MELTz

MELTz Hand Rehabilitation System

Neurorehabilitation for hand paralysis
tailored to suit individual patients' needs

MELTz is a device for neurorehabilitation in patients with hand paralysis. It provides stable and continuous neuroscience-based support, helping patients relearn how to move their hands. Modes and menus tailored to symptoms provide effective hand rehabilitation.

Just Four Steps from Setup to Training

  • MELTz consists of a main unit with a monitor, a supporter and unit worn on the hand, and an EMG cable for measuring muscle potentials. The therapist attaches the EMG cables, electrodes, the supporter, and hand unit to the patient, and patient sits in a chair during the training. The hand unit can be attached to either the left or right hand by replacing the thumb unit. The main unit is started once usage preparation is complete.

    • The therapist operates the main unit. The patient wears the training equipment, including the hand unit, supporter, and EMG cable.

    • Training requires a table to hold the upper limb support device in place and a chair for the patient. To train the left hand, place the device on the left side; to train the right hand, place the device on the right side.

    • Attach the EMG cable to the electrode and set the hand unit according to the hand to be attached.Turn on the main unit, start the system, and initialize the equipment. During initialization, adjust the thumb unit's orientation so that the fingers do not hit each other, and press the [▶] button on the initialization screen.

  • Set up the equipment to be worn by the patient. The EMG cable band is secured to the patient's upper arm. After attaching the reference electrode, the three electrodes are applied to the arm. The dedicated supporter and hand unit are fitted and adjusted to suit the distance between the fingers and the length of each finger.

    • Wrap the EMG cable band around the patient’s upper arm to secure it. After attaching the reference electrode (GND/RLD) to the patient’s elbow, attach electrode Ch1 to the extensor digitorum muscle, electrode Ch2 to the flexor digitorum profundus muscle, and then attach electrode Ch3 to the flexor digitorum superficialis muscle.

    • With the supporter’s hand unit attachment facing the back of the hand, pass the hand through the supporter, and then tighten the hook and loop fastener strap. The hand unit is worn over the supporter and secured with the MP belt.

    • Adjust finger spacing by raising the finger spacing adjustment lock lever. The hand unit’s finger size is adjusted to the length of each finger, and the DIP joint is secured with the DIP belt.

    • Attach the thumb unit to the thumb. Adjust the position of the thumb joints in accordance with the training to be performed.

  • The range of movement is adjusted on the main unit. Extension mode is used to configure the extension movement range of the thumb and fingers. Flexion mode adjusts the movement range of the flexion side of the fingers. Speed, flexion forces, and extension forces can be adjusted, and the movement range settings can be saved. Three assessment menus are available when performing assessments: Electromyography and force, AROM, and Spasticity.

    • [Press the "Adjust Range of Movement" button and select extension or flexion to adjust the range of movement for each finger. Press the [▲] (extension side movement) and [▼] (flexion side movement) buttons to adjust the range of movement for extension of the thumb and fingers. The four fingers can also be adjusted together.

    • There are 10 adjustment levels for speed, flexion force, and extension force. Speed adjusts the device's operating speed, while flexion force and extension force adjust the motor output in these respective directions.

    • To run the assessment (Optional), press [Run] under “Assessment”. Electromyography and force, AROM, and spasticity will be measured.

  • Start the training. Select a mode of training to be performed: passive, active instruction, and active-free. In all modes, the instruction style, exercise pattern, and the number of repetitions are configured before training begins.

    Passive mode

    Operates without myoelectricity.

    • Press [Task], [Times], and [Progress] in the lower left training box to configure the exercise pattern. The Task tab configures the amount of time each position is held. The Times tab configures the number of movements, the number of sets, and the rest time between sets. Finally, the Progress tab is used to turn audio on/off and configure relax movements.

    • Press the [▶︎]Button to start training.

    • A: Shows Training Time and Total Time.
      B: Shows movement instructions and countdown.
      C: Pause and Stop buttons.
      D: Shows the time elapsed for the current task. Displays the progress status bar.
      E: Shows the configured range of movement.

    Active Instruction Mode

    Controls patient movement using myoelectricity
    and performs training in accordance with the configured instructions.

    • Press [Task], [Times], and [Progress] in the lower left training box to configure the exercise pattern. The Tasks tab is used to configure the three exercise patterns “Make fist, extend fingers, relax,” “Make fist, relax,” and “Extend fingers, relax,” as well as the duration. The Counts tab is used to configure the number of movements, sets, and rests between sets. Finally, the “Progress” tab is used to turn audio on/off and limited mode on/off.

