Jaakko A. Malmivuo | |
---|---|
Nationality | Finnish |
Occupation(s) | Engineer, academic, author and opera singer |
Academic background | |
Education | MSc., Engineering Doctor of Technology |
Alma mater | Helsinki University of Technology (now Aalto University) |
Academic work | |
Institutions | Stanford University Tampere University of Technology (now University of Tampere) Ragnar Granit Institute Technische Universität Berlin Helmholtz Institute for Biomedical Engineering at RWTH Aachen University |
Jaakko A. Malmivuo is a Finnish engineer,academic,author,and opera singer. He was a professor of Bioelectromagnetism at Tampere University of Technology (TUT) from 1976 to 2010,an adjunct professor in the Faculty of Medicine at the University of Tampere as well as a visiting professor in the Faculty of Electrical Engineering and Computer Science,Electronics,and Medical Signal Processing at Technische Universität Berlin. Moreover,he was a director of the Ragnar Granit Institute at TUT from 1992. [1]
Malmivuo is most known for his work on bioelectromagnetism,primarily focusing on the magnetic field of the heart and brain. Among his authored works are publications in academic journals,including IEEE Transactions on Biomedical Engineering [2] as well as books such as On the Detection of the Magnetic Heart Vector –An Application of the Reciprocity Theorem (doctoral thesis) and the book that he co-authored with Robert Plonsey:Bioelectromagnetism –Principles and Applications of Bioelectric and Biomagnetic Fields. [3]
Malmivuo is an IEEE Life Fellow,a fellow at the International Academy of Medical and Biological Engineering, [4] and a founding fellow at the European Alliance for Medical and Biological Engineering and Science. [5]
He is a founding member of the Finnish Society for Medical Physics and Medical Engineering and the Finnish Brain Research Society. Moreover,he founded the International Society for Bioelectromagnetism [6] and is the founder and editor-in-chief of the first scientific open-access journal on the Internet,the International Journal of Bioelectromagnetism. [7]
Malmivuo completed his MSc in Engineering from Helsinki University of Technology in 1971. In 1973,he obtained a Licentiate of Technology and a Doctor of Technology degree from the same institution in 1976. [2]
Malmivuo's academic career began at Helsinki University of Technology in 1970 as a research assistant and researcher,a position he held until 1972. Subsequently,from 1972 to 1975,he worked as a clinical engineer at Helsinki University Hospital,the First Medical Clinic. From 1974 to 1975,he was an Asla Fulbright Grantee,and from 1975 to 1976 a researcher at Stanford University,California. In 1976,he joined TUT and served as an associate professor of Bioelectromagnetism until 1985. In 1982,he received the Medal of Honor from the university for serving in 1980–1982 as Chairman of the Organizing Committee and Master of Ceremonies in 1982 in the First Solemn Conferment of the Academic Degrees (tohtoripromootio). [8] Concurrently,he served as an acting professor of electronics from 1979 to 1980 and 1984–1985. In 1987,he was promoted to professor of Bioelectromagnetism at TUT,a role he held until his retirement in 2010. Moreover,he also held the position of visiting professor in the Faculty of Electrical Engineering and Computer Science,Electronics,and Medical Signal Processing at Technische Universität Berlin from 2016 until 2020. [9]
From 1978 to 1992,Malmivuo worked as an opera singer (bass) at the Tampere Opera while maintaining academic responsibilities. He served as the president of the Finnish Society for Medical Physics and Medical Engineering from 1987 to 1990 and the President of the International Society for Bioelectromagnetism from 1995 to 1999. [6]
Additionally,he was also the president of the 30th International Congress on Electrocardiology Helsinki in June 2003,which included the Midnight Sun Symposium at Saariselkä,Lapland. [10]
Malmivuo's research is primarily centered on bioelectromagnetism. He has authored and co-authored 700 publications spanning the areas of electrocardiography,electroencephalography,magnetocardiography,and magnetoencephalography,including books,book chapters,and articles in peer-reviewed journals. [2]
Malmivuo holds patents on several projects. [11] Along with Sakari Oja and Juha Nousiainen,he developed a device that measures the bioelectric activity of the heart and nervous system by integrating data from both electric and magnetic field measurements generated by their bioelectrical functions. [12] Moreover,he also developed a technique to monitor multiple superconducting quantum interferometers (also known as rf-SQUIDs). [13]
