An inkjet printed piezoresistive back-to-back graphene tactile sensor for endosurgical palpation applications

Yu Min Fu; Meng Chuin Chou; Yu Ting Cheng; Ethan B. Secor; Mark Hersam

doi:10.1109/MEMSYS.2017.7863482

An inkjet printed piezoresistive back-to-back graphene tactile sensor for endosurgical palpation applications

Yu Min Fu, Meng Chuin Chou, Yu Ting Cheng^*, Ethan B. Secor, Mark Hersam

^*Corresponding author for this work

Materials Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Abstract

The paper presents a tactile sensor design mimicking human finger touch to differentiate tissue hardness for endosurgical palpation applications. The sensor comprises two inkjet-printed piezoresistive graphene-based sensing elements linked back-to-back for force and displacement detection, respectively. Experimental results indicate the sensor registers 2.1 and 5.3 mN force feedback from the fat and muscle tissues of pig, respectively, when pressed to the tissues with the same 100 μm displacement. This difference of ∼2.5 times in force feedback provides a compelling method by which doctors can more intuitively perceive hardness and tissue differences during endosurgery in comparison with the prior arts.

Original language	English (US)
Title of host publication	2017 IEEE 30th International Conference on Micro Electro Mechanical Systems, MEMS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	612-615
Number of pages	4
ISBN (Electronic)	9781509050789
DOIs	https://doi.org/10.1109/MEMSYS.2017.7863482
State	Published - Feb 23 2017
Event	30th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2017 - Las Vegas, United States Duration: Jan 22 2017 → Jan 26 2017

Other

Other	30th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2017
Country/Territory	United States
City	Las Vegas
Period	1/22/17 → 1/26/17

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Mechanical Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/MEMSYS.2017.7863482

Cite this

Fu, Y. M., Chou, M. C., Cheng, Y. T., Secor, E. B., & Hersam, M. (2017). An inkjet printed piezoresistive back-to-back graphene tactile sensor for endosurgical palpation applications. In 2017 IEEE 30th International Conference on Micro Electro Mechanical Systems, MEMS 2017 (pp. 612-615). [7863482] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MEMSYS.2017.7863482

@inproceedings{bb73ddee7c234520b8fec579aa1a7eda,

title = "An inkjet printed piezoresistive back-to-back graphene tactile sensor for endosurgical palpation applications",

abstract = "The paper presents a tactile sensor design mimicking human finger touch to differentiate tissue hardness for endosurgical palpation applications. The sensor comprises two inkjet-printed piezoresistive graphene-based sensing elements linked back-to-back for force and displacement detection, respectively. Experimental results indicate the sensor registers 2.1 and 5.3 mN force feedback from the fat and muscle tissues of pig, respectively, when pressed to the tissues with the same 100 μm displacement. This difference of ∼2.5 times in force feedback provides a compelling method by which doctors can more intuitively perceive hardness and tissue differences during endosurgery in comparison with the prior arts.",

author = "Fu, {Yu Min} and Chou, {Meng Chuin} and Cheng, {Yu Ting} and Secor, {Ethan B.} and Mark Hersam",

year = "2017",

month = feb,

day = "23",

doi = "10.1109/MEMSYS.2017.7863482",

language = "English (US)",

pages = "612--615",

booktitle = "2017 IEEE 30th International Conference on Micro Electro Mechanical Systems, MEMS 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "30th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2017 ; Conference date: 22-01-2017 Through 26-01-2017",

}

Fu, YM, Chou, MC, Cheng, YT, Secor, EB & Hersam, M 2017, An inkjet printed piezoresistive back-to-back graphene tactile sensor for endosurgical palpation applications. in 2017 IEEE 30th International Conference on Micro Electro Mechanical Systems, MEMS 2017., 7863482, Institute of Electrical and Electronics Engineers Inc., pp. 612-615, 30th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2017, Las Vegas, United States, 1/22/17. https://doi.org/10.1109/MEMSYS.2017.7863482

An inkjet printed piezoresistive back-to-back graphene tactile sensor for endosurgical palpation applications. / Fu, Yu Min; Chou, Meng Chuin; Cheng, Yu Ting et al.

2017 IEEE 30th International Conference on Micro Electro Mechanical Systems, MEMS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 612-615 7863482.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - An inkjet printed piezoresistive back-to-back graphene tactile sensor for endosurgical palpation applications

AU - Fu, Yu Min

AU - Chou, Meng Chuin

AU - Cheng, Yu Ting

AU - Secor, Ethan B.

AU - Hersam, Mark

PY - 2017/2/23

Y1 - 2017/2/23

N2 - The paper presents a tactile sensor design mimicking human finger touch to differentiate tissue hardness for endosurgical palpation applications. The sensor comprises two inkjet-printed piezoresistive graphene-based sensing elements linked back-to-back for force and displacement detection, respectively. Experimental results indicate the sensor registers 2.1 and 5.3 mN force feedback from the fat and muscle tissues of pig, respectively, when pressed to the tissues with the same 100 μm displacement. This difference of ∼2.5 times in force feedback provides a compelling method by which doctors can more intuitively perceive hardness and tissue differences during endosurgery in comparison with the prior arts.

AB - The paper presents a tactile sensor design mimicking human finger touch to differentiate tissue hardness for endosurgical palpation applications. The sensor comprises two inkjet-printed piezoresistive graphene-based sensing elements linked back-to-back for force and displacement detection, respectively. Experimental results indicate the sensor registers 2.1 and 5.3 mN force feedback from the fat and muscle tissues of pig, respectively, when pressed to the tissues with the same 100 μm displacement. This difference of ∼2.5 times in force feedback provides a compelling method by which doctors can more intuitively perceive hardness and tissue differences during endosurgery in comparison with the prior arts.

UR - http://www.scopus.com/inward/record.url?scp=85015796147&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85015796147&partnerID=8YFLogxK

U2 - 10.1109/MEMSYS.2017.7863482

DO - 10.1109/MEMSYS.2017.7863482

M3 - Conference contribution

AN - SCOPUS:85015796147

SP - 612

EP - 615

BT - 2017 IEEE 30th International Conference on Micro Electro Mechanical Systems, MEMS 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 30th IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2017

Y2 - 22 January 2017 through 26 January 2017

ER -

An inkjet printed piezoresistive back-to-back graphene tactile sensor for endosurgical palpation applications

Abstract

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this