Andre Pigatto - Academia.edu (original) (raw)
Papers by Andre Pigatto
Electrical impedance tomography detects changes in ventilation after airway clearance in spinal muscular atrophy type I
Respiratory Physiology & Neurobiology, Dec 1, 2021
The effect of mechanical insufflation-exsufflation (MIE) for airway clearance in patients with sp... more The effect of mechanical insufflation-exsufflation (MIE) for airway clearance in patients with spinal muscular atrophy type I (SMA-I) on the distribution of ventilation in the lung is unknown, as is the duration of its beneficial effects. A pilot study to investigate the feasibility of using three dimensional (3-D) electrical impedance tomography (EIT) images to estimate lung volumes pre- and post-MIE for assessing the effectiveness of mechanical insufflation-exsufflation (MIE) was conducted in 6 pediatric patients with SMA-I in the neuromuscular clinic at Children's Hospital Colorado. EIT data were collected before, during, and after the MIE procedure on two rows of 16 electrodes placed around the chest. Lung volumes were computed from the images and compared before, during, and after the MIE procedure to assess the ability of EIT to estimate changes in lung volume during insufflation and exsufflation. Images of pulsatile pulmonary perfusion were computed in subjects able to perform breath-holding. In four of the six subjects, lung volumes during tidal breathing increased after MIE (average change from pre to post MIE was 58.8±55.1 ml). The time-dependent plots of lung volume computed from the EIT data clearly show when the MIE device insufflates and exsufflates air and the rest periods between mechanical coughs. Images of pulmonary pulsatile perfusion were computed from data collected during breathing pauses. The results suggest that EIT holds promise for estimating lung volumes and ventilation/perfusion mismatch, both of which are useful for assessing the effectiveness of MIE in clearing mucus plugs.
An Automatic Cycling Performance Measurement System Based on ANFIS
Studies in computational intelligence, 2018
Cycling is a sport that has grown widely in the last decades, what has attracted the attention of... more Cycling is a sport that has grown widely in the last decades, what has attracted the attention of research laboratories seeking to understand the factors that influence the athletes’ performance; most of the researches consider only the power transmitted to the wheel to analyze the training level of the cyclist. However, recent studies have shown a weak correlation between the peak power in an indoor test and the times in a time trial competition. Considering this, the following chapter describes the development and evaluation of a new approach to cycling performance measurement, implemented using a three input Adaptive Neuro-Fuzzy System, based on three parameters: the average mechanical power applied by the athlete to the bicycle pedal, the power standard deviation and the effective force bilateral asymmetry index. Data used to develop and train the system were measured using an experimental force platform based on instrumented load cells with built-in conditioning circuit and strain gages that measure and acquire the components of the force that is applied to a road bicycle crank arm during pedaling in real conditions and save them on a SD card. A randomized block experiment design was performed with fifteen cyclists to analyze the significance of the scores obtained using the collected data as input of the ANFIS. ANOVA showed that the subject causes significant variation on the score. The subjects cycling performance score was then determined using the ANFIS; the mean score was 24.7 ± 18.7% which was considered a consistent result taking into account the volunteers cycling experience. The developed system has shown a promising applicability, since an automatic performance classifier may be a great tool for coaches to objectively compare the performance level among different cyclists or to evaluate the progression of the athlete among different trials.
A new crank arm based load cell, with built-in conditioning circuit and strain gages, to measure the components of the force applied by a cyclist
This report describes the development of a force platform based on instrumented load cells with b... more This report describes the development of a force platform based on instrumented load cells with built-in conditioning circuit and strain gages to measure and acquire the components of the force that is applied to the bike crank arm during pedaling in real conditions, and save them on a SD Card. To accomplish that, a complete new crank arm 3D solid model was developed in the SolidWorks, with dimensions equivalent to a commercial crank set and compatible with a conventional road bike, but with a compartment to support all the electronics necessary to measure 3 components of the force applied to the pedal during pedaling. After that, a 6082 T6 Aluminum Crankset based on the solid model was made and instrumented with three Wheatstone bridges each. The signals were conditioned on a printed circuit board, made on SMD technology, and acquired using a microcontroller with a DAC. Static deformation analysis showed a linearity error below 0.6% for all six channels. Dynamic analysis showed a natural frequency above 136Hz. A one-factor experiment design was performed with 5 amateur cyclists. ANOVA showed that the cyclist weight causes significant variation on the force applied to the bicycle pedal and its bilateral symmetry.
