Design and prototyping of wearable measuring system for trunk movement using textile sensors

In this paper, a textile-based strain sensor has been developed to create a respiration belt. The constituent materials and the knitted structure of the textile sensor have been specifically selected and tailored for this application. Electromechanical modeling has been developed by exploiting Peirce's loop model in order to describe the fabric geometry under static and dynamic conditions. Kirchhoff's node and loop equations have been employed to create a generalized solution for the equivalent electrical resistance of the textile sensor for a given knitted loop geometry and for a specified number of loops. A laboratory test setup was built to characterize the prototype sensor and the resulting equivalent resistance under strain levels up to 40%, and consistent resistance response levels have been obtained from the sensor which correlate well with the modelled data. Production of the respiration belt was realized by bringing together knitted sensor and a relatively inelastic textile strap. Both machine simulations and real-time measurements on a human subject have been performed in order to calculate average breathing frequencies under different static and dynamic conditions. Also, different scenarios have been performed, such as slow breathing and rapid breathing. The sensory belt was located in either the chest area or in the abdominal area during the experimental measurements and the sensor yielded a good response under both static and dynamic conditions. However, body motion artefacts affected the signal quality under dynamic conditions and an additional signal-processing step was added to eliminate unwanted interference from the breathing signal.Index Terms-Breathing frequency, conductive yarn, knitted sensor, respiration belt, silver-coated nylon yarn, textile-based strain sensor, electro-mechanical modelling.

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“…R in (16) can be obtained in matrix form by the solving electrical equivalent circuit as shown Fig. 7 using KVL and KCL.…”

Section: Equivalent Electrical Model Of the Knitted Sensormentioning

confidence: 99%

Weft-Knitted Strain Sensor for Monitoring Respiratory Rate and Its Electro-Mechanical Modeling

2015

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“…Extensive examples of systems developed following this approach can be found in the literature (e.g. [25,20]). However, these approaches are purely focused on system functionality rather than energy efficiency and therefore they address it at the end of the development process and as a final factor to optimize.…”

Section: Related Workmentioning

confidence: 99%

Energy-Aware Model-Driven Development of a Wearable Healthcare Device

Isasa

Larsen

Hansen

2017

Lecture Notes in Computer Science

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The healthcare domain is experiencing an expansion of wearable embedded devices. These devices are typically battery powered and expected to deliver a safe and reliable service to the patient regardless of its power reserves. Being energy efficient brings an additional level of complexity to the development of these solutions. In this paper we propose the application of a well-founded model-driven energy-aware approach to tackle the energy consumption in such solutions addressing all their critical subsystems: control software, communication and mechanical components. The approach enables exploration of the design space, reduces prototyping costs and helps in build confidence in the proposed solution. We demonstrate this approach in a case study focused on the development of an intelligent compression stocking to treat leg-venous insufficiency. We also discuss how this approach has benefited the development of the actual device.

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“…Commonly user's smartphones with Android OS are used to develop the HIM interface. Also, the data extracted can be submitted for an infrastructure network in a private or public cloud [27,41,37,36,22,18,16,21]. The difference between the first to second approach is shown in Figure 2.…”

Section: Hardware and Os Architecturesmentioning

confidence: 99%

Building Wearables for Geology

Delabrida

D'Angelo

Oliveira

et al. 2016

SIGOPS Oper. Syst. Rev.

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Wearable devices have emerged in the last years with new applications that provide user convenience. Healthcare, sports, safety are some examples of applications embedded in thousands of devices released in the last years. Wearable operating systems with different focus emerged together with wearable applications in order to make adjustments and optimizations of software and hardware. This paper presents a wearable operating systems discussion and shows the current challenges and wearable operating system influence. We developed a wearable appliance for geology. The wearable contains a Head Mounted Display (HMD) assembled with Google Cardboard API and sensors connected to developments boards. For each system component was used different operating systems according to hardware and software available. The results indicate some trends for wearable operating systems.

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Design and prototyping of wearable measuring system for trunk movement using textile sensors

Cited by 9 publications

References 21 publications

Weft-Knitted Strain Sensor for Monitoring Respiratory Rate and Its Electro-Mechanical Modeling

Weft-Knitted Strain Sensor for Monitoring Respiratory Rate and Its Electro-Mechanical Modeling

Energy-Aware Model-Driven Development of a Wearable Healthcare Device

Building Wearables for Geology

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