Skip to content
Sensor Technology and Biomeasurements

Publications

Full list of publication by the group leader: Scopus, Google Scholar,  Tunicris Researcher profile

2024

  1. Joutsen, A, Cömert, A, Kaappa, E, Vanhatalo, K, Riistama, J, Vehkaoja, A et al.. ECG signal quality in intermittent long-term dry electrode recordings with controlled motion artifacts. Sci Rep. 2024;14 (1):8882. doi: 10.1038/s41598-024-56595-0. PubMed PMID:38632263 PubMed Central PMC11024137.
  2. Salminen, M, Perttunen, J, Avela, J, Vehkaoja, A. A novel method for accurate division of the gait cycle into seven phases using shank angular velocity. Gait Posture. 2024;111 :1-7. doi: 10.1016/j.gaitpost.2024.04.006. PubMed PMID:38603967 .
  3. Pakarinen, T, Oksala, N, Vehkaoja, A. Confounding factors in peripheral thermal recovery time after active cooling. J Therm Biol. 2024;121 :103826. doi: 10.1016/j.jtherbio.2024.103826. PubMed PMID:38520770 .
  4. Moreno-Sánchez, PA, García-Isla, G, Corino, VDA, Vehkaoja, A, Brukamp, K, van Gils, M et al.. ECG-based data-driven solutions for diagnosis and prognosis of cardiovascular diseases: A systematic review. Comput Biol Med. 2024;172 :108235. doi: 10.1016/j.compbiomed.2024.108235. PubMed PMID:38460311 .
  5. Rohr, M, Tarvainen, M, Miri, S, Güney, G, Vehkaoja, A, Hoog Antink, C et al.. An extensive quantitative analysis of the effects of errors in beat-to-beat intervals on all commonly used HRV parameters. Sci Rep. 2024;14 (1):2498. doi: 10.1038/s41598-023-50701-4. PubMed PMID:38291034 PubMed Central PMC10828497.
  6. Salminen, M, Suominen, S, Inomata, A, Hotta, S, Sasamoto, Y, Saarni, L et al.. Gyroscope sensor data of shank motion during normal and barefoot walking. Data Brief. 2024;52 :109858. doi: 10.1016/j.dib.2023.109858. PubMed PMID:38146305 PubMed Central PMC10749225.

Search PubMed

2023

  1. Salminen, M, Suominen, S, Inomata, A, Hotta, S, Sasamoto, Y, Saarni, L et al.. Gyroscope sensor data of shank motion during normal and barefoot walking. Data Brief. 2024;52 :109858. doi: 10.1016/j.dib.2023.109858. PubMed PMID:38146305 PubMed Central PMC10749225.
  2. Charlton, PH, Allen, J, Bailón, R, Baker, S, Behar, JA, Chen, F et al.. The 2023 wearable photoplethysmography roadmap. Physiol Meas. 2023;44 (11):. doi: 10.1088/1361-6579/acead2. PubMed PMID:37494945 PubMed Central PMC10686289.
  3. Saarinen, HJ, Joutsen, A, Korpi, K, Halkola, T, Nurmi, M, Hernesniemi, J et al.. Wrist-worn device combining PPG and ECG can be reliably used for atrial fibrillation detection in an outpatient setting. Front Cardiovasc Med. 2023;10 :1100127. doi: 10.3389/fcvm.2023.1100127. PubMed PMID:36844740 PubMed Central PMC9949528.
  4. Pakarinen, T, Joutsen, A, Oksala, N, Vehkaoja, A. Assessment of chronic limb threatening ischemia using thermal imaging. J Therm Biol. 2023;112 :103467. doi: 10.1016/j.jtherbio.2023.103467. PubMed PMID:36796912 .
  5. Virtanen, J, Roine, A, Kontunen, A, Karjalainen, M, Numminen, J, Oksala, N et al.. The Detection of Bacteria in the Maxillary Sinus Secretion of Patients With Acute Rhinosinusitis Using an Electronic Nose: A Pilot Study. Ann Otol Rhinol Laryngol. 2023;132 (11):1330-1335. doi: 10.1177/00034894231151301. PubMed PMID:36691987 PubMed Central PMC10498650.
  6. Rinne, JKA, Miri, S, Oksala, N, Vehkaoja, A, Kössi, J. Evaluation of a wrist-worn photoplethysmography monitor for heart rate variability estimation in patients recovering from laparoscopic colon resection. J Clin Monit Comput. 2023;37 (1):45-53. doi: 10.1007/s10877-022-00854-w. PubMed PMID:35394583 PubMed Central PMC9852147.

