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Lindahl, Olof A
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Publications (10 of 60) Show all publications
Hu, X.-L., Liv, P., Lundström, E., Norström, F., Lindahl, O. A., Borg, K. & Sunnerhagen, K. S. (2023). Study protocol for a randomized, controlled, multicentre, pragmatic trial with Rehabkompassen®: a digital structured follow-up tool for facilitating patient-tailored rehabilitation in persons after stroke. Trials, 24(1), Article ID 650.
Open this publication in new window or tab >>Study protocol for a randomized, controlled, multicentre, pragmatic trial with Rehabkompassen®: a digital structured follow-up tool for facilitating patient-tailored rehabilitation in persons after stroke
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2023 (English)In: Trials, E-ISSN 1745-6215, Vol. 24, no 1, article id 650Article in journal (Refereed) Published
Abstract [en]

Background: Stroke is a leading cause of disability among adults worldwide. A timely structured follow-up tool to identify patients’ rehabilitation needs and develop patient-tailored rehabilitation regimens to decrease disability is largely lacking in current stroke care. The overall purpose of this study is to evaluate the effectiveness of a novel digital follow-up tool, Rehabkompassen®, among persons discharged from acute care settings after a stroke.

Methods: This multicentre, parallel, open-label, two-arm pragmatic randomized controlled trial with an allocation ratio of 1:1 will be conducted in Sweden. A total of 1106 adult stroke patients will have follow-up visits in usual care settings at 3 and 12 months after stroke onset. At the 3-month follow-up, participants will have a usual outpatient visit without (control group, n = 553) or with (intervention group, n = 553) the Rehabkompassen® tool. All participants will receive the intervention at the 12-month follow-up visit. Feedback from the end-users (patient and health care practitioners) will be collected after the visits. The primary outcomes will be the patients’ independence and social participation at the 12-month visits. Secondary outcomes will include end-users’ satisfaction, barriers and facilitators for adopting the instrument, other stroke impacts, health-related quality of life and the cost-effectiveness of the instrument, calculated by incremental cost per quality-adjusted life year (QALY).

Discussion: The outcomes of this trial will inform clinical practice and health care policy on the role of the Rehabkompassen® digital follow-up tool in the post-acute continuum of care after stroke.

Trial registration: ClinicalTrials.gov NCT04915027. Registered on 4 June 2021. ISRCTN registry ISRCTN63166587. Registered on 21 August 2023.

Place, publisher, year, edition, pages
BioMed Central (BMC), 2023
Keywords
Cost-effectiveness, Daily activity, Digital tool, Effectiveness, ePROM, Health economy, Precision medicine, Social participation, Stroke rehabilitation, Structured follow-up
National Category
Health Care Service and Management, Health Policy and Services and Health Economy
Identifiers
urn:nbn:se:umu:diva-215396 (URN)10.1186/s13063-023-07673-7 (DOI)37803460 (PubMedID)2-s2.0-85173330866 (Scopus ID)
Funder
Swedish Research Council, 2022–00316Swedish Research Council, 2022– 00746Forte, Swedish Research Council for Health, Working Life and Welfare, 2020–00136Swedish Heart Lung Foundation, 2020676Västerbotten County Council, 2022–967513Vinnova, 2019–01389The Swedish Stroke Association
Available from: 2023-10-26 Created: 2023-10-26 Last updated: 2024-01-17Bibliographically approved
Hu, X.-L., Jonzén, K., Karlsson, M. & Lindahl, O. A. (2022). Assessments of a novel digital follow-up tool Rehabkompassen® to identify rehabilitation needs among stroke patients in an outpatient setting. Digital Health, 8
Open this publication in new window or tab >>Assessments of a novel digital follow-up tool Rehabkompassen® to identify rehabilitation needs among stroke patients in an outpatient setting
2022 (English)In: Digital Health, E-ISSN 2055-2076, Vol. 8Article in journal (Refereed) Published
Abstract [en]

Introduction: It remains a huge challenge to identify individual rehabilitation needs in a time-efficient manner for providing patient-tailored rehabilitation during the continuum of stroke care. We have recently demonstrated the usefulness of a paper-version Rehab-Compass as a follow-up tool. The aim of the current study was to develop a digital version of the Rehab-Compass and evaluate its usability and feasibility.

