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A knitted garment using intarsia technique for Heart Rate Variability biofeedback: Evaluation of initial prototype
KTH, Skolan för teknik och hälsa (STH), Medicinsk teknik, Medicinska sensorer, signaler och system.ORCID-id: 0000-0001-7807-8682
KTH, Skolan för teknik och hälsa (STH), Medicinsk teknik, Medicinska sensorer, signaler och system.
KTH, Skolan för teknik och hälsa (STH), Medicinsk teknik, Medicinska sensorer, signaler och system.ORCID-id: 0000-0002-3256-9029
Vise andre og tillknytning
2015 (engelsk)Inngår i: Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, IEEE , 2015, Vol. 2015, s. 3121-3124Konferansepaper, Publicerat paper (Fagfellevurdert)
Resurstyp
Text
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.

sted, utgiver, år, opplag, sider
IEEE , 2015. Vol. 2015, s. 3121-3124
Serie
IEEE Engineering in Medicine and Biology Society Conference Proceedings, ISSN 1557-170X
HSV kategori
Forskningsprogram
Medicinsk teknologi
Identifikatorer
URN: urn:nbn:se:kth:diva-179906DOI: 10.1109/EMBC.2015.7319053ISI: 000371717203100Scopus ID: 2-s2.0-84953238768ISBN: 978-1-4244-9270-1 (tryckt)OAI: oai:DiVA.org:kth-179906DiVA, id: diva2:890814
Konferanse
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
Merknad

QC 20181120

Tilgjengelig fra: 2016-01-04 Laget: 2016-01-04 Sist oppdatert: 2018-11-20bibliografisk kontrollert
Inngår i avhandling
1. Towards Heart Rate Variability Tools in P-Health: Pervasive, Preventive, Predictive and Personalized
Åpne denne publikasjonen i ny fane eller vindu >>Towards Heart Rate Variability Tools in P-Health: Pervasive, Preventive, Predictive and Personalized
2016 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Heart rate variability (HRV) has received much attention lately. It has been shown that HRV can be used to monitor the autonomic nervous system and to detect autonomic dysfunction, especially vagal dysfunction. Reduced HRV is associated with several diseases and has also been suggested as a predictor of poor outcomes and sudden cardiac death. HRV is, however, not yet widely accepted as a clinical tool and is mostly used for research. Advances in neuroimmunity with an improved understanding of the link between the nervous and immune systems have opened a new potential arena for HRV applications. An example is when systemic inflammation and autoimmune disease are primarily caused by low vagal activity; it can be detected and prognosticated by reduced HRV. This thesis is the result of several technical development steps and exploratory research where HRV is applied as a prognostic diagnostic tool with preventive potential. The main objectives were 1) to develop an affordable tool for the effective analysis of HRV, 2) to study the correlation between HRV and pro-inflammatory markers and the potential degree of activity in the cholinergic anti-inflammatory pathway, and 3) to develop a biofeedback application intended for support of personal capability to increase the vagal activity as reflected in increased HRV. Written as a compilation thesis, the methodology and the results of each study are presented in each appended paper. In the thesis frame/summary chapter, a summary of each of the included papers is presented, grouped by topic and with their connections. The summary of the results shows that the developed tools may accurately register and properly analyse and potentially influence HRV through the designed biofeedback game. HRV can be used as a prognostic tool, not just in traditional healthcare with a focus on illness but also in wellness. By using these tools for the early detection of decreased HRV, prompt intervention may be possible, enabling the prevention of disease. Gamification and serious gaming is a potential platform to motivate people to follow a routine of exercise that might, through biofeedback, improve HRV and thereby health.