Search PubMed

2022

  1. Linschmann, O, Leonhardt, S, Vehkaoja, A, Hoog Antink, C. Estimation of the respiratory rate from ballistocardiograms using the Hilbert transform. Biomed Eng Online. 2022;21 (1):54. doi: 10.1186/s12938-022-01024-4. PubMed PMID:35927665 PubMed Central PMC9354426.
  2. Virtanen, J, Kontunen, A, Numminen, J, Oksala, N, Rautiainen, M, Roine, A et al.. Identifying chronic rhinosinusitis without nasal polyps by analyzing aspirated nasal air with an electronic nose based on differential mobility spectrometry. Acta Otolaryngol. 2022;142 (6):524-531. doi: 10.1080/00016489.2022.2093397. PubMed PMID:35787097 .
  3. Somppi, S, Törnqvist, H, Koskela, A, Vehkaoja, A, Tiira, K, Väätäjä, H et al.. Dog-Owner Relationship, Owner Interpretations and Dog Personality Are Connected with the Emotional Reactivity of Dogs. Animals (Basel). 2022;12 (11):. doi: 10.3390/ani12111338. PubMed PMID:35681804 PubMed Central PMC9179432.
  4. Ruokolainen, J, Haladijan, J, Juutinen, M, Puustinen, J, Holm, A, Vehkaoja, A et al.. Mobilemicroservices Architecture for Remote Monitoring of Patients: A Feasibility Study. Stud Health Technol Inform. 2022;290 :200-204. doi: 10.3233/SHTI220061. PubMed PMID:35673000 .
  5. Haapala, I, Kondratev, A, Roine, A, Mäkelä, M, Kontunen, A, Karjalainen, M et al.. Method for the Intraoperative Detection of IDH Mutation in Gliomas with Differential Mobility Spectrometry. Curr Oncol. 2022;29 (5):3252-3258. doi: 10.3390/curroncol29050265. PubMed PMID:35621655 PubMed Central PMC9139325.
  6. Rinne, JKA, Miri, S, Oksala, N, Vehkaoja, A, Kössi, J. Evaluation of a wrist-worn photoplethysmography monitor for heart rate variability estimation in patients recovering from laparoscopic colon resection. J Clin Monit Comput. 2023;37 (1):45-53. doi: 10.1007/s10877-022-00854-w. PubMed PMID:35394583 PubMed Central PMC9852147.
  7. Lindfors, L, Sioris, P, Anttalainen, A, Korelin, K, Kontunen, A, Karjalainen, M et al.. Detection of cultured breast cancer cells from human tumor-derived matrix by differential ion mobility spectrometry. Anal Chim Acta. 2022;1202 :339659. doi: 10.1016/j.aca.2022.339659. PubMed PMID:35341512 .
  8. Lepomäki, M, Anttalainen, A, Vuorinen, A, Tolonen, T, Kontunen, A, Karjalainen, M et al.. Laser desorption tissue imaging with Differential Mobility Spectrometry. Exp Mol Pathol. 2022;125 :104759. doi: 10.1016/j.yexmp.2022.104759. PubMed PMID:35337806 .
  9. Vehkaoja, A, Somppi, S, Törnqvist, H, Valldeoriola Cardó, A, Kumpulainen, P, Väätäjä, H et al.. Description of movement sensor dataset for dog behavior classification. Data Brief. 2022;40 :107822. doi: 10.1016/j.dib.2022.107822. PubMed PMID:35079615 PubMed Central PMC8777071.