In his doctoral thesis titled "On the detection of the magnetic heart vector –An application of the reciprocity theorem",Malmivuo presented research in magnetocardiography,focusing on developing and evaluating lead systems for magnetic heart vector (MHV) detection through complex mathematical models and experimental methods,ultimately providing practical information for clinical applications in diagnosing heart-related conditions. [14] In 1987,he authored the publication "Magnetic Stimulation –Design of a Prototype and Preliminary Clinical Experiments" which highlighted several advantages of magnetic stimulation over electric stimulation. [15] Concentrating on bioelectromagnetism,his 1995 book with Robert Plonsey titled Bioelectromagnetism –Principles and Applications of Bioelectric and Biomagnetic Fields explored the intersection of engineering science and technology with biological cells and tissues that have electrical conductivity and excitability with a focus on theory,practical applications,and the development of new systems. In 2002 it was published on the Internet. [16]
Malmivuo has used the principle of reciprocity to solve problems in bioelectromagnetism. When he started the research for his doctoral thesis at Stanford University in 1976,it was generally believed in two hypotheses that strongly supported the application of biomagnetism. Firstly,based on the Helmholtz theorem:"Since the bioelectric and biomagnetic signals (like ECG and MCG) are independent,one should obtain as much new information from the heart with MCG as has been derived from ECG". However,Malmivuo showed in 1995 that the Helmholtz theorem concerns the distribution of the electric and magnetic measurements' measurement sensitivities (lead fields). The ECG and MCG signals are only partially independent. A more comprehensive set of diagnostic information is obtained from the heart by combining ECG and MCG measurements to electromagnetocardiography,EMCG. [17] Secondly:Since the skull has high electric resistivity,which scatters the measurement sensitivity of the EEG,and since the skull is transparent to magnetic fields,MEG should be able to focus its measurement sensitivity better than EEG. However,Malmivuo calculated the measurement sensitivity distributions of EEG and MEG and concluded that despite the high electric resistivity of the skull,the EEG better focuses its measurement. However,like in MCG,more significant insights into the brain's electric activity are obtained when utilizing both EEG and MEG as EMEG,instead of relying solely on EEG. [18]
Malmivuo found that Magnetic stimulation is much better in brain stimulation since it stimulates the nerves in the scalp much less and makes brain stimulation painless. In his doctoral thesis,Malmivuo developed several lead systems for measuring the MHV. He also described the lead fields,i.e.,the measurement sensitivity distributions of these systems. With clinical measurements,Malmivuo et al. demonstrated that all three dipolar ECG and three dipolar MCG leads have approximately similar diagnostic performance. [19]
Malmivuo and his team found that when adding dipolar electric and magnetic leads to the measurement system,the total diagnostic performance increases the less,the more dipolar leads there already are. This behavior is independent of the order in which the electric and magnetic leads are added to the system. The experimental part of these studies was made in Malmivuo's laboratory at TUT,where in 1979,he constructed the first magnetically shielded room in the Nordic countries. The 2x2x2 m3 room is constructed from 45 mm thick aluminum boards and provided with Helmholtz coils,which compensate for the earth's static magnetic field. Its attenuation for 50 Hz magnetic field is 50 dB. [9]
In his early research with William H. Barry and others,he proposed adapting the right-handed coordinate system,commonly used in physical sciences,to clinical electrocardiography and magnetocardiography for a more convenient and mathematically consistent analysis of the electric and magnetic fields produced by the human heart. He also addressed the shortcomings of earlier coordinate systems. [20]
Focusing on the general solution for the application of magnetocardiography,he suggested that vector electro-magnetocardiography (VEMCG),i.e.,combining VECG and VMCG leads to VEMCG,offering a diagnostic tool for cardiac conditions,with experimental evidence indicating improved accuracy. [21]
In electric impedance tomography (EIT),Malmivuo and his co-authors demonstrated that the method generally used to construct the impedance tomography image needs to be corrected. Based on the principle of reciprocity. [22]