Methods: The novel digital tool Rehabkompassen® was developed by an iterative and participatory design process. Patients' rehabilitation needs were visualized by the tool and used before, during, and after the consultation. The usability and feasibility of the tool was assessed by task completion rate, the System Usability Scale, and satisfaction questionnaires among 2 physicians and 24 adult stroke patients in an outpatient clinical setting.

Results: Rehabkompassen® identified and graphically visualized a panoramic view of the stroke patients' multidimensional needs in individual- and group levels. The instrument appeared to be feasible and time efficient in clinical use with a 100% overall task completion rate for both patients and physicians. A majority of the patients reported that it was very easy or fairly easy to answer the digital questionnaires and to understand their own digital Rehab-Compass graph. Two physicians reported a high mean score on the System Usability Scale (95/100) and were positive about using the tool in the future.

Conclusions: The current results indicated that Rehabkompassen® was a feasible, useful, and time-saving follow-up tool for the identification of rehabilitation needs among stroke survivors in the post-acute continuum of care after stroke. Further research is needed to evaluate the efficacy of the digital instrument among stroke patients.

Place, publisher, year, edition, pages
Sage Publications, 2022
Keywords
digital tool, eHealth, feasibility, follow-up, need assessment, outcome assessment, outpatient setting, Stroke rehabilitation, usability
National Category
Neurology Physiotherapy
Identifiers
urn:nbn:se:umu:diva-203057 (URN)10.1177/20552076221104662 (DOI)000808094000001 ()35677783 (PubMedID)2-s2.0-85131291490 (Scopus ID)
Funder
Vinnova, 2019-01389The Swedish Stroke AssociationForte, Swedish Research Council for Health, Working Life and Welfare, 2020-00136Swedish Heart Lung Foundation, 2020676Region VästerbottenUmeå University, RV-967513
Available from: 2023-01-16 Created: 2023-01-16 Last updated: 2025-02-11Bibliographically approved
Hu, X.-L., Jonzén, K., Lindahl, O. A., Karlsson, M., Norström, F., Lundström, E. & Stibrant Sunnerhagen, K. (2022). Digital Graphic Follow-up Tool (Rehabkompassen) for Identifying Rehabilitation Needs among People after Stroke: Randomized Clinical Feasibility Study. JMIR Human Factors, 9(3), Article ID e38704.
Open this publication in new window or tab >>Digital Graphic Follow-up Tool (Rehabkompassen) for Identifying Rehabilitation Needs among People after Stroke: Randomized Clinical Feasibility Study
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2022 (English)In: JMIR Human Factors, E-ISSN 2292-9495, Vol. 9, no 3, article id e38704Article in journal (Refereed) Published
Abstract [en]

Background: Stroke is a leading cause of disability among adults, with heavy social and economic burden worldwide. A cost-effective solution is urgently needed to facilitate the identification of individual rehabilitation needs and thereby provide tailored rehabilitations to reduce disability among people who have had a stroke. A novel digital graphic follow-up tool Rehabkompassen has recently been developed to facilitate capturing the multidimensional rehabilitation needs of people who have had a stroke.

Objective: The aim of this study was to evaluate the feasibility and acceptability of conducting a definitive trial to evaluate Rehabkompassen as a digital follow-up tool among people who have had a stroke in outpatient clinical settings.

Methods: This pilot study of Rehabkompassen was a parallel, open-label, 2-arm prospective, proof-of-concept randomized controlled trial (RCT) with an allocation ratio of 1:1 in a single outpatient clinic. Patients who have had a stroke within the 3 previous months, aged ≥18 years, and living in the community were included. The trial compared usual outpatient visits with Rehabkompassen (intervention group) and without Rehabkompassen (control group) at the 3-month follow-up as well as usual outpatient visit with Rehabkompassen at the 12-month follow-up. Information on the recruitment rate, delivery, and uptake of Rehabkompassen; assessment and outcome measures completion rates; the frequency of withdrawals; the loss of follow-up; and satisfaction scores were obtained. The key outcomes were evaluated in both groups.