    • Pressing the [▶︎] button starts automatic calibration. The device identifies when an exercise (attempt) is performed in accordance with the instructions. The equipment assists with the exercise (attempt) during training.
      Note: Calibration can also be configured manually.

    • A: Shows Training Time and Total Time.
      B: Shows movement instructions and countdown.
      C: Pause and Stop buttons.
      D: Shows the time elapsed for the current task. Displays the progress status bar. Displays how many movements have been configured and the progress of the number of sets.
      E: Shows the configured range of movement.
      F: Represents identified myoelectric patterns as graph positions and colors.
      G: Displays muscle shape and identification status (as colors).

    Active Free Mode

    Controls patient movement using myoelectricity
    but allows patients to perform the exercise at their own pace.

    • When the task display box displays “Calibration is required to start” press the [Calibrate and Commence Training] button. Have the patient perform the exercises in accordance with the instructions to calibrate.

    • If the automatic calibration fails to recognize the myoelectricity, manual calibration is required. Stop the device and press the Calibration button located in the EMG pattern box, then select Manual from the Calibration Mode box on the left.

    • A: Shows Training Time and Total Time.
      B: Pause and Stop buttons.
      C: Shows the time elapsed for the current task. Displays the progress status bar. Displays how many movements have been configured and the progress of the number of sets.
      D: Shows the configured range of movement.
      E: Represents identified myoelectric patterns as graph positions and colors.
      F: Displays muscle shape and identification status (as colors).

Benefits of MELTz
for Neurorehabilitation

Paralysis and motor dysfunction after stroke result from damage to areas of the brain involved in movement. Therefore, recovery of motor function requires rebuilding damaged brain function and having the cerebral nervous system relearn how to move.

Neurorehabilitation is a new method of rehabilitation based on neuroscience, where patients relearn motor functions through restructuring neural pathways in the cerebrum.

MELTz uses an AI based on proprietary algorithms to comprehensively analyze the electrical signals in the patient's forearm. As a result, it provides more opportunities for rehabilitation by recognizing the hand movement that the patient is trying to perform and accurately reproducing the same movement repeatedly using robotic assistance. Providing movement assistance in conjunction with motor intent encourages the cerebral nervous system to relearn these movements.

Three Core Technologies Behind MELTz

Bio-Signal
AI analysis and algorithms
Biomimetic robotic

MELTz is composed of core technologies from MELTIN, a start-up company operating in the field of cyborg development.. The company's technologies provide highly sensitive bio-signal measurements, biomimetic robotics, and analysis using AI equipped with proprietary algorithms. For example, myoelectric data are measured with high sensitivity, then instantly analyzed by the AI to recognize the wearer's intent and translate it into robotic movements in real-time, providing assistance and feedback for movement and motion.

Bio-Signal
Core Technology No. 1
High-speed, high-sensitivity capture of bio-signals
Myoelectricity signals carry motor commands from the brain to the muscles. MELTz uses forearm sensors to measure vast amounts of myoelectric data approximately 1,000 times per second. These data are converted into robotic movements via high-speed, high-precision analysis to provide real-time support for hand movements. This instantaneous linkage between intent and movement is expected to encourage the brain to relearn movements. In addition, optimization of the electrode sensors and measurement system enables highly sensitive measurements, capturing even the weakest myoelectric signals from the patient.
AI analysis and algorithms
Core Technology No. 2
An AI-equipped system with proprietary algorithms
By comprehensively analyzing myoelectric data using an AI-equipped system with proprietary algorithms, MELTz can instantly identify whether the wearer is trying to open or close their fingers, and assist their movements. New analytical techniques specific to neurorehabilitation enable assisted exercise that leads to effective rehabilitation.
Biomimetic robotic
Core Technology No. 3
Delicate but strong biomimetic robotics technology
MELTIN possesses robotic technologies that reproduce human body movements on the basis of biomimetics. This ability makes it possible to reproduce finger movements with precision, dexterity, and strength. The use of technologies to reproduce these delicate movements has enabled gripping and pinching movements that are essential for occupational therapy. The wire-powered device worn on the patient’s hand powerfully moves their fingers. This device provides sufficient force to enable individuals who are unable to unclench their fists to release their fingers.

The design of MELTz is safe, easy to use,
and appropriate for everyday use.

MELTz is designed to be a safe, easy-to-use, and user-friendly device from the perspectives of product design, UI design, and UX design. The user experience of MELTz is intended to eliminate anxiety through size customization and an easy-to-understand visual interface. In addition, the system is designed to be used repeatedly without causing strain.

