liu.seSearch for publications in DiVA
Change search
Link to record
Permanent link

Direct link
BETA
Alternative names
Publications (10 of 56) Show all publications
Rattfält, L., Lindén, M., Hult, P., Ask, P. & Borga, M. (2013). Robust Heart Beat Detector Based on Weighted Correlation and Multichannel Input: Implementation on the ECG recorded with textile electrodes. Paper presented at 8th International Conference on Wearable Micro and Nano Technologies for Personalized Health. International Journal of E-Health and Medical Communications, 4(1), 61-71
Open this publication in new window or tab >>Robust Heart Beat Detector Based on Weighted Correlation and Multichannel Input: Implementation on the ECG recorded with textile electrodes
Show others...
2013 (English)In: International Journal of E-Health and Medical Communications, ISSN 1947-315X, Vol. 4, no 1, p. 61-71Article in journal, Meeting abstract (Refereed) Published
Abstract [en]

The aim of this study was to develop and evaluate a robust heartbeat detector for noisy electrocardiograms (ECGs) recorded with textile electrodes. We suggest a method based on weighted correlation in a multi-channel ECG to obtain a heartbeat detector. Signals were acquired during rest and at movements which simulate every day activities. From each recording a segment corresponding to a heartbeat was extracted and correlated with the whole signal. From the correlation data, heartbeat candidates were derived and weighted based on their variance similarity with the heartbeat model and previous heartbeats. Finally, the outputs of each channel were added to create the global output. The output was compared to the Pan Tompkins heartbeat detector. Results are promising for recordings at rest (sensitivity = 0.97, positive predictive value (PPV) = 0.97). For static muscle tension in the torso the results were much higher than the reference method (sensitivity = 0.77, PPV = 0.85). Corresponding values for the reference method were sensitivity = 0.96 and PPV = 0.95 at rest and sensitivity = 0.52 and PPV = 0.75 during muscle tension.

Place, publisher, year, edition, pages
IGI Global, 2013
Keywords
textile electrodes, multichannel ecg, noise suppression, heartbeat detector
National Category
Other Medical Engineering
Identifiers
urn:nbn:se:liu:diva-79772 (URN)10.4018/jehmc.2013010106 (DOI)
Conference
8th International Conference on Wearable Micro and Nano Technologies for Personalized Health
Available from: 2012-08-14 Created: 2012-08-14 Last updated: 2015-03-20
Ask, P., Ekstrand, K., Hult, P., Lindén, M. & Pettersson, N.-E. (2012). NovaMedTech - a regional program for supporting new medical technologies in personalized health care. Studies in Health Technology and Informatics, 177, 71-5
Open this publication in new window or tab >>NovaMedTech - a regional program for supporting new medical technologies in personalized health care
Show others...
2012 (English)In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 177, p. 71-5Article in journal (Refereed) Published
Abstract [en]

NovaMedTech is an initiative funded from EU structural funds for supporting new medical technologies for personalized health care. It aims at bringing these technologies into clinical use and to the health care market. The program has participants from health care, industry and academia in East middle Sweden. The first three year period of the program was successful in terms of product concepts tried clinically, and number of products brought to a commercialization phase. Further, the program has led to a large number of scientific publications. Among projects supported, we can mention: Intelligent sensor networks; A digital pen to collect medical information about health status from patients; A web-based intelligent stethoscope; Methodologies to measure local blood flow and nutrition using optical techniques; Blood flow assessment from ankle pressure measurements; Technologies for pressure ulcer prevention; An IR thermometer for improved accuracy; A technique that identifies individuals prone to commit suicide among depressed patients; Detection of infectious disease using an electronic nose; Identification of the lactate threshold from breath; Obesity measurements using special software and MR camera; and An optical probe guided tumor resection. During the present three years period emphasis will be on entrepreneurial activities supporting the commercialization and bringing products to the market.

