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Wearable Solutions for P-Health at Work: Precise, Pervasive and Preventive
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH).ORCID iD: 0000-0002-3256-9029
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

With a demographic change towards an older population, the structure of the labor force is shifting, and people are expected to work longer within their extended life span. However, for many people, wellbeing has been compromised by work-related problems before they reach the retirement age. Prevention of chronic diseases such as cardiovascular diseases and musculoskeletal disorders is needed to provide a sustainable working life. Therefore, pervasive tools for risk assessment and intervention are needed. The vision is to use wearable technologies to promote a sustainable work life, to be more detailed, to develop a system that integrates wearable technologies into workwear to provide pervasive and precise occupational disease prevention. This thesis presents some efforts towards this vision, including system-level design for a wearable risk assessment and intervention system, as well as specific insight into solutions for in-field assessment of physical workload and technologies to make smart sensing garments. The overall system is capable of providing unobtrusive monitoring of several signs, automatically estimating risk levels and giving feedback and reports to different stakeholders. The performance and usability of current energy expenditure estimation methods based on heart rate monitors and accelerometers were examined in occupational scenarios. The usefulness of impedance pneumography-based respiration monitoring for energy expenditure estimation was explored. A method that integrates heart rate, respiration and motion information using a neuronal network for enhancing the estimation is shown. The sensing garment is an essential component of the wearable system. Smart textile solutions that improve the performance, usability and manufacturability of sensing garments, including solutions for wiring and textile-electronics interconnection as well as an overall garment design that utilizes different technologies, are demonstrated.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2018. , p. 42
Series
TRITA-CBH-FOU ; 2018-59
Keywords [en]
wearable technology, occupational health, energy expenditure, smart textile
National Category
Medical Engineering
Research subject
Applied Medical Technology
Identifiers
URN: urn:nbn:se:kth:diva-239156ISBN: 978-91-7873-042-1 (print)OAI: oai:DiVA.org:kth-239156DiVA, id: diva2:1263831
Public defence
2018-12-10, Sal T2, Hälsovägen 11, Flemingsberg, 10:00 (English)
Opponent
Supervisors
Note

QC 20181119

Available from: 2018-11-19 Created: 2018-11-16 Last updated: 2018-11-19Bibliographically approved
List of papers
1. Towards Smart Work Clothing for Automatic Risk Assessment of Physical Workload
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2018 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 6, p. 40059-40072Article in journal (Refereed) Published
Abstract [en]

Work-related musculoskeletal and cardiovascular disorders are still prevalent in today's working population. Nowadays, risk assessments are usually performed via self-reports or observations, which have relatively low reliability. Technology developments in textile electrodes (textrodes), inertial measurement units, and the communication and processing capabilities of smart phones/tablets provide wearable solutions that enable continuous measurements of physiological and musculoskeletal loads at work with sufficient reliability and resource efficiency. In this paper, a wearable system integrating textrodes, motion sensors, and real-time data processing through a mobile application was developed as a demonstrator of risk assessment related to different types and levels of workload and activities. The system was demonstrated in eight subjects from four occupations with various workload intensities, during which the heart rate and leg motion data were collected and analyzed with real-time risk assessment and feedback. The system showed good functionality and usability as a risk assessment tool. The results contribute to designing and developing future wearable systems and bring new solutions for the prevention of work-related disorders.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
Keywords
Energy expenditure, sitting, standing, occupational health, preventive healthcare, wearable sensors, sensorized garments
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
urn:nbn:se:kth:diva-233434 (URN)10.1109/ACCESS.2018.2855719 (DOI)000441214800001 ()2-s2.0-85050003765 (Scopus ID)
Note

QC 20180821

Available from: 2018-08-21 Created: 2018-08-21 Last updated: 2018-11-20Bibliographically approved
2. Development of smart wearable systems for physiological workload assessment using heart rate and accelerometry
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(English)Manuscript (preprint) (Other academic)
National Category
Medical Engineering
Identifiers
urn:nbn:se:kth:diva-239148 (URN)
Note

QC 20181120

Available from: 2018-11-16 Created: 2018-11-16 Last updated: 2018-11-20Bibliographically approved
3. Wearable cardiorespiratory monitoring system for unobtrusive free-living energy expenditure tracking
Open this publication in new window or tab >>Wearable cardiorespiratory monitoring system for unobtrusive free-living energy expenditure tracking
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2019 (English)In: IFMBE Proceedings, Springer, 2019, no 1, p. 433-437Conference paper, Published paper (Refereed)
Abstract [en]

In this work, we want to introduce combined heart rate and respiration monitoring for more accurate energy expenditure tracking on free-living subjects. We have developed a wearable cardiorespiratory monitoring system with unobtrusive heart rate measurement and ventilation estimation function for this purpose. The system is based on a garment with integrated textile electrodes for one-lead electrocardiogram and impedance pneumography measurements. A pilot experiment has been performed to prove the concept and to evaluate the characteristics of heart rate and ventilation estimated by our system in relation to energy expenditure. In the experiment, ventilation shows a better linearity in relation to the energy expenditure at the low intensity region than heart rate. Based on these characteristics, a model combining heart rate and ventilation for energy expenditure estimation is proposed which shows a significantly lower estimation error than the heart rate only model.

