Florin Serea - Academia.edu (original) (raw)

Papers by Florin Serea

Research paper thumbnail of Preliminary tests on a hybrid upper arm exoskeleton for upper arm rehabilitation for disabled patients

2014 International Conference and Exposition on Electrical and Power Engineering (EPE), 2014

ABSTRACT This paper deals with Matlab modeling of the upper limb muscles supposed to be driven by... more ABSTRACT This paper deals with Matlab modeling of the upper limb muscles supposed to be driven by means of FES - Functional Electrical Stimulation. FES, is a relative new method used for the recovery of the neurological patient and can be widely applicable. The FES technology is used successfully in recovery of the handicapped people. Most times the central nervous system is affected. The electrical stimulus replaces a command that previous was generated voluntary. In order to produce a muscle contraction sufficient to achieve a movement we have to apply an electrical stimulus and the necessary condition is that the nerve that will cause the contraction to be intact. Complex movements can be produced by activating the muscle lodges in steps which can replicate movements and activities previously made voluntary. These movements are guided by an electrically operated exoskeleton.

Research paper thumbnail of 2014 - Bulla et al --- Information Sharing Protocol for pHMMs

Background: In many applications, a family of nucleotide or protein sequences classified into sev... more Background: In many applications, a family of nucleotide or protein sequences classified into several subfamilies has to be modeled. Profile Hidden Markov Models (pHMMs) are widely used for this task, modeling each subfamily separately by one pHMM. However, a major drawback of this approach is the difficulty of dealing with subfamilies composed of very few sequences. One of the most crucial bioinformatical tasks affected by the problem of small-size subfamilies is the subtyping of human immunodeficiency virus type 1 (HIV-1) sequences, i.e., HIV-1 subtypes for which only a small number of sequences is known. Results: To deal with small samples for particular subfamilies of HIV-1, we introduce a novel model-based information sharing protocol. It estimates the emission probabilities of the pHMM modeling a particular subfamily not only based on the nucleotide frequencies of the respective subfamily but also incorporating the nucleotide frequencies of all available subfamilies. To this end, the underlying probabilistic model mimics the pattern of commonality and variation between the subtypes with regards to the biological characteristics of HI viruses. In order to implement the proposed protocol, we make use of an existing HMM architecture and its associated inference engine. Conclusions: We apply the modified algorithm to classify HIV-1 sequence data in the form of partial HIV-1 sequences and semi-artificial recombinants. Thereby, we demonstrate that the performance of pHMMs can be significantly improved by the proposed technique. Moreover, we show that our algorithm performs significantly better than Simplot and Bootscanning.

Research paper thumbnail of Towards Clinical Implementation of an FES&Exoskeleton to Rehabilitate the Upper Limb in Disabled Patients

2015 20th International Conference on Control Systems and Computer Science, 2015

Research paper thumbnail of A model-based information sharing protocol for profile Hidden Markov Models used for HIV-1 recombination detection

BMC Bioinformatics, 2014

Background: In many applications, a family of nucleotide or protein sequences classified into sev... more Background: In many applications, a family of nucleotide or protein sequences classified into several subfamilies has to be modeled. Profile Hidden Markov Models (pHMMs) are widely used for this task, modeling each subfamily separately by one pHMM. However, a major drawback of this approach is the difficulty of dealing with subfamilies composed of very few sequences. One of the most crucial bioinformatical tasks affected by the problem of small-size subfamilies is the subtyping of human immunodeficiency virus type 1 (HIV-1) sequences, i.e., HIV-1 subtypes for which only a small number of sequences is known. Results: To deal with small samples for particular subfamilies of HIV-1, we introduce a novel model-based information sharing protocol. It estimates the emission probabilities of the pHMM modeling a particular subfamily not only based on the nucleotide frequencies of the respective subfamily but also incorporating the nucleotide frequencies of all available subfamilies. To this end, the underlying probabilistic model mimics the pattern of commonality and variation between the subtypes with regards to the biological characteristics of HI viruses. In order to implement the proposed protocol, we make use of an existing HMM architecture and its associated inference engine. Conclusions: We apply the modified algorithm to classify HIV-1 sequence data in the form of partial HIV-1 sequences and semi-artificial recombinants. Thereby, we demonstrate that the performance of pHMMs can be significantly improved by the proposed technique. Moreover, we show that our algorithm performs significantly better than Simplot and Bootscanning.