Results: In total, 28 patients (14 control, 14 Rehabkompassen) participated in this study, with 100 patients screened. The overall recruitment rate was 28% (28/100). Retention in the trial was 86% (24/28) at the 12-month follow-up. All participants used the tool as planned during their follow-ups, which provided a 100% (24/24) task completion rate of using Rehabkompassen and suggested excellent feasibility. Both patient- and physician-participants reported satisfaction with the instrument (19/24, 79% and 2/2, 100%, respectively). In all, 2 (N=2, 100%) physicians and 18 (N=24, 75%) patients were willing to use the tool in the future. Furthermore, modified Rankin Scale as the primary outcome and various stroke impacts as secondary outcomes were both successfully collected and compared in this study.

Conclusions: This study demonstrated the high feasibility and adherence of the study protocol as well as the high acceptability of Rehabkompassen among patients who have had a stroke and physicians in an outpatient setting in comparison to the predefined criterion. The information collected in this feasibility study combined with the amendments of the study protocol may improve the future definitive RCT. The results of this trial support the feasibility and acceptability of conducting a large definitive RCT.

Place, publisher, year, edition, pages
JMIR Publications, 2022
Keywords
acceptability, adherence, clinical setting, digital health, digital tool, eHealth, feasibility, needs assessment, outcome assessment, outpatient, randomized controlled trial, Rankin scale, RCT, rehabilitation, stroke, structured follow-up: follow-up
National Category
Neurology Physiotherapy
Identifiers
urn:nbn:se:umu:diva-199203 (URN)10.2196/38704 (DOI)000908436900032 ()2-s2.0-85136901479 (Scopus ID)
Funder
Vinnova, 2019-01389Region VästerbottenUmeå UniversityThe Swedish Stroke AssociationSwedish Heart Lung Foundation, 2020676Forte, Swedish Research Council for Health, Working Life and Welfare, 2020-00136
Available from: 2022-09-09 Created: 2022-09-09 Last updated: 2025-02-11Bibliographically approved
Mejtoft, T., Lindahl, O., Öhberg, F., Pommer, L., Jonzén, K., Andersson, B. M., . . . Hallberg, P. (2022). Medtech innovation guide: an empiric model to support medical technology innovation. Health and Technology, 12(5), 911-922
Open this publication in new window or tab >>Medtech innovation guide: an empiric model to support medical technology innovation
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2022 (English)In: Health and Technology, ISSN 2190-7188, E-ISSN 2190-7196, Vol. 12, no 5, p. 911-922Article in journal (Refereed) Published
Abstract [en]

Innovation has become increasingly important for most industries to cope with rapid technological changes as well as changing societal needs. Even though there are many sectors with specific needs when it comes to supporting innovation, the medical technology sector is facing several unique challenges that both increases the lead-time from idea to finished product and decreases the number of innovations that are developed. This paper presents a proposed innovation guide that has been developed and evaluated as a support for the innovation process within medical technology research. The guide takes the unique characteristics of the medical technology sector into account and serves as a usable guide for the innovator. The complete guide contains both a structure for the process and a usable web application to support the journey from idea to finished products and services. The paper also includes a new readiness level, Sect. 4.2 to provide support both when developing and determining the readiness for clinical implementation of a medical technology innovation.

Place, publisher, year, edition, pages
Springer, 2022
Keywords
Biomedical engineering, Innovation, Medical technology, Medtech innovation guide
National Category
Medical Laboratory Technologies
Identifiers
urn:nbn:se:umu:diva-199115 (URN)10.1007/s12553-022-00689-0 (DOI)000842927600002 ()2-s2.0-85136569769 (Scopus ID)
Funder
Umeå UniversitySwedish Agency for Economic and Regional GrowthEuropean Regional Development Fund (ERDF)
Available from: 2022-10-05 Created: 2022-10-05 Last updated: 2025-02-09Bibliographically approved
Lindahl, O. A., Bäcklund, T., Ramser, K., Liv, P., Ljungberg, B. & Bergh, A. (2021). A tactile resonance sensor for prostate cancer detection - Evaluation on human prostate tissue. Biomedical Engineering & Physics Express, 7(2), Article ID 025017.
Open this publication in new window or tab >>A tactile resonance sensor for prostate cancer detection - Evaluation on human prostate tissue
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2021 (English)In: Biomedical Engineering & Physics Express, E-ISSN 2057-1976, Vol. 7, no 2, article id 025017Article in journal (Refereed) Published
Abstract [en]