Design and calibration of a Tonpilz transducer for low frequency medical ultrasound tomography
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
An Automatic Cycling Performance Classifier System Based on the Crank Arm Force Measurement Data
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018
This paper describes the development of an automatic cycling performance measurement system with ... more This paper describes the development of an automatic cycling performance measurement system with a Fuzzy Logic Controller (FLC), using Mamdani Inference method, to classify the performance of the cyclist. From data of the average power, its standard deviation and the effective force bilateral asymmetry index, a score that represents the cyclist performance is determined. Data are acquired using an experimental crank arm load cell force platform developed with built-in strain gages and conditioning circuit that measure the force that is applied to the bicycle pedal during cycling with a linearity error under 0.6%. A randomized block experiment design was performed with 15 cyclists of 29±5 years with a body mass of 73±9kg and a height of 1.78±0.07m. The average power reached by the subjects was 137.63±59.6W; the mean bilateral asymmetry index, considering all trials, was 67.01±6.23%. The volunteers cycling performance scores were then determined using the developed FLC; the mean score was 25.4% ± 16.9%. ANOVA showed that the subject causes significant variation on the performance score.
An automatic cycling performance measurement system based on ANFIS
Cycling is a sport that has grown widely in the last decades, what has attracted the attention of... more Cycling is a sport that has grown widely in the last decades, what has attracted the attention of research laboratories seeking to understand the factors that influence the athletes’ performance; most of the researches consider only the power transmitted to the wheel to analyze the training level of the cyclist. However, recent studies have shown a weak correlation between the peak power in an indoor test and the times in a time trial competition. Considering this, the following chapter describes the development and evaluation of a new approach to cycling performance measurement, implemented using a three input Adaptive Neuro-Fuzzy System, based on three parameters: the average mechanical power applied by the athlete to the bicycle pedal, the power standard deviation and the effective force bilateral asymmetry index. Data used to develop and train the system were measured using an experimental force platform based on instrumented load cells with built-in conditioning circuit and str...
Electrical impedance tomography detects changes in ventilation after airway clearance in spinal muscular atrophy type I
Respiratory Physiology & Neurobiology, 2021
The effect of mechanical insufflation-exsufflation (MIE) for airway clearance in patients with sp... more The effect of mechanical insufflation-exsufflation (MIE) for airway clearance in patients with spinal muscular atrophy type I (SMA-I) on the distribution of ventilation in the lung is unknown, as is the duration of its beneficial effects. A pilot study to investigate the feasibility of using three dimensional (3-D) electrical impedance tomography (EIT) images to estimate lung volumes pre- and post-MIE for assessing the effectiveness of mechanical insufflation-exsufflation (MIE) was conducted in 6 pediatric patients with SMA-I in the neuromuscular clinic at Children's Hospital Colorado. EIT data were collected before, during, and after the MIE procedure on two rows of 16 electrodes placed around the chest. Lung volumes were computed from the images and compared before, during, and after the MIE procedure to assess the ability of EIT to estimate changes in lung volume during insufflation and exsufflation. Images of pulsatile pulmonary perfusion were computed in subjects able to perform breath-holding. In four of the six subjects, lung volumes during tidal breathing increased after MIE (average change from pre to post MIE was 58.8±55.1 ml). The time-dependent plots of lung volume computed from the EIT data clearly show when the MIE device insufflates and exsufflates air and the rest periods between mechanical coughs. Images of pulmonary pulsatile perfusion were computed from data collected during breathing pauses. The results suggest that EIT holds promise for estimating lung volumes and ventilation/perfusion mismatch, both of which are useful for assessing the effectiveness of MIE in clearing mucus plugs.
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Aug 1, 2016
This report describes the development of a force platform based on instrumented load cells with b... more This report describes the development of a force platform based on instrumented load cells with built-in conditioning circuit and strain gages to measure and acquire the components of the force that is applied to the bike crank arm during pedaling in real conditions, and save them on a SD Card. To accomplish that, a complete new crank arm 3D solid model was developed in the SolidWorks, with dimensions equivalent to a commercial crank set and compatible with a conventional road bike, but with a compartment to support all the electronics necessary to measure 3 components of the force applied to the pedal during pedaling. After that, a 6082 T6 Aluminum Crankset based on the solid model was made and instrumented with three Wheatstone bridges each. The signals were conditioned on a printed circuit board, made on SMD technology, and acquired using a microcontroller with a DAC. Static deformation analysis showed a linearity error below 0.6% for all six channels. Dynamic analysis showed a n...