Search PubMed

2021

  1. Väätäjä, H, Majaranta, P, Cardó, AV, Isokoski, P, Somppi, S, Vehkaoja, A et al.. The Interplay Between Affect, Dog’s Physical Activity and Dog-Owner Relationship. Front Vet Sci. 2021;8 :673407. doi: 10.3389/fvets.2021.673407. PubMed PMID:34957271 PubMed Central PMC8695727.
  2. Virtanen, J, Anttalainen, A, Ormiskangas, J, Karjalainen, M, Kontunen, A, Rautiainen, M et al.. Differentiation of aspirated nasal air from room air using analysis with a differential mobility spectrometry-based electronic nose: a proof-of-concept study. J Breath Res. 2021;16 (1):. doi: 10.1088/1752-7163/ac3b39. PubMed PMID:34794137 .
  3. Mäkelä, E, Venesvirta, H, Ilves, M, Lylykangas, J, Rantanen, V, Uusitalo, H et al.. Electrically Induced Blink for the Prevention of Ocular Symptoms and Blurred Vision in Patients With Acute Facial Nerve Palsy. Ear Nose Throat J. 2021; :1455613211048576. doi: 10.1177/01455613211048576. PubMed PMID:34714168 .
  4. Hoog Antink, C, Mai, Y, Peltokangas, M, Leonhardt, S, Oksala, N, Vehkaoja, A et al.. Accuracy of heart rate variability estimated with reflective wrist-PPG in elderly vascular patients. Sci Rep. 2021;11 (1):8123. doi: 10.1038/s41598-021-87489-0. PubMed PMID:33854090 PubMed Central PMC8047026.
  5. Anttalainen, A, Mäkelä, M, Kumpulainen, P, Vehkaoja, A, Anttalainen, O, Oksala, N et al.. Predicting lecithin concentration from differential mobility spectrometry measurements with linear regression models and neural networks. Talanta. 2021;225 :121926. doi: 10.1016/j.talanta.2020.121926. PubMed PMID:33592698 .
  6. Haapala, M, Lyytikäinen, LP, Peltokangas, M, Koivistoinen, T, Hutri-Kähönen, N, Laurila, MM et al.. Impedance plethysmography-based method in the assessment of subclinical atherosclerosis. Atherosclerosis. 2021;319 :101-107. doi: 10.1016/j.atherosclerosis.2021.01.006. PubMed PMID:33503553 .

Search PubMed

2020

  1. Anttalainen, A, Mäkelä, M, Kumpulainen, P, Vehkaoja, A, Anttalainen, O, Oksala, N et al.. Predicting lecithin concentration from differential mobility spectrometry measurements with linear regression models and neural networks. Talanta. 2021;225 :121926. doi: 10.1016/j.talanta.2020.121926. PubMed PMID:33592698 .
  2. Mäkelä, EA, Ilves, MK, Venesvirta, HM, Lylykangas, JK, Rantanen, VT, Vehkaoja, AT et al.. Effect of pulse waveforms on movement amplitudes and perceived discomfort in electric muscle stimulation in unresolved facial nerve palsy. Biomed Phys Eng Express. 2020;6 (3):035013. doi: 10.1088/2057-1976/ab7eea. PubMed PMID:33438658 .
  3. Lehti, M, Valkeinen, H, Sipilä, S, Perhonen, M, Rottensteiner, M, Pullinen, T et al.. Effects of aerobic and strength training on aerobic capacity, muscle strength, and gene expression of lymphomonocytes in patients with stable CAD. Am J Transl Res. 2020;12 (8):4582-4593. . PubMed PMID:32913532 PubMed Central PMC7476147.
  4. Kontunen, A, Tuominen, J, Karjalainen, M, Anttalainen, O, Tolonen, T, Kumpulainen, P et al.. Differential mobility spectrometry imaging for pathological applications. Exp Mol Pathol. 2020;117 :104526. doi: 10.1016/j.yexmp.2020.104526. PubMed PMID:32888958 .
  5. Juutinen, M, Wang, C, Zhu, J, Haladjian, J, Ruokolainen, J, Puustinen, J et al.. Parkinson’s disease detection from 20-step walking tests using inertial sensors of a smartphone: Machine learning approach based on an observational case-control study. PLoS One. 2020;15 (7):e0236258. doi: 10.1371/journal.pone.0236258. PubMed PMID:32701955 PubMed Central PMC7377496.
  6. Hokkinen, L, Kesti, A, Lepomäki, J, Anttalainen, O, Kontunen, A, Karjalainen, M et al.. Differential mobility spectrometry classification of bacteria. Future Microbiol. 2020;15 :233-240. doi: 10.2217/fmb-2019-0192. PubMed PMID:32271111 .
  7. Hoog Antink, C, Mai, Y, Aalto, R, Bruser, C, Leonhardt, S, Oksala, N et al.. Ballistocardiography Can Estimate Beat-to-Beat Heart Rate Accurately at Night in Patients After Vascular Intervention. IEEE J Biomed Health Inform. 2020;24 (8):2230-2237. doi: 10.1109/JBHI.2020.2970298. PubMed PMID:32011272 .