Concentrating his research efforts on the optimizing of measurement schemes in EIT,he employed computer models to simulate sensitivity distributions for various commonly used measurement methods in EIT,including neighboring,cross,opposite,and adaptive methods. His research findings indicated that the cross and opposite methods provide the highest sensitivities,while the neighboring method is the least sensitive when considering single measurements. [23] [24]
In collaboration with Outi Väisänen,Malmivuo presented a novel multielectrode lead technique for scalp-recorded EEG signals,demonstrating improved signal-to-noise ratio through specific sensitivity distribution for deep brain sources and spatial averaging of noise based on theoretical analysis,simulations,and experimental measurements. [25] Moreover,focusing his research efforts on the diagnosis of cardiac diseases,he provided theoretical and clinical evidence for increasing the number of electric and magnetic leads in medical diagnosis to improve diagnostic performance. [26]
In 1980,Malmivuo conducted a comparative analysis of magnetoencephalography (MEG) and electroencephalography (EEG) regarding their theory and practical applications in detecting bioelectric brain activity,applying reciprocity within the framework of lead field theory to enhance detector design and placement for improved measurement accuracy. [27] His 1987 research with Jouko Puikkonen suggested that multichannel SQUID detectors improve the speed and spatial capabilities of magnetic detection of brain activity (MEG),allowing simultaneous recording from multiple locations and the ability to extract one-dimensional information through channel combinations. [28] Expanding on the historical debate between bioelectric and biomagnetic measurements,his study presented evidence for their interdependence,compared the spatial resolutions of EEG and MEG,and concluded that while they do not offer similar spatial resolutions,recording both methods can provide additional information about brain activity with unique properties for specific applications. [29] However,both MEG and EEG capture brain electric activity in a similar manner when using specific sensor types. [18] Moreover,his joint study with Nevzat G. Gencer and others provided a comprehensive overview encompassing the techniques,obstacles,and unresolved matters pertaining to EEG and MEG source imaging. The paper also underscored the significance of conducting real-time measurements of conductivity on living tissue as a means to enhance both forward and inverse solutions and suggested the importance of meticulously recording details about the measurement setups,particularly concerning moisture and temperature levels. [30] Altogether,he has written and co-written about 700 publications. [9] [31]
In the 1970s –1980s,Malmivuo had several research projects that had industrial potential. He suggested to TUT's rector that a research center in electronics and computer science close to TUT should be established. He repeated the initiative in a seminar on economics at TUT in January 1981. After that,a working group was finally established to build the research center Hermia next to TUT. The first research building was built in 1986. Later,more research buildings were constructed in the area,composing a science park. [32]
In 1989,Malmivuo,with his colleague from the Faculty of Medicine at the University of Tampere,made an initiative to the City of Tampere to build a Biomedical Engineering Research Center near the Tampere University Central Hospital. The building,called Finn-Medi,was completed in 1995. The total number of personnel at Malmivuo's institute was about 40. About half of them moved to the Research Center Finn-Medi. Later,more research buildings were built in the hospital area,composing a science park. There are now seven research buildings. [33] [34]
Malmivuo started his vocal studies and joined the Tampere Opera chorus in 1976;at the same time,he started his professorship at TUT. He studied singing in Finland and Germany. He also participated in the Opera Studio at the Sibelius Academy,Helsinki. He was later invited to sing as a soloist in the Tampere Opera and other operas in Finland. His roles included Il Commendatore (Mozart: Don Giovanni ),Angelotti (Puccini: Tosca ),Il Frate (Verdi: Don Carlos ),Gremin (Tchaikovsky: Eugene Onegin ),Bonzo (Puccini: Madama Butterfly ),and Sarastro (Mozart: The Magic Flute ). [35] In addition to opera roles,he also gave church concerts and sang in several festive occasions in Finland and abroad.
