Remote Home Assessment of Patients With Amyotrophic Lateral Sclerosis

Overview

The goal of this observational study is the develop new ways of remotely monitoring the health and symptoms of people living with amyotrophic lateral sclerosis from within their homes. The main questions it aims to answer are: * Can we integrate a new muscle monitoring device into Imperial College London's home monitoring platform? * Can we investigate and understand the relationship between muscle activity and measure of patient behaviour (e.g., patient movement), physiology (e.g., pulse/blood pressure variation) and sleep quality from the home? * Can we establish a home-based multimodal biomarker that tracks the neurodegenerative process in ALS? Participants will have passive internet-of-things sensors and internet-enabled medical devices installed in their homes for one year. Some sensors will record automatically without any interaction from the participants, but some will require participants to engage with daily (e.g., blood pressure monitor) on their own or with the help of a study partner. Where possible, researchers will compare the collected data to other neurodegenerative diseases and healthy controls to understand differences over time.

Amyotrophic lateral sclerosis (ALS), is a neurodegenerative disease that affects nerve cells causing loss of muscle control. Patients with ALS often die within three years of diagnosis. There is only one available drug for ALS, which offers only a small increase to survival by two to three months. The discovery of new drugs for ALS is difficult due to a lack of objective measures that can be used to track disease progression. Consequently, there is a huge need to discover measures that can reliably track ALS over time, which can then be included in clinical trials to speed up drug discovery. Muscle twitches are a distinctive characteristic present in all patients with ALS. These muscle twitches can be seen at the surface of the skin and can be detected accurately with electromyography (EMGs). We predict that these muscle twitches will provide a sensitive measure of disease progression. Due to large dropout rates caused by travelling to and from the hospital, we have built and validated a compact high-density EMG device that sits on the surface of the skin to facilitate repeated assessments from patients' homes. This small device is a tenth of the cost of current devices and has been demonstrated to safely and effectively record muscle twitches. The EMG will be integrated into a digital remote home monitoring platform called Minder. Minder is an established platform for recording internet-enabled medical devices and sensors from within a patient's home. This study aims to establish a home-based digital measure that can track disease progression in patients with ALS. We will recruit 20 patients with ALS from King's Motor Nerve Clinic. Patients will participate in the study for 12-months and will undergo continuous monitoring through the digital monitoring platform alongside regular EMG recordings.