Electrical impedance tomography detects changes in ventilation after airway clearance in spinal muscular atrophy type I
Respiratory Physiology & Neurobiology, Dec 1, 2021
The effect of mechanical insufflation-exsufflation (MIE) for airway clearance in patients with sp... more The effect of mechanical insufflation-exsufflation (MIE) for airway clearance in patients with spinal muscular atrophy type I (SMA-I) on the distribution of ventilation in the lung is unknown, as is the duration of its beneficial effects. A pilot study to investigate the feasibility of using three dimensional (3-D) electrical impedance tomography (EIT) images to estimate lung volumes pre- and post-MIE for assessing the effectiveness of mechanical insufflation-exsufflation (MIE) was conducted in 6 pediatric patients with SMA-I in the neuromuscular clinic at Children's Hospital Colorado. EIT data were collected before, during, and after the MIE procedure on two rows of 16 electrodes placed around the chest. Lung volumes were computed from the images and compared before, during, and after the MIE procedure to assess the ability of EIT to estimate changes in lung volume during insufflation and exsufflation. Images of pulsatile pulmonary perfusion were computed in subjects able to perform breath-holding. In four of the six subjects, lung volumes during tidal breathing increased after MIE (average change from pre to post MIE was 58.8±55.1 ml). The time-dependent plots of lung volume computed from the EIT data clearly show when the MIE device insufflates and exsufflates air and the rest periods between mechanical coughs. Images of pulmonary pulsatile perfusion were computed from data collected during breathing pauses. The results suggest that EIT holds promise for estimating lung volumes and ventilation/perfusion mismatch, both of which are useful for assessing the effectiveness of MIE in clearing mucus plugs.
An Automatic Cycling Performance Measurement System Based on ANFIS
Studies in computational intelligence, 2018
Cycling is a sport that has grown widely in the last decades, what has attracted the attention of... more Cycling is a sport that has grown widely in the last decades, what has attracted the attention of research laboratories seeking to understand the factors that influence the athletes’ performance; most of the researches consider only the power transmitted to the wheel to analyze the training level of the cyclist. However, recent studies have shown a weak correlation between the peak power in an indoor test and the times in a time trial competition. Considering this, the following chapter describes the development and evaluation of a new approach to cycling performance measurement, implemented using a three input Adaptive Neuro-Fuzzy System, based on three parameters: the average mechanical power applied by the athlete to the bicycle pedal, the power standard deviation and the effective force bilateral asymmetry index. Data used to develop and train the system were measured using an experimental force platform based on instrumented load cells with built-in conditioning circuit and strain gages that measure and acquire the components of the force that is applied to a road bicycle crank arm during pedaling in real conditions and save them on a SD card. A randomized block experiment design was performed with fifteen cyclists to analyze the significance of the scores obtained using the collected data as input of the ANFIS. ANOVA showed that the subject causes significant variation on the score. The subjects cycling performance score was then determined using the ANFIS; the mean score was 24.7 ± 18.7% which was considered a consistent result taking into account the volunteers cycling experience. The developed system has shown a promising applicability, since an automatic performance classifier may be a great tool for coaches to objectively compare the performance level among different cyclists or to evaluate the progression of the athlete among different trials.
A new crank arm based load cell, with built-in conditioning circuit and strain gages, to measure the components of the force applied by a cyclist
This report describes the development of a force platform based on instrumented load cells with b... more This report describes the development of a force platform based on instrumented load cells with built-in conditioning circuit and strain gages to measure and acquire the components of the force that is applied to the bike crank arm during pedaling in real conditions, and save them on a SD Card. To accomplish that, a complete new crank arm 3D solid model was developed in the SolidWorks, with dimensions equivalent to a commercial crank set and compatible with a conventional road bike, but with a compartment to support all the electronics necessary to measure 3 components of the force applied to the pedal during pedaling. After that, a 6082 T6 Aluminum Crankset based on the solid model was made and instrumented with three Wheatstone bridges each. The signals were conditioned on a printed circuit board, made on SMD technology, and acquired using a microcontroller with a DAC. Static deformation analysis showed a linearity error below 0.6% for all six channels. Dynamic analysis showed a natural frequency above 136Hz. A one-factor experiment design was performed with 5 amateur cyclists. ANOVA showed that the cyclist weight causes significant variation on the force applied to the bicycle pedal and its bilateral symmetry.