Product design
An advanced form factor that can be worn regardless of hand size
Fine adjustments can be made to the hand unit, allowing it to fit a variety of hands regardless of differences such as finger length. The hand unit itself weighs less than 500 g. Weight reductions were achieved by incorporating the motor for moving the wires and the computer for analyzing biometric signals into the main unit. Controls are in place to prevent the hand unit's force from exceeding a certain level, ensuring patient safety. This combination of bio-signals, AI, and other cutting-edge technologies forms MELTz's core value.
UI (user interface) design
Motivating for the patient, straightforward for the therapist
MELTz training can easily be performed by following the on-screen instructions from start to finish. This system provides a wide variety of training settings that can be easily tailored to each patient’s needs. Myoelectric analysis is completed within 1 minute after the device is equipped, enabling rehabilitation work to commence quickly. In addition, training results can be visualized and displayed on screen in real-time, motivating patients.
UX (user experience) design
Optimized to enable focus for rehabilitation
Every component of MELTz, from the hand unit to the screen-based display, has been designed to make things simple for the therapist and help the patient focus on their rehabilitation. Various innovations, such as the hand unit’s comfort and easy configuration of training menus, provide a unified rehabilitation experience and peace of mind. These benefits encourage patients to continue their rehabilitation and maximize the effectiveness of the rehabilitation.

Medical device information

  • Generic name

    Active extension / bending and stretching rotation exercise equipment

  • Commercial name

    MELTz Hand Rehabilitation System

  • Classification

    Controlled medical devices / Controlled medical devices requiring special maintenance

  • Medical device
    certification no.

    304AIBZX00014000

  • Power source

    • Voltage

      AC 100 V

    • Frequency

      50 / 60 Hz

    • Power

      Max. 200 VA

  • Size

    W 540 x D 735 x H 1290 mm

  • Weight

    Approx. 50 kg

  • Operaing mode

    Continuous

  • Electric shock protection

    Class I device / BF-type applied parts

  • Usage environment

    • Temperature

      5~35℃

    • Humidity

      10~90%RH

    • Atomospheric pressure

      800~1060hPa

  • Storage environment

    • Temperature

      -20~60℃

    • Humidity

      10~90%RH

    • Atomospheric pressure

      800~1060hPa

  • Electrical safety standards

    JIS T 0601-1:2017, JIS T 0601-1-2:2012

Faq

Patient indications
  • A. The device has the following three modes, enabling training that matches symptoms.

    For patients displaying weak myoelectricity training is possible using the passive mode or the active instruction mode (limited mode), etc.

    • Passive: Operates without using myoelectricity.
    • Active instruction: Controls patient movement using myoelectricity and performs training in accordance with the configured instructions.
    • Active-free: Controls patient movement using myoelectricity without instructions. This enables free-form training to be performed.
  • A. To ensure patient safety controls are in place to prevent force from exceeding a certain level. Operating speed can also be adjusted depending on patient symptoms, further enhancing device safety.
  • A. FRETO (upper limb support device) is available as an option that enables training in load-free situations in which the hand/forearm is attached to the device.
Device features
  • A. In neuroscience-based rehabilitation methods, AI is used to analyze the patient’s bio-signals and read how patients with hemiplegia due to stroke or other causes, want to move their hands. In this way AI assists with hand movement in line with patient intentions. By using this device to repeat intended movements the aim is to enable the brain to relearn how to move the hands.
Usage method
  • A. Please see the website for details about basic installation. The website also provides videos of installation processes and methods of use according to condition/symptoms.
Troubleshooting and maintenance
  • A. Service life is six years. We recommend annual inspection and maintenance in order to ensure device safety and performance.
  • A. The electrodes are consumables. In addition, depending on the state of wear the supporters will need to be replaced (approximately every six months).
Purchase
  • A. We are planning to open the contact information of the seller in the near future.

    Until then, please contact MELTIN.
    https://www.meltin.jp/en/contact/

  • A. The device can also be used for rehabilitation purposes in nursing facilities under the supervision of a doctor.

Inquiries about purchase / trial rental

Please contact the information below with inquiries about purchase / trial rental of this product.

Tech and research-related inquiries

Please contact MELTIN with any tech or research-related inquiries.
What is MELTIN?
We are a venture company founded in 2013 that develops cyborg technology. Our original “bio-signal processing technology” and “robotic technology” that reproduces the human body serve as our two core technologies, and we are developing our cyborg business in this new area on two axes: avatars and medical device. In 2016, we were involved in the world’s first “Cyborg Olympics”; we announced our concept model, the avatar robot MELTANT-α, which uses robot technology, in 2018, and the MELTANT-β for field testing in actual working environments in 2020.

Before Checking Out Our Product Information

Among MELTz products, the MELTz Hand Rehabilitation System is a medical device aimed at medical professionals.The healthcare business is aimed at the general public.