2019
DOI: 10.1109/tbcas.2019.2946875
|View full text |Cite
|
Sign up to set email alerts
|

A Multi-Functional Physiological Hybrid-Sensing E-Skin Integrated Interface for Wearable IoT Applications

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
11
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 22 publications
(11 citation statements)
references
References 25 publications
0
11
0
Order By: Relevance
“…That is much better than the popular photoelectric pulse wave sensors that output low-precision signals. On the other hand, the relative height of these peaks is helpful for analyzing cardiovascular diseases of the human body; thus, the FPS might be applied to home medical monitoring systems for auxiliary diagnosis. , To demonstrate the pressure mapping ability of the capacitive FPS, a 4 × 6 sensor microarray (unit size: 1.5 × 1 mm) was fabricated in combination with the flexible printed circuit (FPC) process as shown in Figure S9. The 24 channels of capacitance signal were transformed by two analog to digital converters (AD7147, Analog Devices) and processed by a microcontroller (STM32 F407, STM microelectronics).…”
Section: Resultsmentioning
confidence: 99%
“…That is much better than the popular photoelectric pulse wave sensors that output low-precision signals. On the other hand, the relative height of these peaks is helpful for analyzing cardiovascular diseases of the human body; thus, the FPS might be applied to home medical monitoring systems for auxiliary diagnosis. , To demonstrate the pressure mapping ability of the capacitive FPS, a 4 × 6 sensor microarray (unit size: 1.5 × 1 mm) was fabricated in combination with the flexible printed circuit (FPC) process as shown in Figure S9. The 24 channels of capacitance signal were transformed by two analog to digital converters (AD7147, Analog Devices) and processed by a microcontroller (STM32 F407, STM microelectronics).…”
Section: Resultsmentioning
confidence: 99%
“…Fig. 4(a) shows an architecture of the customized ROIC, and it mainly includes biopotential [20] and bio-impedance analog front-ends, and a successive approximation register analog-todigital converter (SAR-ADC) [21]. The biopotential and bioimpedance AFEs acquire the ECG and bio-impedance signals at each, and SAR-ADC simultaneously converts the biosignals to digital data.…”
Section: B Architecture Of Customized Roicmentioning
confidence: 99%
“…The IPG signal is a very small AC impedance (< 1Ω), but a very large DC impedance (> hundreds Ω) due to the body component is also measured when the IPG signal acquisition [23]. Therefore, DC-artifact cancellation scheme is necessary to sufficiently amplify the desired biopotential and bio-impedance signals, and an analog DC-servo loop (DSL) [14], [20] is a widely used circuit structure to remove the DC artifacts by implementing a HPF characteristic. However, there is a trade-off between implementations of the low HPF cutoff frequency and the wide IDO cancellation range, and if the HPF cutoff frequency is not low enough, inaccurate PTT is obtained by a phase shift which degrades an accuracy of the PTT-based BP estimation.…”
Section: B Architecture Of Customized Roicmentioning
confidence: 99%
“…In most cases, accessorytype wearable devices fail to provide an accurate electrode-based physiological detection capability due to unreliable body contact. Therefore, many recent research interests have moved to attachable body devices, including patch and sticker type devices [6][7][8][9][10]. Flexible sensing electrodes are required to implement these attachable devices, and modules should be miniaturized to provide comfortable body wearing.…”
Section: Introductionmentioning
confidence: 99%