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A novel technique for analysis of postural information with wearable devices

Tutkimustuotosvertaisarvioitu

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A novel technique for analysis of postural information with wearable devices. / Jeyhani, Vala; Mahdiani, Shadi; Viik, Jari; Oksala, Niku; Vehkaoja, Antti.

2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018. IEEE, 2018. s. 30-33.

Tutkimustuotosvertaisarvioitu

Harvard

Jeyhani, V, Mahdiani, S, Viik, J, Oksala, N & Vehkaoja, A 2018, A novel technique for analysis of postural information with wearable devices. julkaisussa 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018. IEEE, Sivut 30-33, 1/01/00. https://doi.org/10.1109/BSN.2018.8329651

APA

Jeyhani, V., Mahdiani, S., Viik, J., Oksala, N., & Vehkaoja, A. (2018). A novel technique for analysis of postural information with wearable devices. teoksessa 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018 (Sivut 30-33). IEEE. https://doi.org/10.1109/BSN.2018.8329651

Vancouver

Jeyhani V, Mahdiani S, Viik J, Oksala N, Vehkaoja A. A novel technique for analysis of postural information with wearable devices. julkaisussa 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018. IEEE. 2018. s. 30-33 https://doi.org/10.1109/BSN.2018.8329651

Author

Jeyhani, Vala ; Mahdiani, Shadi ; Viik, Jari ; Oksala, Niku ; Vehkaoja, Antti. / A novel technique for analysis of postural information with wearable devices. 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018. IEEE, 2018. Sivut 30-33

Bibtex - Lataa

@inproceedings{70379ddf79714770be6496ff5066cbc8,
title = "A novel technique for analysis of postural information with wearable devices",
abstract = "These days, as many jobs involve sitting behind desks and working with computers for extended periods, more and more people are suffering from back problems. Maintenance of an appropriate posture may prevent future back problems. There are various medical methods for studying postures abnormalities of the back but most of these methods are limited to be utilized in diagnostics and follow-up of treatment and not used in a continuous or in a preventive manner. Therefore, designing and developing methods for measuring, analyzing and reporting of posture information, aimed for prevention of future back problems is of fundamental interest. In this work, a proof-of-concept system, including five accelerometer sensor units is presented. Additionally, an index, which we call spine inclination index (SII), is introduced and used for converting the raw data to meaningful presentable information. Initial evaluation includes measurements with six subjects. Subjects were asked to mimic accentuated kyphotic, straight and accentuated lordotic postures while sitting. Our results show that the designed device and SII index are able to distinguish between different postures very well. In addition, since this device measures the inclination angle of different spinal postures, its output can be directly compared with other widely used methods.",
author = "Vala Jeyhani and Shadi Mahdiani and Jari Viik and Niku Oksala and Antti Vehkaoja",
year = "2018",
month = "4",
day = "2",
doi = "10.1109/BSN.2018.8329651",
language = "English",
pages = "30--33",
booktitle = "2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - A novel technique for analysis of postural information with wearable devices

AU - Jeyhani, Vala

AU - Mahdiani, Shadi

AU - Viik, Jari

AU - Oksala, Niku

AU - Vehkaoja, Antti

PY - 2018/4/2

Y1 - 2018/4/2

N2 - These days, as many jobs involve sitting behind desks and working with computers for extended periods, more and more people are suffering from back problems. Maintenance of an appropriate posture may prevent future back problems. There are various medical methods for studying postures abnormalities of the back but most of these methods are limited to be utilized in diagnostics and follow-up of treatment and not used in a continuous or in a preventive manner. Therefore, designing and developing methods for measuring, analyzing and reporting of posture information, aimed for prevention of future back problems is of fundamental interest. In this work, a proof-of-concept system, including five accelerometer sensor units is presented. Additionally, an index, which we call spine inclination index (SII), is introduced and used for converting the raw data to meaningful presentable information. Initial evaluation includes measurements with six subjects. Subjects were asked to mimic accentuated kyphotic, straight and accentuated lordotic postures while sitting. Our results show that the designed device and SII index are able to distinguish between different postures very well. In addition, since this device measures the inclination angle of different spinal postures, its output can be directly compared with other widely used methods.

AB - These days, as many jobs involve sitting behind desks and working with computers for extended periods, more and more people are suffering from back problems. Maintenance of an appropriate posture may prevent future back problems. There are various medical methods for studying postures abnormalities of the back but most of these methods are limited to be utilized in diagnostics and follow-up of treatment and not used in a continuous or in a preventive manner. Therefore, designing and developing methods for measuring, analyzing and reporting of posture information, aimed for prevention of future back problems is of fundamental interest. In this work, a proof-of-concept system, including five accelerometer sensor units is presented. Additionally, an index, which we call spine inclination index (SII), is introduced and used for converting the raw data to meaningful presentable information. Initial evaluation includes measurements with six subjects. Subjects were asked to mimic accentuated kyphotic, straight and accentuated lordotic postures while sitting. Our results show that the designed device and SII index are able to distinguish between different postures very well. In addition, since this device measures the inclination angle of different spinal postures, its output can be directly compared with other widely used methods.

U2 - 10.1109/BSN.2018.8329651

DO - 10.1109/BSN.2018.8329651

M3 - Conference contribution

SP - 30

EP - 33

BT - 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018

PB - IEEE

ER -