Search PubMed

2019

  1. Jeyhani, V, Mantysalo, M, Noponen, K, Seppanen, T, Vehkaoja, A. Effect of Different ECG Leads on Estimated R-R Intervals and Heart Rate Variability Parameters. Annu Int Conf IEEE Eng Med Biol Soc. 2019;2019 :3786-3790. doi: 10.1109/EMBC.2019.8857954. PubMed PMID:31946698 .
  2. Mäkelä, E, Venesvirta, H, Ilves, M, Lylykangas, J, Rantanen, V, Ylä-Kotola, T et al.. Facial muscle reanimation by transcutaneous electrical stimulation for peripheral facial nerve palsy. J Med Eng Technol. 2019;43 (3):155-164. doi: 10.1080/03091902.2019.1637470. PubMed PMID:31305190 .
  3. Haapala, I, Karjalainen, M, Kontunen, A, Vehkaoja, A, Nordfors, K, Haapasalo, H et al.. Identifying brain tumors by differential mobility spectrometry analysis of diathermy smoke. J Neurosurg. 2019; :1-7. doi: 10.3171/2019.3.JNS19274. PubMed PMID:31200382 .
  4. Jauhiainen, M, Puustinen, J, Mehrang, S, Ruokolainen, J, Holm, A, Vehkaoja, A et al.. Identification of Motor Symptoms Related to Parkinson Disease Using Motion-Tracking Sensors at Home (KÄVELI): Protocol for an Observational Case-Control Study. JMIR Res Protoc. 2019;8 (3):e12808. doi: 10.2196/12808. PubMed PMID:30916665 PubMed Central PMC6456828.
  5. Peltokangas, M, Vakhitov, D, Suominen, V, Korhonen, J, Huotari, M, Verho, J et al.. Lower Limb Pulse Rise Time as a Marker of Peripheral Arterial Disease. IEEE Trans Biomed Eng. 2019;66 (9):2596-2603. doi: 10.1109/TBME.2019.2892407. PubMed PMID:30640595 .
  6. Lindström, I, Khan, N, Vänttinen, T, Peltokangas, M, Sillanpää, N, Oksala, N et al.. Psoas Muscle Area and Quality Are Independent Predictors of Survival in Patients Treated for Abdominal Aortic Aneurysms. Ann Vasc Surg. 2019;56 :183-193.e3. doi: 10.1016/j.avsg.2018.08.096. PubMed PMID:30476615 .
  7. Sutinen, M, Kontunen, A, Karjalainen, M, Kiiski, J, Hannus, J, Tolonen, T et al.. Identification of breast tumors from diathermy smoke by differential ion mobility spectrometry. Eur J Surg Oncol. 2019;45 (2):141-146. doi: 10.1016/j.ejso.2018.09.005. PubMed PMID:30366874 .
  8. Peltokangas, M, Suominen, V, Vakhitov, D, Korhonen, J, Verho, J, Mattila, VM et al.. Effects of Percutaneous Transluminal Angioplasty of Superficial Femoral Artery on Photoplethysmographic Pulse Transit Times. IEEE J Biomed Health Inform. 2019;23 (3):1058-1065. doi: 10.1109/JBHI.2018.2851388. PubMed PMID:29994622 .