Prostate cancer surgery risks erectile problems and incontinence for the patient. An instrument for guiding surgeons to avoid nerve bundle damage and ensure complete cancer removal is desirable. We present a tactile resonance sensor made of PZT ceramics, mounted in a 3D motorized translation stage for scanning and measuring tissue stiffness for detecting cancer in human prostate. The sensor may be used during surgery for guidance, scanning the prostate surface for the presence of cancer, indicating migration of cancer cells into surrounding tissue. Ten fresh prostates, obtained from patients undergoing prostate cancer surgery, were cut into 0.5 cm thick slices. Each slice was measured for tissue stiffness at about 25 different sites and compared to histology for validation cancer prediction by stiffness. The statistical analysis was based on a total of 148 sites with non-cancer and 40 sites with cancer. Using a generalized linear mixed model (GLMM), the stiffness data predicted cancer with an area under the curve of 0.74, after correcting for overfitting using bootstrap validation. Mean prostate stiffness on the logarithmic scale (p = 0.015) and standardized Z-scores (p = 0.025) were both significant predictors of cancer. This study concludes that stiffness measured by the tactile resonance sensor is a significant predictor of prostate cancer with potential for future development towards a clinical instrument for surgical guidance.

Place, publisher, year, edition, pages
Institute of Physics (IOP), 2021
Keywords
prostate cancer, resonance sensor, stiffness
National Category
Medical Laboratory Technologies
Identifiers
urn:nbn:se:umu:diva-182116 (URN)10.1088/2057-1976/abe681 (DOI)000624514500001 ()2-s2.0-85103171622 (Scopus ID)
Available from: 2021-04-09 Created: 2021-04-09 Last updated: 2025-02-09Bibliographically approved
Jonsson, U. G., Lindahl, O. A. & Andersson, B. M. (2020). Using a look-up table technique and finite element calculations for quick detection of stiff inclusions in silicone rubber. Engineering computations, 37(6), 2137-2153
Open this publication in new window or tab >>Using a look-up table technique and finite element calculations for quick detection of stiff inclusions in silicone rubber
2020 (English)In: Engineering computations, ISSN 0264-4401, E-ISSN 1758-7077, Vol. 37, no 6, p. 2137-2153Article in journal (Refereed) Published
Abstract [en]

Purpose: The aim of the study was to show that a new method, using a look-up table technique, can be used to detect the presence and position of an inclusion embedded in a tissue-like material. Due to the time-consuming nature of the finite element (FE) method or FEM, real-time applications involving FEM as part of a control loop, are traditionally limited to slowly varying systems. By using a simplified two-dimensional FE model and a look-up table, we show by simulations and experiments that it is possible to achieve reasonable computational times in a tactile resonance sensor application.

Design/methodology/approach: A piezoelectric disk was placed in the center of a silicone rubber disk (SRD) with viscoelastic properties, where it acted as both sensor and actuator and dissipated radial acoustic waves into the silicone. The look-up table was constructed by calculating the radial Lamb wave transition frequencies in the impedance frequency response of the sensor while varying the position of an inclusion. A position-matching algorithm was developed that matched measured and calculated Lamb wave transitions and thereby identified the presence and position of an inclusion.

Findings: In an experiment, the position of a hard inclusion was determined by measuring the Lamb transition frequencies of the first radial resonance in two SRDs. The result of the matching algorithm for Disk 1 was that the matched position was less than 3% from the expected value. For Disk 2, the matching algorithm erroneously reported two false positions before reporting a position that was less than 5% from the expected value. An explanation for this discrepancy is presented. In a verifying experiment, the algorithm identified the condition with no inclusion present.