Place, publisher, year, edition, pages
Springer, 2019
Keywords
Energy expenditure, Impedance pneumography, Wearable devices, Biomedical engineering, Patient monitoring, Wearable technology, Energy expenditure estimation, Estimation function, Heart rate measurements, Respiration monitoring, Textile electrodes, Heart
National Category
Medical Engineering
Identifiers
urn:nbn:se:kth:diva-236338 (URN)10.1007/978-981-10-9035-6_80 (DOI)000450908300080 ()2-s2.0-85048260818 (Scopus ID)
Conference
World Congress on Medical Physics and Biomedical Engineering, WC 2018, 3 June 2018 through 8 June 2018
Funder
VINNOVA
Note

QC 20181109

Available from: 2018-11-09 Created: 2018-11-09 Last updated: 2018-12-11Bibliographically approved
4. Fusion of heart rate, respiration and motion measurements from a wearable sensor system to enhance energy expenditure estimation
Open this publication in new window or tab >>Fusion of heart rate, respiration and motion measurements from a wearable sensor system to enhance energy expenditure estimation
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2018 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 18, no 9, article id 3092Article in journal (Refereed) Published
Abstract [en]

This paper presents a new method that integrates heart rate, respiration, and motion information obtained from a wearable sensor system to estimate energy expenditure. The system measures electrocardiography, impedance pneumography, and acceleration from upper and lower limbs. A multilayer perceptron neural network model was developed, evaluated, and compared to two existing methods, with data from 11 subjects (mean age, 27 years, range, 21–65 years) who performed a 3-h protocol including submaximal tests, simulated work tasks, and periods of rest. Oxygen uptake was measured with an indirect calorimeter as a reference, with a time resolution of 15 s. When compared to the reference, the new model showed a lower mean absolute error (MAE = 1.65 mL/kg/min, R2 = 0.92) than the two existing methods, i.e., the flex-HR method (MAE = 2.83 mL/kg/min, R2 = 0.75), which uses only heart rate, and arm-leg HR+M method (MAE = 2.12 mL/kg/min, R2 = 0.86), which uses heart rate and motion information. As indicated, this new model may, in combination with a wearable system, be useful in occupational and general health applications. 

Place, publisher, year, edition, pages
MDPI AG, 2018
Keywords
Accelerometer, Energy expenditure, Impedance pneumography, Neural network, Wearable device, Accelerometers, Heart, Neural networks, Energy expenditure estimation, Mean absolute error, Motion measurements, Multi-layer perceptron neural networks, Wearable devices, Wearable sensor systems, Wearable sensors
National Category
Health Sciences
Identifiers
urn:nbn:se:kth:diva-236691 (URN)10.3390/s18093092 (DOI)000446940600351 ()30223429 (PubMedID)2-s2.0-85053711948 (Scopus ID)
Note

Export Date: 22 October 2018; Article; Correspondence Address: Ke, L.; School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Hälsovägen 11C, Sweden; email: kelu@kth.se; Funding details: 18454; Funding details: Dnr 150039; Funding text: Funding: This work was supported by AFA Insurance under Grant Dnr 150039, EIT Health under project no. 18454 “Wellbeing, Health and Safety @ Work”, and CSC Scholarship Council. QC 20181112

Available from: 2018-11-12 Created: 2018-11-12 Last updated: 2018-11-20Bibliographically approved
5. A knitted garment using intarsia technique for Heart Rate Variability biofeedback: Evaluation of initial prototype
Open this publication in new window or tab >>A knitted garment using intarsia technique for Heart Rate Variability biofeedback: Evaluation of initial prototype
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2015 (English)In: Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, IEEE , 2015, Vol. 2015, p. 3121-3124Conference paper, Published paper (Refereed)
Abstract [en]

Heart rate variability (HRV) biofeedback is a method based on paced breathing at specific rate called resonance frequency by giving online feedbacks from user respiration and its effect on HRV. Since the HRV is also influence by different factors like stress and emotions, stress related to an unfamiliar measurement device, cables and skin electrodes may cover the underling effect of such kind of intervention. Wearable systems are usually considered as intuitive solutions which are more familiar to the end-user and can help to improve usability and hence reducing the stress. In this work, a prototype of a knitted garment using intarsia technique is developed and evaluated. Results show the satisfactory level of quality for Electrocardiogram and thoracic electrical bioimpedance i.e. for respiration monitoring as a part of HRV biofeedback system. Using intarsia technique and conductive yarn for making the connection instead of cables will reduce the complexity of fabrication in textile production and hence reduce the final costs in a final commercial product. Further development of garment and Android application is ongoing and usability and efficiency of final prototype will be evaluated in detail.

Place, publisher, year, edition, pages
IEEE, 2015
Series
IEEE Engineering in Medicine and Biology Society Conference Proceedings, ISSN 1557-170X
National Category
Medical Engineering
Research subject
Medical Technology
Identifiers
urn:nbn:se:kth:diva-179906 (URN)10.1109/EMBC.2015.7319053 (DOI)000371717203100 ()2-s2.0-84953238768 (Scopus ID)978-1-4244-9270-1 (ISBN)
Conference
37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, MiCo Center, Milano Congressi CenterMilan, Italy, 25 August 2015 through 29 August 2015
Note

QC 20181120

Available from: 2016-01-04 Created: 2016-01-04 Last updated: 2018-11-20Bibliographically approved
6. Textile-Friendly Interconnection between WearableMeasurement Instrumentation and SensorizedGarments – Initial Performance Evaluation forElectrocardiogram Recordings
Open this publication in new window or tab >>Textile-Friendly Interconnection between WearableMeasurement Instrumentation and SensorizedGarments – Initial Performance Evaluation forElectrocardiogram Recordings
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(English)Manuscript (preprint) (Other academic)
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-239150 (URN)
Note

QC 20181120

Available from: 2018-11-16 Created: 2018-11-16 Last updated: 2018-11-20Bibliographically approved

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Citation style
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  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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Output format
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