AhilayaBiomedicals
Real-time FoG detection & cueing

Detect the freeze.Prevent the fall.

FoGO Health senses Freezing of Gait from the ankle in real time and delivers vibroacoustic cueing in under 250 milliseconds.

An older adult walking through a clinic corridor wearing the FoGO Health ankle sensor
Worn in-clinicAnkle IMU
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Response latency
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F1 score
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Detection accuracy

Freezing is episodic, so a clinic visit rarely catches it.

Parkinson's disease affects millions worldwide, and Freezing of Gait is a common, disabling symptom that severely impacts mobility, independence, and quality of life. Because episodes are context dependent, they may not appear during a routine visit, making assessment and timely intervention difficult. Clinicians and patients need objective, real-time monitoring that captures freezing as it happens.

0M+
Living with Parkinson's worldwide
0%
Experience freezing in long-duration Parkinson's
An older adult walking carefully across a room at home
"Freezing of Gait is the leading cause of falls in Parkinson's patients."

What Freezing of Gait does

A common and disabling symptom of Parkinson's disease that standard care struggles to capture, because it rarely appears on cue.

Clinical progression

How a gait degrades into a freeze

The signature the device watches for: rhythmic walking giving way to shorter, shuffling steps and, finally, a motor block.

01
Normal gait

Regular, rhythmic walking pattern.

02
Slowing

Reduced step length and cadence.

03
Further slowing

Shuffling, festinating steps.

04
Freezing

Motor block, an inability to step.

One continuous loop, from sensing to cue

FoGO Health combines ankle-mounted IMU sensing with intelligent real-time detection. When a freezing episode is identified, targeted vibroacoustic stimulation supports timely intervention.

Chest modulevibrotactile cue · 0.72 thresholdAnkle IMU ×24.0 × 6.3 cm · 100 Hzdetect → cue< 250 msFoGO HEALTH · SYSTEM SCHEMATIC · v2.0 PROTOTYPE
  1. 01

    Data acquisition

    Ankle-mounted IMU sensors capture high-resolution lower-limb kinematics continuously at 100 Hz.

  2. 02

    Real-time processing

    On-device edge computing filters and windows the signal with minimal latency, no cloud round trip.

  3. 03

    AI analysis

    A lightweight model classifies gait state and identifies the onset of a freezing episode as it happens.

  4. 04

    Intervention

    The chest module delivers targeted vibroacoustic cueing to support timely intervention and mobility.

  5. <250

    Real-time processing enables intervention in under 250 milliseconds. See the technology.

Measured, not asserted

A clinician reviewing a patient's gait-signal readout on screen
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Response latency
Detect to cue
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Accuracy
Validated
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F1 score
On-device
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AUC score
Discrimination

Validated across three independent datasets to guard against overfitting, and benchmarked against threshold and cloud baselines.

Clinical partnership

Bring objective FoG monitoring into your clinic

For healthcare providers, researchers, and partners exploring clinical trials with FoGO Health, developed alongside AIIMS Bhubaneswar.