National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:liu:diva-87681 (URN)10.3233/978-1-61499-069-7-71 (DOI)22942033 (PubMedID)
Available from: 2013-01-22 Created: 2013-01-21 Last updated: 2017-12-06
Gharebhaghi, A. & Hult, P. (2010). Graphic User Interface for Heart Sound Signal Analysis. In: : . Paper presented at Läkarsällskapets Riksstämma.
Open this publication in new window or tab >>Graphic User Interface for Heart Sound Signal Analysis
2010 (English)Conference paper, Oral presentation only (Other academic)
National Category
Medical Engineering
Identifiers
urn:nbn:se:liu:diva-123375 (URN)
Conference
Läkarsällskapets Riksstämma
Available from: 2015-12-14 Created: 2015-12-14 Last updated: 2015-12-21
Pettersson, N.-E., Ask, P., Ekstrand, K., Hult, p. & Lindén, M. (2010). NovaMedTech – En satsning på att ny medicinsk teknik i Östra Mellansverige. In: : . Paper presented at Medicinteknikdagarna I Umea October 2010 (pp. 75).
Open this publication in new window or tab >>NovaMedTech – En satsning på att ny medicinsk teknik i Östra Mellansverige
Show others...
2010 (Swedish)Conference paper, Oral presentation only (Other academic)
National Category
Medical Engineering
Identifiers
urn:nbn:se:liu:diva-122875 (URN)
Conference
Medicinteknikdagarna I Umea October 2010
Available from: 2015-11-26 Created: 2015-11-26 Last updated: 2015-12-03
Hult, P. (2010). NovaMedTech – Innovationer för morgondagens vård genom samverkan med vård, akademi och industri. In: : . Paper presented at Läkarsällskapets riksstämma, Göteborg, Sverige, 1-3 december 2010.
Open this publication in new window or tab >>NovaMedTech – Innovationer för morgondagens vård genom samverkan med vård, akademi och industri
2010 (Swedish)Conference paper, Oral presentation only (Other (popular science, discussion, etc.))
Abstract [sv]

Med en kraftig ökning av andelen äldre i befolkningen ställs allt större krav på sjukvården. Ny medicinsk teknik utgör en möjlig väg att göra vården effektivare. Utgående från detta är NovaMedTech en innovativ miljö som stöds av EUs Strukturfond och som skall bidra till att stärka ny utveckling av medicinsk teknik inom regionen Östra Mellansverige dvs de fyra länen Sörmland, Västmanland, Örebro och Östergötland. I programmet tas ett samlat grepp genom att vård, akademi och industri samverkar mellan de olika länen. Satsningen stärks av länens kompletterande styrkor.

NovaMedTech satsar genom ekonomiskt stöd från EU-strukturfondsprogram via Tillväxtverket på de två olika produktområden: Medicinsk teknik för distribuerad vård och personlig hälsa och Medicinsk teknik för bildbaserad diagnostik och terapi. Vi stöder ett 30-tal konkreta projekt mot klinisk testning och kommersialisering av produkter och tjänster.

Genom NovaMedTech utvecklas även en innovativ miljö där ett brett nätverk har skapats och där dess aktörer har givits möjlighet att samverka, utbyta erfarenheter, identifiera nya idéer mm. Viktiga framgångsfaktorer för NovaMedTech har varit en god regional förankring, en mångfald av aktörer inom vård, akademi och näringsliv, att satsningen bygger på redan befintliga utvecklingsstrukturer i form av nätverk, innovationsstöd, inkubatorverksamhet, nyföretagarstöd, såddfinansiering, hälsoekonomisk analys och entreprenörskapssatsningar mm, samt att NovaMedTech har en stark koppling till näringslivet.

Produktområdet Medicinsk teknik för distribuerad vård och personlig hälsa handlar om teknik för fysiologisk övervakning av patienter i hemmiljö samt teknik för diagnostik inom närvård/primärvård. I framtiden bör patientinformation och mätdata överföras istället för att patienter transporteras. Lösningar kan innefatta teknik för ”point of care”-diagnostik inom närvård/primärvård. Med medicinsk teknik för personlig hälsa avser vi monitorering av patienter med risk för att utveckla en viss sjukdom eller som har en kronisk sjukdom. Bland delprojekt som vi arbetar med kan nämnas: Tekniska metoder för att patienter kan bo kvar i sin hemmiljö, Informationsteknik för att underlätta patientens vardagsbestyr, Mät- och kommunikationsplattformar för fysiologiska signaler/labprover, Trådlös informationsöverföring, Journalsystem för distribuerad vård samt Monitorering/övervakning av fysiologiska parameter kopplade till kroniska sjudomar

Medicinsk teknik för bildbaserad diagnostik och terapi blir allt viktigare i en högteknologisk sjukvård. Vi arbetar med att vidareutveckla tekniken framför allt genom att på nya sätt processa bildinformationen. Exempel på delprojket som vi driver är: Avbildning av vävnad med hjälp av mikrovågstomografi, Utveckling av ny MR-teknik för hjärtundersökning, Avancerad bildbehandling av datortomografibilder och mikroskopbilder och Medicinska bilder för att simulera och styra behandling.