In 1992,Malmivuo began to promote Professor Ragnar Granit as a Finnish Nobel Prize winner. Though he moved to the Carolinian Institute in Stockholm in 1941,he received the Nobel Prize in 1967 in Physiology or Medicine for the work he had done in Finland before moving to Sweden. He could not receive the Prize earlier since he was a member of the Nobel Committee until his retirement. [36]
After Ragnar Granit’s death,Malmivuo began to use the name Ragnar Granit Institute for his Institute of Biomedical Engineering. He also established the Ragnar Granit Foundation,the founding members of which were institutions from Finland,Sweden,the UK,and the USA,which were closely connected to Ragnar Granit's life work. [37] [36]
Magnetoencephalography (MEG) is a functional neuroimaging technique for mapping brain activity by recording magnetic fields produced by electrical currents occurring naturally in the brain,using very sensitive magnetometers. Arrays of SQUIDs are currently the most common magnetometer,while the SERF magnetometer is being investigated for future machines. Applications of MEG include basic research into perceptual and cognitive brain processes,localizing regions affected by pathology before surgical removal,determining the function of various parts of the brain,and neurofeedback. This can be applied in a clinical setting to find locations of abnormalities as well as in an experimental setting to simply measure brain activity.
Functional neuroimaging is the use of neuroimaging technology to measure an aspect of brain function,often with a view to understanding the relationship between activity in certain brain areas and specific mental functions. It is primarily used as a research tool in cognitive neuroscience,cognitive psychology,neuropsychology,and social neuroscience.
Electrical impedance tomography (EIT) is a noninvasive type of medical imaging in which the electrical conductivity,permittivity,and impedance of a part of the body is inferred from surface electrode measurements and used to form a tomographic image of that part. Electrical conductivity varies considerably among various biological tissues or the movement of fluids and gases within tissues. The majority of EIT systems apply small alternating currents at a single frequency,however,some EIT systems use multiple frequencies to better differentiate between normal and suspected abnormal tissue within the same organ.
Neurotechnology encompasses any method or electronic device which interfaces with the nervous system to monitor or modulate neural activity.
Bioelectromagnetics,also known as bioelectromagnetism,is the study of the interaction between electromagnetic fields and biological entities. Areas of study include electromagnetic fields produced by living cells,tissues or organisms,the effects of man-made sources of electromagnetic fields like mobile phones,and the application of electromagnetic radiation toward therapies for the treatment of various conditions.
Neuroimaging is the use of quantitative (computational) techniques to study the structure and function of the central nervous system,developed as an objective way of scientifically studying the healthy human brain in a non-invasive manner. Increasingly it is also being used for quantitative research studies of brain disease and psychiatric illness. Neuroimaging is highly multidisciplinary involving neuroscience,computer science,psychology and statistics,and is not a medical specialty. Neuroimaging is sometimes confused with neuroradiology.
Bioelectrical impedance analysis (BIA) is a method for estimating body composition,in particular body fat and muscle mass,where a weak electric current flows through the body,and the voltage is measured in order to calculate impedance of the body. Most body water is stored in muscle. Therefore,if a person is more muscular,there is a high chance that the person will also have more body water,which leads to lower impedance. Since the advent of the first commercially available devices in the mid-1980s the method has become popular,owing to its ease of use and portability of the equipment. It is familiar in the consumer market as a simple instrument for estimating body fat. BIA actually determines the electrical impedance,or opposition to the flow of an electric current through body tissues,which can then be used to estimate total body water (TBW),which can be used to estimate fat-free body mass and,by difference with body weight,body fat.