Search PubMed

2018

  1. Lindström, I, Khan, N, Vänttinen, T, Peltokangas, M, Sillanpää, N, Oksala, N et al.. Psoas Muscle Area and Quality Are Independent Predictors of Survival in Patients Treated for Abdominal Aortic Aneurysms. Ann Vasc Surg. 2019;56 :183-193.e3. doi: 10.1016/j.avsg.2018.08.096. PubMed PMID:30476615 .
  2. Tarniceriu, A, Harju, J, Yousefi, ZR, Vehkaoja, A, Parak, J, Yli-Hankala, A et al.. The Accuracy of Atrial Fibrillation Detection from Wrist Photoplethysmography. A Study on Post-Operative Patients. Annu Int Conf IEEE Eng Med Biol Soc. 2018;2018 :1-4. doi: 10.1109/EMBC.2018.8513197. PubMed PMID:30440305 .
  3. Sutinen, M, Kontunen, A, Karjalainen, M, Kiiski, J, Hannus, J, Tolonen, T et al.. Identification of breast tumors from diathermy smoke by differential ion mobility spectrometry. Eur J Surg Oncol. 2019;45 (2):141-146. doi: 10.1016/j.ejso.2018.09.005. PubMed PMID:30366874 .
  4. Virtanen, J, Hokkinen, L, Karjalainen, M, Kontunen, A, Vuento, R, Numminen, J et al.. In vitro detection of common rhinosinusitis bacteria by the eNose utilising differential mobility spectrometry. Eur Arch Otorhinolaryngol. 2018;275 (9):2273-2279. doi: 10.1007/s00405-018-5055-8. PubMed PMID:30043078 .
  5. Peltokangas, M, Suominen, V, Vakhitov, D, Korhonen, J, Verho, J, Mattila, VM et al.. Effects of Percutaneous Transluminal Angioplasty of Superficial Femoral Artery on Photoplethysmographic Pulse Transit Times. IEEE J Biomed Health Inform. 2019;23 (3):1058-1065. doi: 10.1109/JBHI.2018.2851388. PubMed PMID:29994622 .
  6. Harju, J, Tarniceriu, A, Parak, J, Vehkaoja, A, Yli-Hankala, A, Korhonen, I et al.. Monitoring of heart rate and inter-beat intervals with wrist plethysmography in patients with atrial fibrillation. Physiol Meas. 2018;39 (6):065007. doi: 10.1088/1361-6579/aac9a9. PubMed PMID:29856730 .
  7. Virtanen, J, Somppi, S, Törnqvist, H, Jeyhani, V, Fiedler, P, Gizatdinova, Y et al.. Evaluation of Dry Electrodes in Canine Heart Rate Monitoring. Sensors (Basel). 2018;18 (6):. doi: 10.3390/s18061757. PubMed PMID:29848952 PubMed Central PMC6022057.
  8. Pirhonen, M, Peltokangas, M, Vehkaoja, A. Acquiring Respiration Rate from Photoplethysmographic Signal by Recursive Bayesian Tracking of Intrinsic Modes in Time-Frequency Spectra. Sensors (Basel). 2018;18 (6):. doi: 10.3390/s18061693. PubMed PMID:29795007 PubMed Central PMC6022083.
  9. Kontunen, A, Karjalainen, M, Lekkala, J, Roine, A, Oksala, N. Tissue Identification in a Porcine Model by Differential Ion Mobility Spectrometry Analysis of Surgical Smoke. Ann Biomed Eng. 2018;46 (8):1091-1100. doi: 10.1007/s10439-018-2035-5. PubMed PMID:29691788 .
  10. Peltokangas, M, Suominen, V, Vakhitov, D, Verho, J, Korhonen, J, Lekkala, J et al.. The effect of percutaneous transluminal angioplasty of superficial femoral artery on pulse wave features. Comput Biol Med. 2018;96 :274-282. doi: 10.1016/j.compbiomed.2018.04.003. PubMed PMID:29665536 .
  11. Karjalainen, M, Kontunen, A, Saari, S, Rönkkö, T, Lekkala, J, Roine, A et al.. The characterization of surgical smoke from various tissues and its implications for occupational safety. PLoS One. 2018;13 (4):e0195274. doi: 10.1371/journal.pone.0195274. PubMed PMID:29649244 PubMed Central PMC5896939.
  12. Peltokangas, M, Verho, J, Mattila, VM, Romsi, P, Vehkaoja, A, Lekkala, J et al.. Areas under peripheral pulse waves: a potential marker of atherosclerotic changes. Physiol Meas. 2018;39 (2):025003. doi: 10.1088/1361-6579/aaa46b. PubMed PMID:29286004 .
  13. Peltokangas, M, Telembeci, AA, Verho, J, Mattila, VM, Romsi, P, Vehkaoja, A et al.. Parameters Extracted From Arterial Pulse Waves as Markers of Atherosclerotic Changes: Performance and Repeatability. IEEE J Biomed Health Inform. 2018;22 (3):750-757. doi: 10.1109/JBHI.2017.2679904. PubMed PMID:28287995 .
  14. Harju, J, Vehkaoja, A, Kumpulainen, P, Campadello, S, Lindroos, V, Yli-Hankala, A et al.. Comparison of non-invasive blood pressure monitoring using modified arterial applanation tonometry with intra-arterial measurement. J Clin Monit Comput. 2018;32 (1):13-22. doi: 10.1007/s10877-017-9984-3. PubMed PMID:28105538 .

Search PubMed