽  
Normal Behavior

Network intrusion detection system (NIDS) is a software system which plays an important role to protect network system and can be used to monitor network activities to detect different kinds of attacks from normal behavior in network traffics. A false alarm is one of the most identified problems in relation to the intrusion detection system which can be a limiting factor for the performance and accuracy of the intrusion detection system. The proposed system involves mining techniques at two sequential levels, which are: at the first level Naïve Bayes algorithm is used to detect abnormal activity from normal behavior. The second level is the multinomial logistic regression algorithm of which is used to classify abnormal activity into main four attack types in addition to a normal class. To evaluate the proposed system, the KDDCUP99 dataset of the intrusion detection system was used and K-fold cross-validation was performed. The experimental results show that the performance of the proposed system is improved with less false alarm rate.

Sign in / Sign up

Export Citation Format

Share Document