title: Wireless prototype based on pressure and bending sensors for measuring gait [corrected] quality.
abstract: This paper presents a technological solution based on sensors controlled remotely in order to monitor, track and evaluate the gait quality in people with or without associated pathology. Special hardware simulating a shoe was developed, which consists of three pressure sensors, two bending sensors, an Arduino mini and a Bluetooth module. The obtained signals are digitally processed, calculating the standard deviation and establishing thresholds obtained empirically. A group of users was chosen with the aim of executing two modalities: natural walking and dragging the left foot. The gait was parameterized with the following variables: as far as pressure sensors are concerned, one pressure sensor under the first metatarsal (right sensor), another one under the fifth metatarsal (left) and a third one under the heel were placed. With respect to bending sensors, one bending sensor was placed for the ankle movement and another one for the foot sole. The obtained results show a rate accuracy oscillating between 85% (right sensor) and 100% (heel and bending sensors). Therefore, the developed prototype is able to differentiate between healthy gait and pathological gait, and it will be used as the base of a more complex and integral technological solution, which is being developed currently.
authors.affiliation: Computer Science Department, ICAM University, Lille, France. florent.grenez@orange.fr
authors.forename: Florent
authors.initials: F
authors.lastname: Grenez
authors.forename: María
authors.initials: M
authors.lastname: Viqueira Villarejo
authors.forename: Begoña
authors.initials: B
authors.lastname: García Zapirain
authors.forename: Amaia
authors.initials: A
authors.lastname: Méndez Zorrilla
mesh_terms: D056044:Actigraphy / Q000295:instrumentation*; D015374:Biosensing Techniques / Q000295:instrumentation*; D055119:Elastic Modulus; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005528:Foot / Q000502:physiology*; D005684:Gait / Q000502:physiology*; D006801:Humans; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D010865:Pilot Projects; D014160:Transducers, Pressure; D059015:Wireless Technology / Q000295:instrumentation*
references.citation: J Neuroeng Rehabil. 2011 Oct 26;8:59
references.pmid: 22029427
references.citation: Sensors (Basel). 2012 Dec 03;12(12):16628-40
references.pmid: 23208558
references.citation: Sensors (Basel). 2012;12(9):11697-711
references.pmid: 23112678
references.citation: Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:2233-6
references.pmid: 22254784
references.citation: IEEE Trans Inf Technol Biomed. 2010 May;14(3):767-75
references.pmid: 20071266
references.citation: Mult Scler. 1999 Aug;5(4):244-50
references.pmid: 10467383
references.citation: Gait Posture. 2009 Jan;29(1):138-42
references.pmid: 18951800
references.citation: Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:6772-5
references.pmid: 23367484
references.citation: Foot Ankle Int. 1998 Oct;19(10):668-73
references.pmid: 9801080
references.citation: IEEE Trans Inf Technol Biomed. 2008 Jul;12(4):413-23
references.pmid: 18632321
references.citation: Brain. 1999 Jul;122 ( Pt 7):1349-55
references.pmid: 10388800
references.citation: Sensors (Basel). 2012;12(7):9884-912
references.pmid: 23012576
references.citation: J Phys Act Health. 2011 Mar;8(3):390-7
references.pmid: 21487138
references.citation: Arch Phys Med Rehabil. 1986 Aug;67(8):536-9
references.pmid: 3741079
references.citation: IEEE Trans Neural Syst Rehabil Eng. 2001 Jun;9(2):113-25
references.pmid: 11474964
references.citation: J Biomech Eng. 2011 Apr;133(4):041005
references.pmid: 21428679
references.citation: Sensors (Basel). 2012;12(2):2255-83
references.pmid: 22438763
references.citation: Sensors (Basel). 2010;10(8):7772-88
references.pmid: 22163626