Abstract [sv]

Hjärtfrekvensvariabilitet (HRV) har senaste tiden rönt en hel del uppmärksamhet och flera teknikerför analys av HRV i tids- resp. frekvensområdet samt medels icke-linjära metoder har utvecklats.Det har visats att HRV kan användas för att övervaka det autonoma nervsystemet (ANS) blandannat för att upptäcka särskilt vagala störningar inom ANS. Minskad HRV förknippas med flerasjukdomar såsom diabetes, reumatoid artrit, depression, kronisk hjärtsjukdom och har ävenföreslagits som prediktor för dålig prognos och plötslig hjärtdöd. HRV är dock ännu inte allmäntaccepterat som ett kliniskt verktyg utan används främst inom forskning. Framsteg inomneuroimmunitetsområdet med ökad förståelse för sambandet mellan nerv- och immunsystem, haröppnat en nytt potentiell område för HRV-applikationer. Ett exempel är när systemiskinflammationoch autoimmun sjukdom primärt orsakas av låg vagal aktivitet, vilket kan upptäckas ochprognostiseras via minskad HRV. Denna avhandling är resultatet av flera tekniska utvecklingsstegoch explorativ forskning där HRV tillämpas i syfte att utveckla ett prognostiskt diagnostiskt verktygmed förebyggande potential. Huvudsyften har varit: 1) att utveckla ett prisvärt verktyg för eneffektiv och enkel analys av HRV 2) att studera sambandet mellan HRV och pro-inflammatoriskamarkörer och därigenom potentiellt återspegla graden av aktivitet i den kolinergaantiinflammatoriska effektorvägen 3) att utveckla datorprogramvara för ett biologisktåterkopplingssystem där individen med egen träning ökar sin vagala aktivitet vilket sedanåterspeglas i en ökad HRV. I denna sammanläggningsavhandling finns utförlig beskrivning av varjeingående studies metod och resultat artikar I-VI. I ramberättelsen presenteras en kortsammanfattning av metoder och resultat, grupperade efter ämne och sammanhang.Sammanfattningsvis visar resultaten att de utvecklade verktygen adekvat registrerar och analyserarHRV korrekt enkelt , samt att HRV kan påverkas av spel-träning. HRV i framtaget koncept harpotential att användas som ett skarpt prognostiskt verktyg, inte bara för traditionell vård med fokuspå sjukdom, utan också inom friskvård. Framtagna verktyg möjliggör tidig upptäckt av minskadHRV, snabb intervention och prevention. Spelifiering med seriöst spelande utgör en potentiellplattform som motiverar en träningsrutin och som genom återkoppling kan öka HRV och därmedvälmåendet.

sted, utgiver, år, opplag, sider
Stockholm: KTH Royal Institute of Technology, 2016. s. 50
Serie
TRITA-STH : report, ISSN 1653-3836 ; 2016:5
Emneord
Heart Rate Variability, Cholinergic Anti-inflammatory Pathway, Autonomic Nervous System, Vagal activity, Biofeedback, Gamification, Serious Gaming, Inflammatory Markers, Raspberry PI
HSV kategori
Forskningsprogram
Medicinsk teknologi
Identifikatorer
urn:nbn:se:kth:diva-190182 (URN)978-91-7729-069-8 (ISBN)
Eksternt samarbeid:
Disputas
2016-09-26, T2, Blickagången 20, Stockholm, 10:00 (engelsk)
Opponent
Veileder
Forskningsfinansiär
VINNOVA
Merknad

QC 20160902

Tilgjengelig fra: 2016-09-02 Laget: 2016-08-11 Sist oppdatert: 2016-09-04bibliografisk kontrollert
2. Wearable Solutions for P-Health at Work: Precise, Pervasive and Preventive
Åpne denne publikasjonen i ny fane eller vindu >>Wearable Solutions for P-Health at Work: Precise, Pervasive and Preventive
2018 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
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.

sted, utgiver, år, opplag, sider
KTH Royal Institute of Technology, 2018. s. 42
Serie
TRITA-CBH-FOU ; 2018-59
Emneord
wearable technology, occupational health, energy expenditure, smart textile
HSV kategori
Forskningsprogram
Tillämpad medicinsk teknik
Identifikatorer
urn:nbn:se:kth:diva-239156 (URN)978-91-7873-042-1 (ISBN)
Disputas
2018-12-10, Sal T2, Hälsovägen 11, Flemingsberg, 10:00 (engelsk)
Opponent
Veileder
Merknad

QC 20181119

Tilgjengelig fra: 2018-11-19 Laget: 2018-11-16 Sist oppdatert: 2018-11-19bibliografisk kontrollert

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