Design and calibration of a Tonpilz transducer for low frequency medical ultrasound tomography
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
An Automatic Cycling Performance Classifier System Based on the Crank Arm Force Measurement Data
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018
This paper describes the development of an automatic cycling performance measurement system with ... more This paper describes the development of an automatic cycling performance measurement system with a Fuzzy Logic Controller (FLC), using Mamdani Inference method, to classify the performance of the cyclist. From data of the average power, its standard deviation and the effective force bilateral asymmetry index, a score that represents the cyclist performance is determined. Data are acquired using an experimental crank arm load cell force platform developed with built-in strain gages and conditioning circuit that measure the force that is applied to the bicycle pedal during cycling with a linearity error under 0.6%. A randomized block experiment design was performed with 15 cyclists of 29±5 years with a body mass of 73±9kg and a height of 1.78±0.07m. The average power reached by the subjects was 137.63±59.6W; the mean bilateral asymmetry index, considering all trials, was 67.01±6.23%. The volunteers cycling performance scores were then determined using the developed FLC; the mean score was 25.4% ± 16.9%. ANOVA showed that the subject causes significant variation on the performance score.
An automatic cycling performance measurement system based on ANFIS
Cycling is a sport that has grown widely in the last decades, what has attracted the attention of... more Cycling is a sport that has grown widely in the last decades, what has attracted the attention of research laboratories seeking to understand the factors that influence the athletes’ performance; most of the researches consider only the power transmitted to the wheel to analyze the training level of the cyclist. However, recent studies have shown a weak correlation between the peak power in an indoor test and the times in a time trial competition. Considering this, the following chapter describes the development and evaluation of a new approach to cycling performance measurement, implemented using a three input Adaptive Neuro-Fuzzy System, based on three parameters: the average mechanical power applied by the athlete to the bicycle pedal, the power standard deviation and the effective force bilateral asymmetry index. Data used to develop and train the system were measured using an experimental force platform based on instrumented load cells with built-in conditioning circuit and str...
Electrical impedance tomography detects changes in ventilation after airway clearance in spinal muscular atrophy type I
Respiratory Physiology & Neurobiology, 2021
The effect of mechanical insufflation-exsufflation (MIE) for airway clearance in patients with sp... more The effect of mechanical insufflation-exsufflation (MIE) for airway clearance in patients with spinal muscular atrophy type I (SMA-I) on the distribution of ventilation in the lung is unknown, as is the duration of its beneficial effects. A pilot study to investigate the feasibility of using three dimensional (3-D) electrical impedance tomography (EIT) images to estimate lung volumes pre- and post-MIE for assessing the effectiveness of mechanical insufflation-exsufflation (MIE) was conducted in 6 pediatric patients with SMA-I in the neuromuscular clinic at Children's Hospital Colorado. EIT data were collected before, during, and after the MIE procedure on two rows of 16 electrodes placed around the chest. Lung volumes were computed from the images and compared before, during, and after the MIE procedure to assess the ability of EIT to estimate changes in lung volume during insufflation and exsufflation. Images of pulsatile pulmonary perfusion were computed in subjects able to perform breath-holding. In four of the six subjects, lung volumes during tidal breathing increased after MIE (average change from pre to post MIE was 58.8±55.1 ml). The time-dependent plots of lung volume computed from the EIT data clearly show when the MIE device insufflates and exsufflates air and the rest periods between mechanical coughs. Images of pulmonary pulsatile perfusion were computed from data collected during breathing pauses. The results suggest that EIT holds promise for estimating lung volumes and ventilation/perfusion mismatch, both of which are useful for assessing the effectiveness of MIE in clearing mucus plugs.
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Aug 1, 2016
This report describes the development of a force platform based on instrumented load cells with b... more This report describes the development of a force platform based on instrumented load cells with built-in conditioning circuit and strain gages to measure and acquire the components of the force that is applied to the bike crank arm during pedaling in real conditions, and save them on a SD Card. To accomplish that, a complete new crank arm 3D solid model was developed in the SolidWorks, with dimensions equivalent to a commercial crank set and compatible with a conventional road bike, but with a compartment to support all the electronics necessary to measure 3 components of the force applied to the pedal during pedaling. After that, a 6082 T6 Aluminum Crankset based on the solid model was made and instrumented with three Wheatstone bridges each. The signals were conditioned on a printed circuit board, made on SMD technology, and acquired using a microcontroller with a DAC. Static deformation analysis showed a linearity error below 0.6% for all six channels. Dynamic analysis showed a n...