Originality/value: The approach outlined in this work, adds to the prospect of developing time-sensitive diagnostic instruments. This approach has the potential to provide a powerful technique to quickly present spatial information on detected tumors.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2020
Keywords
Finite Element Method, Look-up table, Fractional derivative model, Lamb waves, Piezoelectric sensor, Silicone rubber
National Category
Computer Sciences Electrical Engineering, Electronic Engineering, Information Engineering Physical Sciences
Identifiers
urn:nbn:se:umu:diva-168955 (URN)10.1108/EC-02-2019-0036 (DOI)000512206600001 ()2-s2.0-85079439504 (Scopus ID)
Funder
European Commission
Available from: 2020-04-01 Created: 2020-04-01 Last updated: 2022-04-04Bibliographically approved
Mejtoft, T., Andersson, B. M., Pommer, L., Karolina, J., Kerstin, R., Wåhlin, A., . . . Hallberg, P. (2019). Kan en branschspecifik innovationsmodell öka ”success rate” för medicintekniska innovationer?. In: : . Paper presented at Medicinteknikdagarna 2019, Linköping, Sweden, 2-3 oktober, 2019.
Open this publication in new window or tab >>Kan en branschspecifik innovationsmodell öka ”success rate” för medicintekniska innovationer?
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2019 (Swedish)Conference paper, Oral presentation only (Other academic)
National Category
Engineering and Technology
Identifiers
urn:nbn:se:umu:diva-166751 (URN)
Conference
Medicinteknikdagarna 2019, Linköping, Sweden, 2-3 oktober, 2019
Available from: 2019-12-26 Created: 2019-12-26 Last updated: 2021-11-01Bibliographically approved
Lindahl, O. A., Ramser, K., Bäcklund, T., Ljungberg, B. & Bergh, A. (2018). Prostate cancer detection ex vivo combining Raman spectroscopy and tactile resonance technology. In: Eskola, H Vaisanen, O Viik, J Hyttinen, J (Ed.), EMBEC & NBC 2017: . Paper presented at Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) / Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), JUN, 2017, Tampere, FINLAND (pp. 193-196). SPRINGER-VERLAG SINGAPORE PTE LTD
Open this publication in new window or tab >>Prostate cancer detection ex vivo combining Raman spectroscopy and tactile resonance technology
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2018 (English)In: EMBEC & NBC 2017 / [ed] Eskola, H Vaisanen, O Viik, J Hyttinen, J, SPRINGER-VERLAG SINGAPORE PTE LTD , 2018, p. 193-196Conference paper, Published paper (Refereed)
Abstract [en]

Prostate cancer is the most common cancer for men in the western world. The most prevalent curative treatment is radical prostatectomy. However, prostate surgery can give unwanted side effects and there is a need for an instrument that can provide decision support to the surgeon during surgery on the presence of cancer cells in the surgical margin. A dual modality probe, combining Raman spectroscopy and tactile resonance technology, has been used for detecting cancer in fresh human prostate tissue. The tactile resonance modality measures the tissue stiffness and Raman spectroscopy depicts the molecular content in tissue, both related to cancer. After ethical approval, the study investigated the potential of the dual-modality probe by testing its ability to differentiate between normal and cancerous prostate tissue ex vivo. It also investigated the minimal amount of measurement points needed to securely detect cancer on the surface of prostate tissue. Measurements on three prostate tissue slices show that the tactile resonance modality measuring stiffness was able to detect differences between normal and cancerous tissue on a significant level of 90%, but the sample size was too low to draw any firm conclusions. It was also suggested from the study results that the high wavenumber region in the Raman spectrum can give valuable information about cancer in prostate tissue. A number of 24 measurement points were enough for detecting cancer in prostate slices in this study. It can be suggested from this study that combining these two sensor modalities is promising for accurate detection of prostate cancer that is needed during prostate surgery, but more measurements including more prostates must be performed before the full value of the study result can be established.

Place, publisher, year, edition, pages
SPRINGER-VERLAG SINGAPORE PTE LTD, 2018
Series
IFMBE Proceedings, ISSN 1680-0737 ; 65
Keywords
Raman spectroscopy, tactile resonance technology, prostate cancer, radical prostatectomy, surgical margin
National Category
Medical Laboratory Technologies
Identifiers
urn:nbn:se:umu:diva-155049 (URN)10.1007/978-981-10-5122-7_49 (DOI)000449778900049 ()2-s2.0-85021733002 (Scopus ID)978-981-10-5121-0 (ISBN)978-981-10-5122-7 (ISBN)
Conference
Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) / Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), JUN, 2017, Tampere, FINLAND
Available from: 2019-01-07 Created: 2019-01-07 Last updated: 2025-02-09Bibliographically approved
Åstrand, A., Andersson, B., Jalkanen, V., Börje, L., Anders, B. & Lindahl, O. (2017). Prostate cancer detection with a tactile resonance sensor: measurement considerations and clinical setup. Sensors, 17(11), Article ID 2453.
Open this publication in new window or tab >>Prostate cancer detection with a tactile resonance sensor: measurement considerations and clinical setup
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2017 (English)In: Sensors, E-ISSN 1424-8220, Vol. 17, no 11, article id 2453Article in journal (Refereed) Published
Abstract [en]