Research paper thumbnail of Towards human arm rehabilitation in stroke patients by means of a hybrid FES&robotic glove

2014 International Conference and Exposition on Electrical and Power Engineering (EPE), 2014

This paper is about the laboratory test of a hand exoskeleton for the rehabilitation of the patie... more This paper is about the laboratory test of a hand exoskeleton for the rehabilitation of the patients that suffered a cerebrovascular accident (CVA). Recent studies have shown that intensive and repetitive training may be necessary to modify neural organization and recover the functional motor skills. The main aim is to develop a mechatronic architecture whose design covers as much as possible the anatomic and functional finger phalanges, providing support for the actuation and artificial sensorial system.

Research paper thumbnail of Preliminary tests on a hybrid upper arm exoskeleton for upper arm rehabilitation for disabled patients

2014 International Conference and Exposition on Electrical and Power Engineering (EPE), 2014

ABSTRACT This paper deals with Matlab modeling of the upper limb muscles supposed to be driven by... more ABSTRACT This paper deals with Matlab modeling of the upper limb muscles supposed to be driven by means of FES - Functional Electrical Stimulation. FES, is a relative new method used for the recovery of the neurological patient and can be widely applicable. The FES technology is used successfully in recovery of the handicapped people. Most times the central nervous system is affected. The electrical stimulus replaces a command that previous was generated voluntary. In order to produce a muscle contraction sufficient to achieve a movement we have to apply an electrical stimulus and the necessary condition is that the nerve that will cause the contraction to be intact. Complex movements can be produced by activating the muscle lodges in steps which can replicate movements and activities previously made voluntary. These movements are guided by an electrically operated exoskeleton.

Research paper thumbnail of Design of a hybrid FES-mechanical intelligent haptic robotic glove

2013 17th International Conference on System Theory, Control and Computing (ICSTCC), 2013

ABSTRACT This paper relays to a research project regarding the design and development of a Hybrid... more ABSTRACT This paper relays to a research project regarding the design and development of a Hybrid FES-mechanical Intelligent Haptic Robot-Glove (IHRG) for the rehabilitation of the patients who suffered a cerebrovascular accident (CVA). The IHRG is an exoskeleton that supports the human hand and hand activities by using control architectures for dexterous grasping and manipulation. The main aim is to develop a mechanical architecture consisting of a cascade of articulated elements, whose design covers as much as possible the anatomic and functional finger phalanges, providing support for the actuation system.

Research paper thumbnail of Preliminary results on a hybrid FES-exoskeleton system aiming to rehabilitate upper limb in disabled people

2013 17th International Conference on System Theory, Control and Computing (ICSTCC), 2013

ABSTRACT This paper presents the design and the development process of a hybrid FES-Exoskeleton (... more ABSTRACT This paper presents the design and the development process of a hybrid FES-Exoskeleton (EXOSLIM) system intended for rehabilitation of the upper limbs in stroke patients. The present work is aiming to develop an exoskeleton that supports the human upper limb activities by using a control architecture for shoulder flexion and extension, abduction and adduction, medial and lateral rotation, elbow flexion and extension and forearm pronation and supination. The main goal is to develop an adaptable and modular exerciser, which follows one of the user upper limbs during the rehabilitation process, sparing training time and allowing fast adjustments to new situations and using any residual control of the end-user. These facts make the system suitable for long term utilization in daily activities. The exoskeleton is designed with mechanical compliance to the human arm. The actuation system is also studied and designed. The paper provides an overview of the upper limb rehabilitation and evaluation techniques.