Projektet har pågått i ca 2 år och bland hittills uppnådda resultat kan nämnas ca 60 identifierade produktidéer, att 20 produktidéer har tagits till klinisk evaluering, att 9 prototyper har kommit till en kommersialiseringsfas och att 3 nya företag hittills har bildats genom NovaMedTechs medverkan.

National Category
Other Medical Engineering
Identifiers
urn:nbn:se:liu:diva-121360 (URN)
Conference
Läkarsällskapets riksstämma, Göteborg, Sverige, 1-3 december 2010
Available from: 2015-09-15 Created: 2015-09-15 Last updated: 2015-10-01
Hult, P., Oscarsson, M., Rattfält, L. & Ask, P. (2009). A platform for patient monitoring in home health care including an interpretation tool for heart failure patients. WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING, VOL 25, PT 5, 25(5), 157-160
Open this publication in new window or tab >>A platform for patient monitoring in home health care including an interpretation tool for heart failure patients
2009 (English)In: WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING, VOL 25, PT 5, ISSN 1680-0737, Vol. 25, no 5, p. 157-160Article in journal (Refereed) Published
Abstract [en]

About 2% of the population suffer from heart failure, which is a disease associated with high mortality. We have developed a measurement platform including an interpretation tool for heart failure patients where physiological signals can be acquired and on which signal analysis techniques can be implemented. The platform can also be used to store patient data, to enable comparison over time and invoke distance consultation if necessary. In this platform, we have implemented a tool for interpretation support of the data measured from the patient. This tool are intended for use in home health care as an aid for monitoring and follow up heart failure patients.

Place, publisher, year, edition, pages
Springer Science Business Media, 2009
Keywords
monitoring, distributed care, heart failure, interpretation tool
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-58649 (URN)10.1007/978-3-642-03904-1_44 (DOI)000280419300044 ()
Available from: 2010-08-22 Created: 2010-08-20 Last updated: 2014-08-28
Rattfält, L., Ahlström, C., Eneling, M., Ragnemalm, B., Hult, P., Lindén, M. & Ask, P. (2009). A platform for physiological signals including an intelligent stethoscope. In: Jos Sloten, Pascal Verdonck, Marc Nyssen, Jens Haueisen (Ed.), 4th European Conference of the International Federation for Medical and Biological Engineering: ECIFMBE 2008 23–27 November 2008 Antwerp, Belgium. Paper presented at 4th European Conference of the International Federation for Medical and Biological Engineering (ECIFMBE), (pp. 1038-1041). Paper presented at 4th European Conference of the International Federation for Medical and Biological Engineering (ECIFMBE),. Springer Berlin/Heidelberg, 22
Open this publication in new window or tab >>A platform for physiological signals including an intelligent stethoscope
Show others...
2009 (English)In: 4th European Conference of the International Federation for Medical and Biological Engineering: ECIFMBE 2008 23–27 November 2008 Antwerp, Belgium / [ed] Jos Sloten, Pascal Verdonck, Marc Nyssen, Jens Haueisen, Springer Berlin/Heidelberg, 2009, Vol. 22, p. 1038-1041Chapter in book (Refereed)
Abstract [en]

We have developed a physiological signal platform where presently phonocardiographic (PCG) and electrocardiographic (ECG) signals can be acquired and on which our signal analysis techniques can be implemented. The platform can also be used to store patient data, to enable comparison over time and invoke distance consultation if necessary. Our studies so far indicate that with our signal analysis techniques of heart sounds we are able to separate normal subject from those with aortic stenosis and mitral insufficiency. Further we are able to identify the third heart sound. The platform is being tested in a primary health care setting.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2009
Series
IFMBE Proceedings, ISSN 1680-0737
Keywords
monitoring; distributed care; intelligent stethoscope
National Category
Medical Biotechnology
Identifiers
urn:nbn:se:liu:diva-116925 (URN)10.1007/978-3-540-89208-3_247 (DOI)978-3-540-89207-6 (ISBN)
Conference
4th European Conference of the International Federation for Medical and Biological Engineering (ECIFMBE),
Note

