New method for analysing sensitivity distributions of electroencephalography measurements

Väisänen, Juho; Väisänen, Outi; Malmivuo, Jaakko; Hyttinen, Jari

doi:10.1007/s11517-007-0303-x

Cited by 13 publications

(26 citation statements)

References 24 publications

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“…Tra¨ga˚rdh et al 33 have recently published a good review of these clinical studies. The present aim was to demonstrate and validate the use of a modelingbased method called the region of interest sensitivity ratio (ROISR) 35 in analyzing the specificity of ECG measurement lead.…”

Section: Introductionmentioning

confidence: 99%

“…An analysis method has been developed to assess the properties of leads to measure a given ROI area based on the sensitivity distributions of bioelectric measurements. 28,34,35 In Vaisanen et al 35 the ROISR method was introduced and applied in describing how specific the bipolar electroencephalography (EEG) measurement is to the activation arising in the ROI compared to other source regions in the volume conductor.…”

Section: Introductionmentioning

confidence: 99%

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Region of Interest Sensitivity Ratio in Analyzing Sensitivity Distributions of Electrocardiographic Measurements

Väisänen

Hyttinen

2009

Ann Biomed Eng

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Modern devices such as wearable and implantable systems provide new methods for bioelectric measurement while creating new needs to assess the efficacy of the measurements. A modeling related analysis method, called the region of interest sensitivity ratio (ROISR), has been developed and applied hitherto in analyzing EEG measurements. ROISR describes how well the sensitivity of a measurement is concentrated within the region of interest (ROI). The objectives of the present study were to demonstrate and evaluate the applicability of this method in analyzing the specificity of ECG leads and to compare the results with those previously published. Here the specificities of the 117 leads of a Dalhousie body surface ECG mapping system to different segments of the left ventricular myocardium and the whole right ventricular free wall were analyzed. The ROISR method was also validated with epicardial dipole simulations. The results are consistent with those from previous clinical studies, and the ROISR method is thus applicable in future studies where, e.g., sensitivity distributions of implantable ECG measurements are analyzed.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Region of Interest Sensitivity Ratio in Analyzing Sensitivity Distributions of Electrocardiographic Measurements

Väisänen

Hyttinen

2009

Ann Biomed Eng

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“…Also, by combining sensitivity distribution models and numerical simulations of cardiac dynamics, Requena-Carrión et al proposed the resolution volume (ResV) for quantifying lead spatial resolution (Requena-Carrión et al, 2007). The ResV was defined as the bioelectric region that contributes to a given fraction of the measured signal power, and it was used for quantifying the spatial resolution of surface ECG leads (Requena-Carrión et al, 2007) and intracardiac leads in ICD (Requena-Carrión et al, 2009 the region of interest sensitivity ratio (ROISR), defined as the ratio between the average sensitivities of any two regions within the bioelectric source (Väisänen et al, 2008). The ROISR allowed to quantify the specificity of EEG (Väisänen et al, 2008) and surface ECG measurements (Väisänen & Hyttinen, 2009).…”

Section: Principles Of Bioelectric Signals Measurementmentioning

confidence: 99%

“…The ResV was defined as the bioelectric region that contributes to a given fraction of the measured signal power, and it was used for quantifying the spatial resolution of surface ECG leads (Requena-Carrión et al, 2007) and intracardiac leads in ICD (Requena-Carrión et al, 2009 the region of interest sensitivity ratio (ROISR), defined as the ratio between the average sensitivities of any two regions within the bioelectric source (Väisänen et al, 2008). The ROISR allowed to quantify the specificity of EEG (Väisänen et al, 2008) and surface ECG measurements (Väisänen & Hyttinen, 2009). In summary, the lead sensitivity distribution constitutes both a useful theoretical tool for understanding the nature of bioelectric signals, and a useful practical tool for describing quantitatively the sensing properties of measurement leads.…”

Section: Principles Of Bioelectric Signals Measurementmentioning

confidence: 99%

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Analysis of the Lead Sensitivity Distribution in Implantable Cardioverter Defibrillator

Requena‐Carrión¹,

Väisänen²,

Hyttinen³

et al. 2011

Cardiac Defibrillation - Mechanisms, Challenges and Implications

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From Sinewaves to Physiologically-Adaptive Soundscapes: The Evolving Relationship Between Sound and Emotion in Video Games

Garner

2016

Emotion in Games

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Play constitutes one of our first deliberate activities in life, providing the first opportunity for interaction with objects, devices and other children or grown-ups, months before walking, talking or acquiring advanced tactile abilities. Later on in life, play becomes the basis of forming small or larger groups and identifying rules which need to be respected in order to function within those groups: players of a school basketball team have different roles and competencies, and they all have to work towards the common good of the team, while following the rules of the game, in order to succeed. In this framework, play, especially in social situations, becomes a powerful inducer of emotions, based on its outcome and the dynamics between team members and opponents. In the case of digital games, devices have now the ability to sense player emotion, through cameras, microphones, physiological sensors and player behaviour within the game world, and utilise that information to adapt gameplay accordingly or generate content predicted to improve the player experience and make the game more engaging or interesting. This book attempts to encompass the concepts that make up the big picture of emotion for and from digital gaming, starting from psychological concepts and approaches, such as modelling of emotions and player experience, to sensing and adapting to emotion, and to discuss applications of emotion-aware gaming in selected concepts and robotics. As work on emotion in games is highly multidisciplinary by nature and important to several areas of research and development, we carefully selected and invited scholars with pioneering work and recognised contributions in game studies, entertainment psychology, affective computing, game design, procedural content generation, interactive narrative, robotics, intelligent agents, natural interaction and interaction design. The result is a holistic perspective over the area of emotion in games as viewed by the variant research angles offered by the different research fields. Based on the received chapter contributions, this book is divided in three main parts: Theory, Emotion Modelling and Affect-Driven Adaptation and Applications. Bateman opens the first part of the book (Theory) by examining the question of why we like to play in "The Aesthetic Motives of Play".

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New method for analysing sensitivity distributions of electroencephalography measurements

Cited by 13 publications

References 24 publications

Region of Interest Sensitivity Ratio in Analyzing Sensitivity Distributions of Electrocardiographic Measurements

Region of Interest Sensitivity Ratio in Analyzing Sensitivity Distributions of Electrocardiographic Measurements

Analysis of the Lead Sensitivity Distribution in Implantable Cardioverter Defibrillator

From Sinewaves to Physiologically-Adaptive Soundscapes: The Evolving Relationship Between Sound and Emotion in Video Games

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