Research paper thumbnail of Preliminary tests on a hybrid upper arm exoskeleton for upper arm rehabilitation for disabled patients

2014 International Conference and Exposition on Electrical and Power Engineering (EPE), 2014

ABSTRACT This paper deals with Matlab modeling of the upper limb muscles supposed to be driven by... more ABSTRACT This paper deals with Matlab modeling of the upper limb muscles supposed to be driven by means of FES - Functional Electrical Stimulation. FES, is a relative new method used for the recovery of the neurological patient and can be widely applicable. The FES technology is used successfully in recovery of the handicapped people. Most times the central nervous system is affected. The electrical stimulus replaces a command that previous was generated voluntary. In order to produce a muscle contraction sufficient to achieve a movement we have to apply an electrical stimulus and the necessary condition is that the nerve that will cause the contraction to be intact. Complex movements can be produced by activating the muscle lodges in steps which can replicate movements and activities previously made voluntary. These movements are guided by an electrically operated exoskeleton.

Research paper thumbnail of 2014 - Bulla et al --- Information Sharing Protocol for pHMMs

Background: In many applications, a family of nucleotide or protein sequences classified into sev... more Background: In many applications, a family of nucleotide or protein sequences classified into several subfamilies has to be modeled. Profile Hidden Markov Models (pHMMs) are widely used for this task, modeling each subfamily separately by one pHMM. However, a major drawback of this approach is the difficulty of dealing with subfamilies composed of very few sequences. One of the most crucial bioinformatical tasks affected by the problem of small-size subfamilies is the subtyping of human immunodeficiency virus type 1 (HIV-1) sequences, i.e., HIV-1 subtypes for which only a small number of sequences is known. Results: To deal with small samples for particular subfamilies of HIV-1, we introduce a novel model-based information sharing protocol. It estimates the emission probabilities of the pHMM modeling a particular subfamily not only based on the nucleotide frequencies of the respective subfamily but also incorporating the nucleotide frequencies of all available subfamilies. To this end, the underlying probabilistic model mimics the pattern of commonality and variation between the subtypes with regards to the biological characteristics of HI viruses. In order to implement the proposed protocol, we make use of an existing HMM architecture and its associated inference engine. Conclusions: We apply the modified algorithm to classify HIV-1 sequence data in the form of partial HIV-1 sequences and semi-artificial recombinants. Thereby, we demonstrate that the performance of pHMMs can be significantly improved by the proposed technique. Moreover, we show that our algorithm performs significantly better than Simplot and Bootscanning.

Research paper thumbnail of Towards Clinical Implementation of an FES&Exoskeleton to Rehabilitate the Upper Limb in Disabled Patients

2015 20th International Conference on Control Systems and Computer Science, 2015

Research paper thumbnail of A model-based information sharing protocol for profile Hidden Markov Models used for HIV-1 recombination detection

BMC Bioinformatics, 2014

Background: In many applications, a family of nucleotide or protein sequences classified into sev... more Background: In many applications, a family of nucleotide or protein sequences classified into several subfamilies has to be modeled. Profile Hidden Markov Models (pHMMs) are widely used for this task, modeling each subfamily separately by one pHMM. However, a major drawback of this approach is the difficulty of dealing with subfamilies composed of very few sequences. One of the most crucial bioinformatical tasks affected by the problem of small-size subfamilies is the subtyping of human immunodeficiency virus type 1 (HIV-1) sequences, i.e., HIV-1 subtypes for which only a small number of sequences is known. Results: To deal with small samples for particular subfamilies of HIV-1, we introduce a novel model-based information sharing protocol. It estimates the emission probabilities of the pHMM modeling a particular subfamily not only based on the nucleotide frequencies of the respective subfamily but also incorporating the nucleotide frequencies of all available subfamilies. To this end, the underlying probabilistic model mimics the pattern of commonality and variation between the subtypes with regards to the biological characteristics of HI viruses. In order to implement the proposed protocol, we make use of an existing HMM architecture and its associated inference engine. Conclusions: We apply the modified algorithm to classify HIV-1 sequence data in the form of partial HIV-1 sequences and semi-artificial recombinants. Thereby, we demonstrate that the performance of pHMMs can be significantly improved by the proposed technique. Moreover, we show that our algorithm performs significantly better than Simplot and Bootscanning.

