Low-cost/high-precision smart power supply for data loggers

This paper presents a low-cost/high-precision smart power supply for application on data loggers. The microprocessor unit is the brain of the system and manages the events and was optimized to provide electrical energy to the electronic devices under normal operation and under the presence of disruptive events. The measurements showed that when switching either from battery to AC or from AC to battery, neither caused the shutdown of the power supply nor affected the behavior of the power supply. The power supply was able to charge 80% of the battery on a fast recharge of 1 h and the remaining 20% on a slow recharge of 2 h. The current allocated to the battery did not affect the operation of the power supply. The tests also showed that the power supply was able to transmit relevant information about its operation to external computers through a serial connection. This information includes the voltages at the battery and at the output of the voltage regulators, the voltage level of the AC network, the level of the battery charge and if it was being recharged, the current being drained, the internal temperatures at two locations (one measured on the resistor that limits battery charge and another measured on the output diode of the regulators), and whether the cooling system is being used. The total cost of this smart power supply is less than $150, demonstrating good potential for its popularization.This work was partially supported by FCT national funds, under the national support to R&D units grant, through the reference project UIDB/04436/2020 and UIDP/04436/2020. This research was also partially supported by the FAPESP agency (Fundação de Amparo à Pesquisa do Estado de São Paulo) through the project with the reference 2019/05248-7. Professor João Paulo Carmo was support by a PQ scholarship with the reference CNPq 304312/2020-7

Wireless device with energy management for mlosed-loop deep brain stimulation (CLDBS)

Deep brain stimulation (DBS) is an effective and safe medical treatment that improves the lives of patients with a wide range of neurological and psychiatric diseases, and has been consolidated as a first-line tool in the last two decades. Closed-loop deep brain stimulation (CLDBS) pushes this tool further by automatically adjusting the stimulation parameters to the brain response in real time. The main contribution of this paper is a low-size/power-controlled, compact and complete CLDBS system with two simultaneous acquisition channels, two simultaneous neurostimulation channels and wireless communication. Each channel has a low-noise amplifier (LNA) buffer in differential configuration to eliminate the DC signal component of the input. Energy management is efficiently done by the control and communication unit. The battery supports almost 9 h with both the acquisition and stimulation circuits active. If only the stimulation circuit is used as an Open Loop DBS, the battery can hold sufficient voltage for 24 h of operation. The whole system is low-cost and portable and therefore it could be used as a wearable device.This work was partially supported by the FAPESP agency (Fundação de Amparo à Pesquisa do Estado de São Paulo) through the project with the reference 2019/05248-7. Professor João Paulo Carmo was supported by a PQ scholarship with the reference CNPq 304312/2020-7

Development and validation of a Virtual Reality environment for rehabilitation of upper limbs in people with Spinal Cord Injury

Este trabalho caracteriza dados cinemáticos de membros superiores de pessoas com lesão medular durante um protocolo de alcance com o objetivo de desenvolver um ambiente de realidade virtual personalizado para treinar atividades de vida diária. Quatro pacientes com nível neurológico de lesão de C5 a C8 alcançaram cinco pontos sobre a mesa para simular uma atividade da vida diária que utiliza ombro e flexão de cotovelo. Eles estavam usando clusters com marcadores ao lado de câmeras VICON para capturar ângulos de flexão de ombros e cotovelo. Os dados cinemáticos coletados são usados juntamente com a antropometria em um ambiente de realidade virtual parametrizado para treinar membros superioresThis work characterizes kinematic data from upper limbs of people with spinal cord injury during a reach protocol in order to develop a personalized virtual reality environment to train activities of daily living. Four patients with neurological level of lesion from C5 to C8 reached five points over table to simulate an activity of daily living that uses shoulder and elbow flexion. They were using clusters with markers alongside VICON cameras to capture flexion angles from shoulders and elbow. The kinematic data collected is used alongside anthropometry in a parameterized virtual reality environment to train upperlimbs

Low-Cost/High-Precision Smart Power Supply for Data Loggers

This paper presents a low-cost/high-precision smart power supply for application on data loggers. The microprocessor unit is the brain of the system and manages the events and was optimized to provide electrical energy to the electronic devices under normal operation and under the presence of disruptive events. The measurements showed that when switching either from battery to AC or from AC to battery, neither caused the shutdown of the power supply nor affected the behavior of the power supply. The power supply was able to charge 80% of the battery on a fast recharge of 1 h and the remaining 20% on a slow recharge of 2 h. The current allocated to the battery did not affect the operation of the power supply. The tests also showed that the power supply was able to transmit relevant information about its operation to external computers through a serial connection. This information includes the voltages at the battery and at the output of the voltage regulators, the voltage level of the AC network, the level of the battery charge and if it was being recharged, the current being drained, the internal temperatures at two locations (one measured on the resistor that limits battery charge and another measured on the output diode of the regulators), and whether the cooling system is being used. The total cost of this smart power supply is less than $150, demonstrating good potential for its popularization