Tumors in the human prostate are usually stiffer compared to surrounding non-malignant glandular tissue, and tactile resonance sensors measuring stiffness can be used to detect prostate cancer. To explore this further, we used a tactile resonance sensor system combined with a rotatable sample holder where whole surgically removed prostates could be attached to detect tumors on, and beneath, the surface ex vivo. Model studies on tissue phantoms made of silicone and porcine tissue were performed. Finally, two resected human prostate glands were studied. Embedded stiff silicone inclusions placed 4 mm under the surface could be detected in both the silicone and biological tissue models, with a sensor indentation of 0.6 mm. Areas with different amounts of prostate cancer (PCa) could be distinguished from normal tissue (p < 0.05), when the tumor was located in the anterior part, whereas small tumors located in the dorsal aspect were undetected. The study indicates that PCa may be detected in a whole resected prostate with an uneven surface and through its capsule. This is promising for the development of a clinically useful instrument to detect prostate cancer during surgery.

Place, publisher, year, edition, pages
Switzerland: MDPI AG, 2017
Keywords
tissue stiffness, resonance sensor, tactile sensor, prostate cancer, piezoelectric sensor
National Category
Medical Laboratory Technologies
Identifiers
urn:nbn:se:umu:diva-141158 (URN)10.3390/s17112453 (DOI)000416790500015 ()2-s2.0-85032676040 (Scopus ID)
Available from: 2017-10-26 Created: 2017-10-26 Last updated: 2025-02-09Bibliographically approved
Murayama, Y. & Lindahl, O. A. (2017). Sensitivity improvements of a resonance-based tactile sensor.. Journal of Medical Engineering & Technology, 41(2), 131-140
Open this publication in new window or tab >>Sensitivity improvements of a resonance-based tactile sensor.
2017 (English)In: Journal of Medical Engineering & Technology, ISSN 0309-1902, E-ISSN 1464-522X, Vol. 41, no 2, p. 131-140Article in journal (Refereed) Published
Abstract [en]

Resonance-based contact-impedance measurement refers to the application of resonance sensors based on the measurement of the changes in the resonance curve of an ultrasonic resonator in contact with a surface. The advantage of the resonance sensor is that it is very sensitive to small changes in the contact impedance. A sensitive micro tactile sensor (MTS) was developed, which measured the elasticity of soft living tissues at the single-cell level. In the present paper, we studied the method of improving the touch and stiffness sensitivity of the MTS. First, the dependence of touch sensitivity in relation to the resonator length was studied by calculating the sensitivity coefficient at each length ranging from 9 to 40 mm. The highest touch sensitivity was obtained with a 30-mm-long glass needle driven at a resonance frequency of 100 kHz. Next, the numerical calculation of contact impedance showed that the highest stiffness sensitivity was achieved when the driving frequency was 100 kHz and the contact-tip diameter of the MTS was 10 μm. The theoretical model was then confirmed experimentally using a phase-locked-loop-based digital feedback oscillation circuit. It was found that the developed MTS, whose resonant frequency was 97.030 kHz, performed with the highest sensitivity of 53.2 × 10(6) Hz/N at the driving frequency of 97.986 kHz, i.e. the highest sensitivity was achieved at 956 Hz above the resonant frequency.

Keywords
Resonance-based sensor, Young’s modulus, contact impedance, stiffness sensitivity, tactile
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
urn:nbn:se:umu:diva-133977 (URN)10.1080/03091902.2016.1239278 (DOI)27701917 (PubMedID)2-s2.0-84990201247 (Scopus ID)
Available from: 2017-04-24 Created: 2017-04-24 Last updated: 2023-03-24Bibliographically approved
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