Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
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Conf Proc IEEE Eng Med Biol Soc · Jan 2004
A wireless ECG system for continuous event recording and communication to a clinical alarm station.
Development of new wearable biomedical sensors within a wireless infrastructure opens up possibilities for new telemedical applications leading to significant improvements in continuous monitoring, and thereby to better quality of patient care. In this paper we describe a new concept for a wireless electrocardiogram (ECG) system intended for continuous monitoring of ECG activity especially designed for arrhythmia diagnostic purposes. The patient is wearing an ECG sensor, "a smart electronic electrode", with wireless transmission of ECG signals to a dedicated hand held device (HHD). ⋯ Based on this, the device will transmit alarm conditions to a remote clinical alarm station (CAS). The system will act as a continuous event recorder, which can be used to follow up patients who have survived cardiac arrest, ventricular tachycardia or cardiac syncope but also for diagnostic purposes for patients with diffuse arrhythmia symptoms. This paper describes the principle design requirements for the new wireless ECG sensor and system design for the HHD in order to transfer detected alarms to the CAS.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2004
Accurate derivation of heart rate variability signal for detection of sleep disordered breathing in children.
The electrocardiogram (ECG) signal is used extensively as a low cost diagnostic tool to provide information concerning the heart's state of health. Accurate determination of the QRS complex, in particular, reliable detection of the R wave peak, is essential in computer based ECG analysis. ECG data from Physionet's Sleep-Apnea database were used to develop, test, and validate a robust heart rate variability (HRV) signal derivation algorithm. ⋯ All signal processing algorithms were implemented in MATLAB. We present a description of the EHT algorithm and analyze pilot data for eight children undergoing nocturnal polysomnography. The pilot data demonstrated that the EHT method provides an accurate way of deriving the HRV signal and plays an important role in extraction of reliable measures to distinguish between periods of normal and sleep disordered breathing (SDB) in children.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2004
Subband EEG complexity after global hypoxic-ischemic brain injury.
Hypoxic-ischemic (HI) brain injury after cardiac arrest (CA) causes the main morbidity and mortality of the patients. The mechanism of HI neurological injury and its real time detection and monitoring have been extensively studied in the past years. The electroencephalogram (EEG) following CA has been investigated to provide a noninvasive monitoring strategy. ⋯ The "alpha vulnerability" in rhythmic complexity is observed, which indicated that among different EEG rhythmic subbands, alpha wave shows a distinct SampEn decrease during the early recovery period after HI injury. The alpha vulnerability is confirmed by our previous research on the vulnerability in thalamic somatosensory pathway. The results may help us develop means to restore electrical function recovery after HI.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2004
Physiologically-based minimal model of agitation-sedation dynamics.
Agitation-sedation cycling in critically ill patients, characterized by oscillations between states of agitation and over-sedation, damages patient health and increases length of stay and cost. The model presented captures the essential dynamics of the agitation-sedation system, is physiologically representative, and is validated by accurately simulating patient response for 37 critical care patients. The model provides a platform to develop and test controllers that offer the potential of improved agitation management.
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Conf Proc IEEE Eng Med Biol Soc · Jan 2004
The square peg and the round hole: Murphy's Law and medical device connections.
Engineers have long been aware of Murphy's Law: If anything can go wrong, it will. When applied to medical device design, Murphy's Law indicates that if there is a way that a medical device can be set up incorrectly then someday, somewhere it will be set up incorrectly. ⋯ This paper focuses on electrical and other connectors incorporated into medical device designs. Examples of potential and actual misconnections, from the earliest days of clinical engineering to the present, are presented and discussed.