Multiple Functional ECG Signal is Processing for Wearable Applications of Long-Term Cardiac Monitoring

Liu, Xin; Zheng, Yuanjin; Phyu, Myint Wai; Zhao, Bin; Je, Minkyu; Yuan, Xiaojun

doi:10.1109/tbme.2010.2061230

Cited by 73 publications

(46 citation statements)

References 20 publications

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“…While the underlying technology is becoming both more miniaturized and more robust [37,64,75], various probes have been introduced. Generic, ambulatory, wearable ECG systems [58,77], empathic chairs [4], and digital plasters [106] have been introduced. It seems that sensor networks' and wearable sensors' main drawbacks is that of many wireless applications, such as your laptop: battery life [1,37,64,106,110].…”

Section: Resultsmentioning

confidence: 99%

“…Until recently, this has prevented biosignals being incorporated into consumer products. However, with the progress of wearable computing and wireless sensing technologies in the last decade, this problem quickly vanishes [2,23,37,58,64,75,77,106,110]. In parallel, biosignal recording, even with a certain amount of obtrusiveness, is embraced by the general public in Western societies (e.g., real-time ECG processing to guide athletes).…”

Section: Ubiquitous Signals Of Emotionmentioning

confidence: 99%

“…ECG can be measured directly from the chest. Where Blood Volume Pulse (BVP) can already be recorded rather unobtrusively for some time, it would seem that it will also be possible soon for ECG [58,77]. Previous research identified various features of ECG as indicators for both experienced valence and arousal [3,15,18,71].…”

Section: Ubiquitous Signals Of Emotionmentioning

confidence: 99%

“…Nowadays, not only speech and computer vision but also biosignals such as ECG can be applied completely unobtrusively [2,23,37,58,64,75,77,106,110]. Speech and biosignals are par excellence suitable for personalized and ubiquitous emotion-aware computing technology.…”

Section: The Five Issues Under Investigationmentioning

confidence: 99%

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Ubiquitous emotion-aware computing

Broek

2011

Pers Ubiquit Comput

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Emotions are a crucial element for personal and ubiquitous computing. What to sense and how to sense it, however, remain a challenge. This study explores the rare combination of speech, electrocardiogram, and a revised Self-Assessment Mannequin to assess people's emotions. 40 people watched 30 International Affective Picture System pictures in either an office or a living-room environment. Additionally, their personality traits neuroticism and extroversion and demographic information (i.e., gender, nationality, and level of education) were recorded. The resulting data were analyzed using both basic emotion categories and the valence-arousal model, which enabled a comparison between both representations. The combination of heart rate variability and three speech measures (i.e., variability of the fundamental frequency of pitch (F0), intensity, and energy) explained 90% (p \ .001) of the participants' experienced valence-arousal, with 88% for valence and 99% for arousal (ps \ .001). The six basic emotions could also be discriminated (p \ .001), although the explained variance was much lower: 18-20%. Environment (or context), the personality trait neuroticism, and gender proved to be useful when a nuanced assessment of people's emotions was needed. Taken together, this study provides a significant leap toward robust, generic, and ubiquitous emotion-aware computing.

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Section: Resultsmentioning

confidence: 99%

Section: Ubiquitous Signals Of Emotionmentioning

confidence: 99%

Section: Ubiquitous Signals Of Emotionmentioning

confidence: 99%

Section: The Five Issues Under Investigationmentioning

confidence: 99%

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Ubiquitous emotion-aware computing

Broek

2011

Pers Ubiquit Comput

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“…One of the cardiac diseases, bradycardia sometimes results in fainting, shortness of breath, and if severe enough, death [1,2]. It is defined as a heart rate less than 60 bpm although it is seldom symptomatic until the rate drops below 50˚bpm [3]. This occurs because people with bradycardia may not be pumping enough oxygen to their own heart causing heart attack-like symptoms.…”

Section: Introductionmentioning

confidence: 99%

A Novel Design of Fuzzy PID Controllers for Dual-Sensor Cardiac Pacemaker Systems

Shi¹

2013

OJAB

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This work proposes to design a fuzzy proportional-integral derivative (FPID) controller for dual-sensor cardiac pacemaker systems, which can automatically control the heart rate to accurately track a desired preset profile. The combination of fuzzy logic and conventional PID control approaches is adopted for the controller design based on dual-sensors. This controller offers good adaptation of the heart rate to the physiological needs of the patient under different states (rest and walk). Through comparing with the conventional fuzzy control algorithm, FPID provides a more suitable control strategy to determine a pacing rate in order to achieve a closer match between actual heart rate and a desired profile. To assist the heartbeat recovery, the stimuli with adjustable pacing rate is generated by the pacemaker according to the FPID controller, such actual heart rate may track the preset heart rate faithfully. Simulation results confirm that this proposed control design is effective for heartbeat recovery and maintenance. This study will be helpful not only for the analysis and treatment of bradycardias but also for improving the performance of medical devices.

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Differential photon waves imaging

Kazancı

2020

Int J Imaging Syst Tech

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Imaging philosophy was simulated for well‐known biomedical diffuse optical imaging (DOI) methodology. It runs based on the differential photon waves. The underlying philosophy of imaging methodology takes its origin from the distance of the same molecule types. Inherently, each type of biological molecules has different molecular structure, size, and binding distance. Molecules might be water, oxy‐hemoglobin, deoxyhemoglobin, ATP, pepsin, cholesterol, protein, fats or lipids, hydroxyapatite, carbohydrates, glucose, glycogen, DNA, etc. These molecules need to be grouped for biomedical photon imaging purposes such as in hair, skull, scalp, cortex, dermis, epidermis, cerebrospinal fluid, cerebellar gray and white matter for neuroimaging; or skin, fat, water for breast imaging; optic nerve, humor aqueous for eye imaging; bones and joints for skeletal system imaging; liver, muscle, fibroadenoma breast, mucous tissue, nodule, bowel, heart, kidneys, lung, stomach, whole blood vascular system for inner organs. Among these different types of molecular structures, each type has different characteristic photon absorption and scattering coefficients for corresponding wavelength. Researchers have been using these characteristic wavelengths to reconstruct the images. They have focused on either absorption or scattering maximums of specific wavelengths for each tissue type. This is right when the molecules are investigated first, but it is a dead‐end when it goes deep tissue, since low‐power laser photons scatter randomly when they penetrate inside the tissue, immediately. Novel approach uses phase‐shifted group photon waves corresponding to the molecular distances. Single photon wavelength can be used to investigate the molecules inside the imaging media.

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Multiple Functional ECG Signal is Processing for Wearable Applications of Long-Term Cardiac Monitoring

Cited by 73 publications

References 20 publications

Ubiquitous emotion-aware computing

Ubiquitous emotion-aware computing

A Novel Design of Fuzzy PID Controllers for Dual-Sensor Cardiac Pacemaker Systems

Differential photon waves imaging

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