Load distribution to minimise pressure-related pain on foot: a model

Rodrigo, Asanka S.; Goonetilleke, Ravindra S.; Xiong, Shuping

doi:10.1080/00140139.2013.797111

Cited by 18 publications

(23 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Besarnya deformasi maksimum rata-rata adalah 7.41 ± 2.74 mm dan koefisien korelasi ke duanya adalah 0.81. Hasil korelasi ini menunjukkan semakin tinggi berat badan, semakin besar deformasi di telapak kaki [18].…”

Section: Hasil Penelitian Dan Diskusiunclassified

Estimasi Deformasi Tumit Telapak Kaki Manusia Saat Berdiri Tegak Menggunakan Scanner 3D

Wibowo

2017

Rot.

View full text Add to dashboard Cite

AbstrakDeformasi tumit telapak kaki manusia saat berdiri maupun berjalan sering dikaitkan dengan nyeri di telapak kaki. Besarnya deformasi juga telah diketahui bergantung kepada tingkat ketuaan (aging level), semakin tua manusia semakin kecil deformasinya. Untuk mengukur deformasi tumit tidak mudah dilakukan. Beberapa peneliti sebelumnya menggunakan test rig dan foto rontgen untuk mengetahui heel pad compressibility index (HPCI), apabila nilai HPCI mendekati 1 tumit manusia tergolong sangat kaku. Penelitian ini bertujuan mengestimasi deformasi tumit telapak kaki manusia saat berdiri tegak menggunakan scanner 3D untuk memindai (scanning) telapak kaki tak berbeban dan digital foot scanner untuk memindai telapak kaki berbeban. Dengan Boolean Operation dapat diketahui besarnya deformasi di area tumit tersebut. Dua puluh mahasiswa Departemen Teknik Mesin (DTM) UNDIP dengan usia dan berat badan rata-rata 19.5 tahun dan 55.27 kg diminta melakukan 2 scanning tersebut. Hasilnya deformasi rata-rata telapak kaki sebesar 7.41 ± 2.74 mm dan deformasi maksimum di area tumit rata-rata adalah 13.17 ± 4.04 mm. Terdapat korelasi yang signifikan antara berat badan (x, kg) dengan deformasi maksimum di area tumit (y, mm) subyek penelitian yang dinyatakan oleh persamaan regresi linier y = 0.276x -2.102 dengan koefisien korelasi r = 0.85.Kata kunci: deformasi, tumit, scanner, boolean operation PendahuluanTelapak kaki merupakan salah satu bagian paling penting dari anggota tubuh yang berinteraksi dengan landasan, baik saat berdiri maupun berjalan. Telapak kaki dan ankle manusia merupakan struktur mekanik yang kuat dan komplek yang terdiri dari 26 tulang, 33 joint (20 diantaranya merupakan joint aktif yang sering digunakan), dan lebih dari seratus otot, tendon, dan ligament. Struktur yang komplek ini menjadikan tubuh seimbang saat berdiri dan berfungsi seperti batang berayun saat berjalan/berlari [1].Secara umum telapak kaki manusia dibagi menjadi 3 bagian yaitu telapak kaki depan (fore foot), telapak kaki tengah (mid foot), dan telapak kaki belakang (rear foot) atau secara spesifik adalah area metatarsal (termasuk jari-jari kaki), arch, dan heel/calcaneal (tumit) seperti diperlihatkan pada Gambar 1a [2]. Area tumit adalah bagian telapak kaki yang menerima beban paling besar. Saat berdiri area tumit menanggung beban ± 60% berat tubuh (BW : body weight), seperti diperlihatkan pada Gambar 1b [3]. Sedangkan saat berjalan terdapat beban-beban puncak di achilles tendon 3.9 BW, plantar fascia dan plantar ligaments 1.8 BW, serta gaya kontak total yang melintang di sendi-sendi talocalcaneal dan calcaneocuboid masing-masing sebesar 5.4 BW dan 4.2 BW yang seluruhnya memberi kontribusi beban di area tumit [4]. Beban yang besar di area tumit ini sering menimbulkan masalah nyeri di telapak kaki (plantar fasciitis) yang diantaranya disebabkan oleh calcanea/heel spur [5]. Penyakit ini pada keadaan kronik bisa menimbulkan nyeri hebat di tumit sehingga pasien tidak bisa berjalan [6]. Orang gemuk, sering berdiri atau berjalan jauh, dan penderita penyakit...

show abstract

Section: Hasil Penelitian Dan Diskusiunclassified

Estimasi Deformasi Tumit Telapak Kaki Manusia Saat Berdiri Tegak Menggunakan Scanner 3D

Wibowo

2017

Rot.

View full text Add to dashboard Cite

show abstract

“…However, these offer very little control in terms of the speed and orientation of application. Hence, the Automatic Tissue Tester (ATT) (Rodrigo et al, 2013;Xiong et al, 2010) was used at an indentation speed of 1 mm/s with a 0.5 cm 2 cylindrical, rounded-edge probe. The grid spacing on the template was about 1 cm and the 0.5 cm 2 (or 7.9 mm diameter) probe avoided any interaction between testing points due to their distance from each other.…”

Section: Equipmentmentioning

confidence: 99%

“…The grid spacing on the template was about 1 cm and the 0.5 cm 2 (or 7.9 mm diameter) probe avoided any interaction between testing points due to their distance from each other. A speed of 1 mm/s was used so that the results could be compared to other studies such as Xiong et al, (2010) and Rodrigo et al, (2013). The participants were requested to indicate the PDT and PPT by pressing the appropriate button on the hand-held control panel.…”

Section: Equipmentmentioning

confidence: 99%

“…The secondary stiffness (highest gradient in the Force versus Deflection curve) corresponding to the stiffness of the hard tissue (Rodrigo et al, 2013) was calculated by maximizing the Rsquared value of the linear fit at the higher force values (Fig. 5).…”

Section: Stiffnessmentioning

confidence: 99%

“…Researchers have evaluated various objective and subjective properties on the plantar surface of the foot (Aerts and De Clercq, 1993;Cavanagh et al, 1984;Challis et al, 2008;Gonzalez et al, 1999;Hurn et al, 2014;Kinoshita et al, 1992;Rodrigo et al, 2013;Xiong et al, 2010). Unfortunately, there is no way to compare the results of these studies except at the common anatomical landmarks that the researchers have used.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Pressure thresholds and stiffness on the plantar surface of the human foot

2016

Self Cite

View full text Add to dashboard Cite

The objective was to develop a methodology to assess Pressure Discomfort Thresholds (PDT), Pressure Pain Thresholds (PPT), and tissue stiffness on the plantar surface of the foot. Ten male and ten female participants volunteered for the study. Foot landmarks were used to create a standardized grid-type template of 95 points. For each test point, PPT and PDT values were obtained, and stiffness was calculated for each of the twenty participants. Cluster analyses were performed to determine the regions of similarity for the three dependent variables, PPT, PDT and stiffness. Moran's-I-index was used to determine the spatial auto correlations. The use of k-means clustering showed five distinct clusters while the three dependent variables showed strong correlations to each other. Morisita's similarity index was used to check the similarity of the grid among all participants. Both male and female participants showed a Morisita's index greater than 0.7 confirming the reliability of the foot template.Practitioner Summary: Pressure Discomfort thresholds (PPT), Pressure pain thresholds (PPT) and tissue stiffness were evaluated at 95 points on the plantar surface of the foot. The PPT and related PDT map are useful to design the footbeds of shoes. Based on the data collected, five distinct clusters of locations were identified.

show abstract