2000
DOI: 10.1016/s0924-4247(99)00165-x
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High-performance magnetoresistive sensors

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Cited by 12 publications
(5 citation statements)
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“…In recent years, the magnetoresistive sensors based on anisotropic magnetoresistive (AMR) have attracted great attention owing to their high sensitivity at weak magnetic fields, the flexibility of the design, and compatibility with standard microelectronics technology [1][2][3][4][5]. The magnetoresistive sensors are commonly used for magnetic bead detection [6], biosensors and biochips [7,8], applications to microcompass [9], and flexible magnetic sensors [10,11].…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, the magnetoresistive sensors based on anisotropic magnetoresistive (AMR) have attracted great attention owing to their high sensitivity at weak magnetic fields, the flexibility of the design, and compatibility with standard microelectronics technology [1][2][3][4][5]. The magnetoresistive sensors are commonly used for magnetic bead detection [6], biosensors and biochips [7,8], applications to microcompass [9], and flexible magnetic sensors [10,11].…”
Section: Introductionmentioning
confidence: 99%
“…The common sensors use anisotropic magnetoresistance (AMR) [2,3], giant magnetoresistance (GMR) [4], or spin-dependent tunneling [5]. To increase the field at the sensor, it is often placed between soft ferromagnetic material called flux concentrators.…”
Section: Introductionmentioning
confidence: 99%
“…HMC1502 [4] is a dual-axis anisotropic magnetoresistance (AMR) [5] magnetometer. It is mounted on a TelosB [6] mote and together they constitute the magnetometer setup.…”
Section: A Data Collectionmentioning
confidence: 99%
“…Let D be the total number of datasets available (D = 234) and RM SE i be the RM SE value for the i th dataset, then the Average RM SE denoted by RM SE is computed as follows. Table I based on equation (5). As the value of L increases, the RM SE value increases.…”
Section: Proposed Algorithm -Segmented Magnetic Field Angle Algorimentioning
confidence: 99%