Biomagnetism is the phenomenon of magnetic fields produced by living organisms;it is a subset of bioelectromagnetism. In contrast,organisms' use of magnetism in navigation is magnetoception and the study of the magnetic fields' effects on organisms is magnetobiology.
A biosignal is any signal in living beings that can be continually measured and monitored. The term biosignal is often used to refer to bioelectrical signals,but it may refer to both electrical and non-electrical signals. The usual understanding is to refer only to time-varying signals,although spatial parameter variations are sometimes subsumed as well.
David Cohen made many of the first pioneering measurements in the area of biomagnetism,although he was initially trained as a nuclear physicist.
Jarl-Thure Eriksson is Doctor of Science in Technology,Professor of Electrical Engineering and Rector of Tampere University of Technology (TUT) in Finland between the years 1997–2008. During Eriksson's period as rector,the university expanded vigorously and its scientific publishing activity amplified. Due to his scientific merits,Eriksson has been a member of the Finnish Academy of Technology since 1989 and of the Swedish Academy of Engineering Sciences in Finland since 1997. His perhaps most significant position of trust outside the university is membership in the Governing Board of the Millennium Prize Foundation since 2003. He is currently Chancellor of Åbo Akademi University in Turku,Finland.
Electroencephalography (EEG) is a method to record an electrogram of the spontaneous electrical activity of the brain. The biosignals detected by EEG have been shown to represent the postsynaptic potentials of pyramidal neurons in the neocortex and allocortex. It is typically non-invasive,with the EEG electrodes placed along the scalp using the International 10–20 system,or variations of it. Electrocorticography,involving surgical placement of electrodes,is sometimes called "intracranial EEG". Clinical interpretation of EEG recordings is most often performed by visual inspection of the tracing or quantitative EEG analysis.
Electromagnetic therapy or electromagnetic field therapy refers to therapy involving the use of magnets or electromagnets.
John Peter Wikswo,Jr. is a biological physicist at Vanderbilt University. He was born in Lynchburg,Virginia,United States.
Robert Plonsey was the Pfizer-Pratt University Professor Emeritus of Biomedical Engineering at Duke University. He is noted for his work on bioelectricity.
Gunnar Nils Toivo Svaetichin was a Swedish-Finnish-Venezuelan physiologist who,in 1956,showed by examining the external layers of fish retinas that electroretinograms display particular sensitivity to three different groups of wavelengths in the areas of blue,green and red. This provided the first biological demonstration in support of the Young-Helmholtz trichromatic theory. He also gave name to the S-potential,which was the first experimental evidence that opponency existed in the visual system.
Magnetomyography (MMG) is a technique for mapping muscle activity by recording magnetic fields produced by electrical currents occurring naturally in the muscles,using arrays of SQUIDs. It has a better capability than electromyography for detecting slow or direct currents. The magnitude of the MMG signal is in the scale of pico (10−12) to femto (10−15) Tesla (T). Miniaturizing MMG offers a prospect to modernize the bulky SQUID to wearable miniaturized magnetic sensors.
The following outline is provided as an overview of and topical guide to brain mapping:
Bioelectromagnetic medicine deals with the phenomenon of resonance signaling and discusses how specific frequencies modulate cellular function to restore or maintain health. Such electromagnetic (EM) signals are then called medical information,which are used in health informatics.
The charge-based formulation of the boundary element method (BEM) is a dimensionality reduction numerical technique that is used to model quasistatic electromagnetic phenomena in highly complex conducting media with a very large number of unknowns. The charge-based BEM solves an integral equation of the potential theory written in terms of the induced surface charge density. This formulation is naturally combined with fast multipole method (FMM) acceleration,and the entire method is known as charge-based BEM-FMM. The combination of BEM and FMM is a common technique in different areas of computational electromagnetics and,in the context of bioelectromagnetism,it provides improvements over the finite element method.