Sensors for Health Monitoring 2019
DOI: 10.1016/b978-0-12-819361-7.00004-x
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Compressive sensing in medical signal processing and imaging systems

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Cited by 22 publications
(13 citation statements)
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“…Potentially, optimization can improve the efficiency of the systems in a wide range of industrial applications like compressive sensing [6][7][8][9][10][11][12][13][14], optical instruments [15], power quality [16][17][18], sentiment mining [19], image adaptation [20,21], sentiment mining [19], data mining [22][23][24], power line communications [25], featuring big data [26], location-based service [27], telecommunications [28][29][30][31][32][33], analysis of texture [34], planning power system [35], public transportation systems [36], faulty condition diagnosis in agriculture machinery [37][38][39], interaction of human and robot [40], medical images [34,41,42], study of human motion [43], noise removal [44,45], smart ambient [46], electrocardiogram processing [47][48]…”
Section: Introductionmentioning
confidence: 99%
“…Potentially, optimization can improve the efficiency of the systems in a wide range of industrial applications like compressive sensing [6][7][8][9][10][11][12][13][14], optical instruments [15], power quality [16][17][18], sentiment mining [19], image adaptation [20,21], sentiment mining [19], data mining [22][23][24], power line communications [25], featuring big data [26], location-based service [27], telecommunications [28][29][30][31][32][33], analysis of texture [34], planning power system [35], public transportation systems [36], faulty condition diagnosis in agriculture machinery [37][38][39], interaction of human and robot [40], medical images [34,41,42], study of human motion [43], noise removal [44,45], smart ambient [46], electrocardiogram processing [47][48]…”
Section: Introductionmentioning
confidence: 99%
“…Although, in a point of view, identification of the most important parameters can be categorized as an optimization of the process of acquiring the information needed to make an optimum decision, it is different from the known optimization processes wherein a search technique is used for finding an optimum solution from a search space. Optimization techniques are in use in a variety of technical fields from power quality measurement [20][21][22] to medical engineering [23]. Additionally, it is getting to be deployed in sentiment mining [24], agriculture machines diagnostics [25][26][27], services based on location [28], extraction of features from big data [29], telecommunications [30][31][32][33][34][35], software-intensive systems [36], power line communications [37], processing medical images [38][39][40], public systems for transportation [41], power system planning [42,43], texture analysis [44], adaptation of image adaptation [45], human-robot interaction [46], data mining [47][48][49], noise cancellation [50,51], analysis of human motion [52], smart environment [53], electrocardiogram processing [54][55][56], etc.…”
Section: Introductionmentioning
confidence: 99%
“…Optimization has a great potential of application in a variety of industrial fields such as optical instruments [20], public transportation systems [21], power analysis [22][23][24], sentiment mining [25], big data featuring [26], location-based service [27], power line communications [28], sentiment mining [25], image adaptation [29,30], the transmission of medical image and signal [31][32][33][34][35][36][37][38][39], faulty condition diagnosis in agriculture machinery [40][41][42], study of human motion [43], data mining [44][45][46], planning power system [47,48], analysis of texture [49], telecommunications [50][51][52][53][54][55], interaction of human and robot [56], medical images [49,57,58], smart ambient [59], noise removal [60,61], electrocardiogram processing [62]…”
Section: Introductionmentioning
confidence: 99%