Research paper thumbnail of Towards human arm rehabilitation in stroke patients by means of a hybrid FES&robotic glove

2014 International Conference and Exposition on Electrical and Power Engineering (EPE), 2014

This paper is about the laboratory test of a hand exoskeleton for the rehabilitation of the patie... more This paper is about the laboratory test of a hand exoskeleton for the rehabilitation of the patients that suffered a cerebrovascular accident (CVA). Recent studies have shown that intensive and repetitive training may be necessary to modify neural organization and recover the functional motor skills. The main aim is to develop a mechatronic architecture whose design covers as much as possible the anatomic and functional finger phalanges, providing support for the actuation and artificial sensorial system.

Research paper thumbnail of Preliminary tests on a hybrid upper arm exoskeleton for upper arm rehabilitation for disabled patients

2014 International Conference and Exposition on Electrical and Power Engineering (EPE), 2014

ABSTRACT This paper deals with Matlab modeling of the upper limb muscles supposed to be driven by... more ABSTRACT This paper deals with Matlab modeling of the upper limb muscles supposed to be driven by means of FES - Functional Electrical Stimulation. FES, is a relative new method used for the recovery of the neurological patient and can be widely applicable. The FES technology is used successfully in recovery of the handicapped people. Most times the central nervous system is affected. The electrical stimulus replaces a command that previous was generated voluntary. In order to produce a muscle contraction sufficient to achieve a movement we have to apply an electrical stimulus and the necessary condition is that the nerve that will cause the contraction to be intact. Complex movements can be produced by activating the muscle lodges in steps which can replicate movements and activities previously made voluntary. These movements are guided by an electrically operated exoskeleton.

Research paper thumbnail of Design of a hybrid FES-mechanical intelligent haptic robotic glove

2013 17th International Conference on System Theory, Control and Computing (ICSTCC), 2013

ABSTRACT This paper relays to a research project regarding the design and development of a Hybrid... more ABSTRACT This paper relays to a research project regarding the design and development of a Hybrid FES-mechanical Intelligent Haptic Robot-Glove (IHRG) for the rehabilitation of the patients who suffered a cerebrovascular accident (CVA). The IHRG is an exoskeleton that supports the human hand and hand activities by using control architectures for dexterous grasping and manipulation. The main aim is to develop a mechanical architecture consisting of a cascade of articulated elements, whose design covers as much as possible the anatomic and functional finger phalanges, providing support for the actuation system.

Research paper thumbnail of Preliminary results on a hybrid FES-exoskeleton system aiming to rehabilitate upper limb in disabled people

2013 17th International Conference on System Theory, Control and Computing (ICSTCC), 2013

ABSTRACT This paper presents the design and the development process of a hybrid FES-Exoskeleton (... more ABSTRACT This paper presents the design and the development process of a hybrid FES-Exoskeleton (EXOSLIM) system intended for rehabilitation of the upper limbs in stroke patients. The present work is aiming to develop an exoskeleton that supports the human upper limb activities by using a control architecture for shoulder flexion and extension, abduction and adduction, medial and lateral rotation, elbow flexion and extension and forearm pronation and supination. The main goal is to develop an adaptable and modular exerciser, which follows one of the user upper limbs during the rehabilitation process, sparing training time and allowing fast adjustments to new situations and using any residual control of the end-user. These facts make the system suitable for long term utilization in daily activities. The exoskeleton is designed with mechanical compliance to the human arm. The actuation system is also studied and designed. The paper provides an overview of the upper limb rehabilitation and evaluation techniques.