4th European Conference of the International Federation for Medical and Biological Engineering (ECIFMBE), Antwerp, BELGIUM, NOV 23-27, 2008

Available from: 2015-04-09 Created: 2015-04-09 Last updated: 2016-08-30
Hult, P. (2009). NovaMedTech. In: : . Paper presented at SVENSK FÖRENING FÖR MEDICINSK TEKNIK OCH FYSIK SWEDISH SOCIETY FOR MEDICAL ENGINEERING AND MEDICAL PHYSICS. Medicinteknikdagarna Vasteras 2009, 28-29 september.
Open this publication in new window or tab >>NovaMedTech
2009 (Swedish)Conference paper, Oral presentation only (Other academic)
National Category
Medical Engineering
Identifiers
urn:nbn:se:liu:diva-122817 (URN)
Conference
SVENSK FÖRENING FÖR MEDICINSK TEKNIK OCH FYSIK SWEDISH SOCIETY FOR MEDICAL ENGINEERING AND MEDICAL PHYSICS. Medicinteknikdagarna Vasteras 2009, 28-29 september
Available from: 2015-11-25 Created: 2015-11-25 Last updated: 2015-12-03
Ljungvall, I., Ahlström, C., Hoglund, K., Hult, P., Kvart, C., Borgarelli, M., . . . Haggstrom , J. (2009). Use of signal analysis of heart sounds and murmurs to assess severity of mitral valve regurgitation attributable to myxomatous mitral valve disease in dogs. AMERICAN JOURNAL OF VETERINARY RESEARCH, 70(5), 604-613
Open this publication in new window or tab >>Use of signal analysis of heart sounds and murmurs to assess severity of mitral valve regurgitation attributable to myxomatous mitral valve disease in dogs
Show others...
2009 (English)In: AMERICAN JOURNAL OF VETERINARY RESEARCH, ISSN 0002-9645 , Vol. 70, no 5, p. 604-613Article in journal (Refereed) Published
Abstract [en]

Objective-To investigate use of signal analysis of heart sounds and murmurs in assessing severity of mitral valve regurgitation (mitral regurgitation [MR]) in dogs with myxomatous mitral valve disease (MMVD).

Animals-77 client-owned dogs.

Procedures-Cardiac sounds were recorded from dogs evaluated by use of auscultatory and echocardiographic classification systems. Signal analysis techniques were developed to extract 7 sound variables (first frequency peak, murmur energy ratio, murmur duration > 200 Hz, sample entropy and first minimum of the auto mutual information function of the murmurs, and energy ratios of the first heart sound [S1] and second heart sound [S2]).

Results-Significant associations were detected between severity of MR and all sound variables, except the energy ratio of S1. An increase in severity of MR resulted in greater contribution of higher frequencies, increased signal irregularity, and decreased energy ratio of S2. The optimal combination of variables for distinguishing dogs with high-intensity murmurs from other dogs was energy ratio of S2 and murmur duration > 200 Hz (sensitivity, 79%; specificity, 71%) by use of the auscultatory classification. By use of the echocardiographic classification, corresponding variables were auto mutual information, first frequency peak, and energy ratio of S2 (sensitivity, 88%; specificity, 82%).

Conclusions and Clinical Relevance-Most of the investigated sound variables were significantly associated with severity of MR, which indicated a powerful diagnostic potential for monitoring MMVD. Signal analysis techniques could be valuable for clinicians when performing risk assessment or determining whether special care and more extensive examinations are required.

National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-18291 (URN)10.2460/ajvr.70.5.604 (DOI)
Available from: 2009-05-17 Created: 2009-05-15 Last updated: 2009-06-08
Rattfält, L. & Hult, P. (2008). A platform for physiological signals including an intelligent stethoscope.. In: : . Paper presented at Medicinteknikdagarna, Göteborg, Sverige, 14-15 oktober 2008.
Open this publication in new window or tab >>A platform for physiological signals including an intelligent stethoscope.
2008 (Swedish)Conference paper, Oral presentation only (Other academic)
National Category
Medical Engineering
Identifiers
urn:nbn:se:liu:diva-122764 (URN)
Conference
Medicinteknikdagarna, Göteborg, Sverige, 14-15 oktober 2008
Available from: 2015-11-21 Created: 2015-11-21 Last updated: 2015-11-30Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-5997-3294

Search in DiVA

Show all publications